76 to 100 of 1,091 Machine Learning Jobs in the UK

Senior Machine Learning Engineer | Agency | £550 Inside IR35 | Initial 3 Months We are seeking a Senior MLE to jump straight in and work with clients to understand their objectives and harness the power of data and technology for organisational success. What's will you be doing: Deploying machine learning models to analyse marketing campaign performance, customer segmentation, and behavior prediction Collaborating with cross-functional teams to integrate machine learning solutions into marketing platforms, ensuring seamless implementation and functionality What we'd love to see: Strong working Python and SQL proficiency Extensive Machine Learning more »

Senior Machine Learning Engineer London office 1-2 days per week £80,000 to £95,000 Salary + Bonus & Benefits OVERVIEW A great opportunity for a Senior Machine Learning Engineer/Senior NLP Engineer with solid experience in fine-tuning Large Language Models to join a … strong FinTech scale-up with a high-calibre team in place. Your responsibilities as a Senior Machine Learning Engineer/Senior NLP/LLMs Engineer will include but not be limited to: Leverage Machine Learning/NLP techniques to build Large Language Models. Fine-tune Large … Language models and optimise them through applied Machine Learning. Collaborate with a strong team of Scientists/Engineers to deliver innovative and impactful work. YOUR SKILLS & EXPERIENCE A successful NLP Engineer/LLMs Engineer will have the following: Min. 4 years commercial experience in Natural Language Processing/NLP more »

We're looking for a Lead Machine Learning Engineer join our Data Engineering team. As the Lead ML Ops Engineer, you will be at the forefront of innovation, leading a small team of skilled engineers to develop and deploy scalable machine learning models. As part of … your role, you will be responsible for developing, maintaining, and expanding platform(s) that enable data scientists to deploy their machine learning models with ease. What will you do as a Lead Machine Learning Engineer at N Brown? Lead a team of engineers to create, maintain more »

Join Team Amex and let's lead the way together!Within this role you will be encouraged to provide strategic guidance and leadership using Machine Learning/Advanced Analytics across multiple operating areas within GSE including unstructured text mining and structured data mining to help business imperatives.How will … you make an impact in this role?Apply machine learning & natural language processing to uncover patterns, trends, and opportunities in large datasets, translating findings into practical recommendations.Lead, mentor, and develop a hard-working team of data scientists, providing mentorship, support, and encouraging a collaborative and innovative environment.Collaborating actively … practices, processes, and methodologies for data science projects and ensure adherence to quality standards.Stay abreast of the latest advancements and trends in data science, machine learning, and artificial intelligence, evaluating their potential impact on the organization's data strategy.Minimum Qualifications:Previous experience in a Data Science or Machine more »

Infrastructure Engineer - ML & GPGPU Deployment Within this position you will be joining a Leading AI Innovation Team as an Infrastructure Engineer improving their generative AI products with automated testing and evaluation. We are working with a London-based start-up dedicated to engineering cutting-edge AI systems poised to revolutionize … industries worldwide. As a Machine Learning Infrastructure Engineer, you will play a crucial role in developing a robust framework for rapid training and experimentation of large language models. Your responsibilities will include architecting an internal platform to facilitate high-throughput inference of these models. You will develop the … support. Candidates should possess a minimum of 2-3 years of professional experience in a similar capacity. Qualifications: We are seeking candidates with exceptional ML engineering evidenced by: Experience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch. Proficiency in efficient serving of large more »

technology and data-driven solutions. They’re seeking a seasoned Senior MLOps Engineer to join our dynamic team and drive the evolution of our machine learning operations. As a Senior MLOps Engineer, you will play a critical role in designing, implementing, and optimizing the MLOps infrastructure to support … the deployment and management of machine learning models at scale. This is an exciting opportunity to lead MLOps initiatives that will shape the future of insurance technology. Responsibilities: Lead the design and implementation of MLOps infrastructure and processes to support the end-to-end lifecycle of … machine learning models. Develop automated pipelines for model training, testing, deployment, and monitoring. Establish best practices for versioning, reproducibility, and scalability in ML workflows. Collaborate with cross-functional teams to integrate ML models into production systems. Implement robust monitoring and alerting mechanisms to track model performance and health. more »

I am looking for a Machine Learning Engineer to join a small Start Up based in London. My client is based in Central London and work collaboratively in the office, so on site work is a must. Salary is dependant on experience and in the region of … 50k, with the opportunity to grow professionally with a highly motivated start up. My client work in EnergyTech and are using AI/ML algorithms for data analysis, which has already led them to become an industry revenue business within 4 years of establishment. You will be responsible for the … research and development of machine learning algorithms optimisation, design and implement pre-processing pipelines for large data, create visualisation and reports for model performance, whilst collaborating with various engineers to improve knowledge and spark innovation. As the Machine Learning Engineer you will ideally have a degree more »

InstaDeep is looking for a Research Scientist to join our team working at the intersection of machine learning (ML) and cryo-electron microscopy and tomography (Cryo-EM/ET). The determination and study of 3D molecular structures can offer fundamental insights into the mechanisms that govern most … and ET are powerful tools for determining high-resolution structures of biomolecules in near native state. As these imaging techniques generate significant raw data, machine learning has great potential to accelerate and improve many stages of the processing pipeline; from particle picking and annotation, to reconstruction of 3D … and their API technologies; Molecular dynamics; Structural biology Demonstrated ability to contribute to novel research efforts; such as publications at leading life science or ML venues. About us: InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including more »

Newly founded, AGITProp is an AI-driven quant research firm that is pushing the boundaries of algorithmic trading. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive and integrated approach. At AGITProp, we are leveraging the latest … from across tech and finance to help us achieve our aim. About the Role We seek an exceptional Senior AI Engineer with a strong machine learning and AI background to join our team. In addition to exceptional programming skills and knowledge of data structures and algorithms, the ideal … candidate should also be proficient in the mathematical underpinnings of deep learning and deeply understand modern AI techniques. As a Senior AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge AI models. Responsibilities Work closely with the Director of AI research to design, develop, implement more »

and tailored experiences for our customers.Your key outcomes will be:Advanced Modeling and Deployment: Take ownership of the end-to-end lifecycle of sophisticated machine learning models (including GenAI, language and computer vision models) from conceptualization to deployment and ongoing maintenance in production environments. You will apply your … Methodology Selection: Lead the selection and application of the most appropriate data science methodologies for each use case. This may range from developing complex machine learning algorithms to designing data structures, labels and labeling protocols for effective implementation of the data-driven solutions.Strategic Development: Coordinate between domain experts … you’ll:Make a measurable impact on customer experienceConduct analysis to find opportunities for model enhancementsPlan and deliver the development of improvements to existing ML models.Measure and communicate impacts of the changes to key customersSystems: Python, GCP (Bigquery and Vertex AI), KubeflowYou’ll be a successful Senior Data Scientist at more »

Data Science Developer - Permanent - CFA Level 1 London90,000 - 120,000 per annumAs a Data Science Developer specialising in Machine Learning & Deep Learning, you will play a crucial role in our dynamic Portfolio Performance Analytics team. In this position, you will be at the forefront of leveraging … for Private Credit, Liquid Credit, and Private Equity Fund of Funds products Investment Products.Key Responsibilities 1 Model Development and Enhancement: * Utilise your expertise in machine learning and deep learning to develop and refine quantitative models, such as credit risk models and alpha models, for risk assessment, portfolio … business stakeholders to understand their goals and provide quantitative insights that align with overall business strategies. * Work with large datasets, utilising statistical methods and machine learning algorithms to extract meaningful insights that inform investment decisions. * Risk Management: * Contribute to a well-rounded approach to managing risks across our more »

Our esteemed client, a leading hedge fund on a global scale, is currently in search of a Software Engineer with a specialisation in Machine Learning Infrastructure for their London office. This offers an enticing opportunity to work with cutting-edge technologies, focusing on the design and development of … frameworks for machine learning and tools for data science. This position is ideal for an engineer with a background in deploying machine learning models into real-world applications, rather than concentrating solely on model training. This role necessitates substantial proficiency in Kubernetes along with a strong … using Python for production use. Key Requirements: Demonstrated experience of at least 5 years as a Software Engineer, with a track record of deploying ML models into production. Bachelor's degree in Computer Science or a related field. Proficient in core technologies, particularly Kubernetes. Experience working with distributed systems. more »

Graduate Machine Learning Engineer – Machine Learning Engineer - IOT ML A Cambridge University spin-out are looking for Top-tier academic Graduate (or up to 5 years’ experience) developers to join their award-winning start-up. My client works within the IOT sector and you will have … the opportunity to use Machine Learning techniques to solve real-time problems! We are looking for candidates with; · A STEM degree from a Top-tier University · Strong programming skills (C/C++, Java, Javascript or Python) · Problem solving skills A strong salary and the opportunity to work alongside more »

role offers career progression, training, and opportunities to pivot in a highly specialized field. This company is a leading specialist in developing bespoke software machine learning solutions for businesses within the engineering sector. In this role, you will be part of a specialist development team, contributing to the … development of bespoke machine learning products predominantly using C++. You will work as part of the team to code, debug, and assist across product development requirements. The role is based in the Leicester area and operates on a hybrid basis, requiring 3-4 days in the office. The … candidate will have experience utilizing C++ in a commercial environment. The right candidate should also be interested in the field of Artificial Intelligence and Machine Learning, have the ability to quickly grasp complex systems and relevant concepts, and possess strong verbal and written communication skills. This is a more »

provide advanced analytic data modelling systems Designing and launching innovative and complex analytical models, utilising a blend of state-of-the-art and traditional machine learning techniques, which is applied to both structured and unstructured data setsKey Actions Play a leading role in the development and design of … support junior data science team members and oversee all activities ensuring alignment with departmental and business-wide vision and strategies Scope, design, and implement machine learning models to support the numerous initiatives of the business and demonstrate the impact to the bottom line of the business Manage live … data engineering teams, in creating data science applications through the utilisation of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques Draft regular reports for senior management on departmental performance and present recommended models and departmental strategies for approval Maintain a deep more »

provide advanced analytic data modelling systems Designing and launching innovative and complex analytical models, utilising a blend of state-of-the-art and traditional machine learning techniques, which is applied to both structured and unstructured data sets Key Actions Play a leading role in the development and design … support junior data science team members and oversee all activities ensuring alignment with departmental and business-wide vision and strategies Scope, design, and implement machine learning models to support the numerous initiatives of the business and demonstrate the impact to the bottom line of the business Manage live … data engineering teams, in creating data science applications through the utilisation of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques Draft regular reports for senior management on departmental performance and present recommended models and departmental strategies for approval Maintain a deep more »

are looking for a Lead Machine Learning Engineer to join their team, working a part of the Data Science team to integrate ML technologies into internal business processes. Responsibilities: Lead the design, development, and deployment of ML models and pipelines, in close collaboration with Data Scientists, ML Engineers … Drive the adoption of best practices in code quality, design, scalability, and maintainability. Mentor and upskill members off the team. Maintain and enhance existing ML models, ensuring all models are deployed in production are monitored. Stay updated with the latest developments in ML/AI, and related fields to keep … Requirements: BSc or MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Good knowledge of ML/AI state-of-the-art, principles, practical applications and limitations Technical leadership, strong communication skills, mentoring experience How to Apply: Please register your interest more »

Machine Learning Quantitative Researcher A market-leading global hedge fund is looking for a Machine Learning Quantitative Researcher … to join their renowned team. Having full ownership of greenfield projects focused on generating PnL with machine learning through the application of ML algorithms in sophisticated coding solutions. Work at the forefront of the implementation of deep learning in the trading space with immediate returns on your … and entrepreneurial environment with great opportunities for career progression. Responsibilities: Apply the rigorous scientific method and methods such as NLP, neural networks and deep learning to develop sophisticated trading models across multiple asset classes that inform highly profitable trading strategies. Work with an elite group of software and data more »

Machine Learning Scientist Location: London/1 day per week from home Salary: Circa 140K 165K + Benefits Machine Learning Scientist required by fast-growing, Top Tech Company building state-of-the-art deep learning models! This is a varied, challenging role where youll lead … the development and ownership of pioneering research projects in categorical deep learning, from conceptualisation to execution Essential: PhD in Computer Science, Mathematics, or similar discipline At least 2yrs of industrial or academic work post PhD Proven track record of research published in top-tier conferences (e.g. NeurIPS, ICML, ICLR … architectures and a strong interest in category theory or type theory Industrial or academic experience leading a research/technical team, and implementing novel machine learning architectures Tremendous opportunity offering plenty of scope for career progression in a friendly, innovative environment where youll be able significant contributions to more »

contribute fully to our purpose. Reporting to the VP of Research, you’ll have the opportunity to work with state-of-the-art Deep Learning technology to develop creative solutions to exciting, challenging and industry-defined problems. How you’ll make an impact: Take ownership of research areas in … computer vision, machine learning and biometrics with high degree of autonomy tackling new, as yet, unsolved industry problems Work with our developers to see the products of the research turned into production code Collaborate with the research team on best solutions Communicate research outcomes across the company Contribute … broader research strategy of the company Challenge the status quo of the existing solutions You will work with a diverse team of AI and machine vision specialists, applying state-of-the-art Machine Learning and Deep Learning techniques to develop original solutions to world wide problems. more »

Machine Learning Engineer Remote Position DeepRec.ai are hiring for a talented Machine Learning Engineer to join a fantastic organisation on the East Coast who are using AI to transform and improve the clinical workflow. This is an innovative and inspiring organisation who have specific clinical tasks … strategic abilities. This will be an exciting journey to build their AI practice and a team around you. Required Skills: Building cloud and native machine learning architecture with: LLamaIndex, HuggingFace, SentenceTransformers, PyTorch, Python, Apache Spark. Experience with practical application of AI and scaling AI with these tools Experience more »

Machine Learning Engineer Up to £65 000 London (3 days a week) Company: This company is a global creative consultancy that partners with huge companies such as Mastercard, SAMSUNG, Mercedes, and Virgin Media! They are looking for a Senior Data Scientist to join their team, who has a … great generalist background to work on a variety of exciting projects as a senior member of the team. Responsibilities: Build machine learning models utilising CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. Function as a Full Stack …/CD. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, CI/DC, MLFlow, Kafka, Kubernetes, Consulting, Constancy more »

MLOps Engineer into their team. This company are looking for an experienced MLOps Engineer to play a key role in optimizing and scaling our machine learning operations. The successful candidate will work closely with the data scientists, software engineers, and IT professionals to deploy, manage, and monitor machine … deployment. Implement monitoring and alerting systems to ensure the performance and reliability of deployed models. Optimize infrastructure and resources to support scalable and efficient ML operations. Stay current with industry trends and best practices in ML Ops and recommend improvements to existing processes. Provide technical support and troubleshooting for ML … related issues. Requirements: Bachelor’s degree in computer science, Engineering, or related field; advanced degree preferred. 2+ years’ experience in ML Ops, DevOps, or a related field. Solid understanding of machine learning concepts and techniques. Proficiency in programming languages such as Python, Java, or Scala. Experience with cloud more »

BioAI Machine Learning Research Engineer (Mid-Senior Level) Location: London or Paris Hybrid Working Salary: London £60-95k depending on experience & Paris Euros 55-75k NO SPONSORSHIP AVAILABLE, SORRY Join a Global AI Solution company as they go through their next phase of growth! Our client … across the MRNA or Histology space (you must have experience in one of these areas). You will look at the latest development within ML and design and deliver these across ML and Neural Network Methodologies. You will be involved in data analysis and statistical modelling. You will be writing … premise and into the cloud. Skills : Experience either within the MRNA or Histology space Degree educated within a relative subject across STEM or Biology Machine Learning across LLM/NLP or Computer Vision Strong python engineering End o end machine learning pipeline experience Please get in more »

Founding Machine Learning Engineer Perm/full time London office 4 days per week Can offer sponsorship and relocation Up to £200K Significant equity for first joiners A YC-backed start-up in AI safety, is looking for a Machine Learning Engineer to join their founding … multi-instance clusters for data and model parallel training across GPUs/TPUs, preferably using PyTorch and Kubernetes. Proficiency in efficient serving of large machine learning models at scale, including quantisation and distributed computing. General: Keen interest in AI and AI safety Can demonstrate you can work in … call) you will be asked to answer at least one of the below questions: Describe your experience in creating/managing HPC clusters for ML models. What tools did you use? Describe how you have efficiently served large ML models at scale. Highlight any specific techniques or libraries used. Pleas more »