1 to 25 of 41 Contract Machine Learning Jobs

the world pays, banks, and invests, and we need innovative minds to help us achieve our mission. Role Overview We are seeking a Senior ML Engineer with expertise in building and architecting complex systems on AWS infrastructure. As a technical expert, you will lead the design and implementation of highly … available, fault-tolerant systems to support mission-critical applications. Responsibilities Set direction and objectives for the team across project impact, ML system architecture, and best practices. Adapt standard machine learning techniques to modern parallel computing environments such as distributed clusters, multicore servers, and GPUs. Re-evaluate trade-offs … of existing features/ML systems and drive large efforts to reduce technical debt, designing from first principles when appropriate. Guide the team to develop scalable machine learning systems while influencing engineering culture and standards. Address complex online/production performance and evaluation issues requiring in-depth knowledge more »

Machine Learning Engineer - Contract Outside IR35 £550-650 per day Remote Machine Learning Engineer Join a top global Pharmaceutical companay on a large-scale deployment of state-of-the-art machine learning algorithms in cancer research. Be a part … of groundbreaking work that makes a real difference. Role: As a Machine Learning Software Engineer, you will: Support the development of internal ML tooling Develop novel tools or improve existing ones Add new features, fix bugs, enhance test coverage, and improve documentation Ensure compliance of processes and developed … of a cutting-edge team driving innovation in cancer research Work on impactful projects that contribute to life-saving technologies Collaborate with experts in machine learning and software engineering If you are passionate about machine learning and want to make a meaningful impact, apply now. more »

Outside IR35 Start Date:1st July Responsibilities: Deployment and Management: - Deploy and manage machine learning models in a production environment using Azure ML and related services. Pipeline Development: - Design, implement, and maintain CI/CD pipelines for machine learning projects. - Automate data ingestion, model training, evaluation … and deployment processes. Automation Architecture: - Develop and maintain automation scripts and tools to support the ML lifecycle. - Implement monitoring and alerting systems to detect and address performance issues. Collaboration and Support: - Work closely with data scientists and machine learning engineers to understand requirements and provide operational support. - Collaborate … with DevOps and IT teams to integrate ML systems with existing infrastructure. Performance Optimization: - Optimize model serving performance, ensuring minimal latency and high throughput. - Conduct regular performance tests and tune system parameters accordingly. Security and Compliance: - Implement security best practices to protect data and models. - Ensure compliance with relevant data more »

Outside IR35 Start Date:1st July Responsibilities: Deployment and Management: - Deploy and manage machine learning models in a production environment using Azure ML and related services. Pipeline Development: - Design, implement, and maintain CI/CD pipelines for machine learning projects. - Automate data ingestion, model training, evaluation … and deployment processes. Automation Architecture: - Develop and maintain automation scripts and tools to support the ML lifecycle. - Implement monitoring and alerting systems to detect and address performance issues. Collaboration and Support: - Work closely with data scientists and machine learning engineers to understand requirements and provide operational support. - Collaborate … with DevOps and IT teams to integrate ML systems with existing infrastructure. Performance Optimization: - Optimize model serving performance, ensuring minimal latency and high throughput. - Conduct regular performance tests and tune system parameters accordingly. Security and Compliance: - Implement security best practices to protect data and models. - Ensure compliance with relevant data more »

project with our global client in the FMCG Industry. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Minimum of 3-5 years of experience in developing and deploying computer vision and machine learning … image classification Strong understanding of image processing techniques and data augmentation methods. Experience in data collection, labelling, preprocessing, and augmentation. Ability to fine-tune machine learning models and optimize hyperparameters. Desirable Attributes: Experience with agricultural data would be advantageous. Knowledge of deploying machine learning models in … production environments. Familiarity with cloud platforms for AI and machine learning, such as AWS, Azure, or Google Cloud. Ability to translate business requirements into technical specifications. Strong analytical skills and a proactive approach to identifying and solving problems. Contract Details: Start: ASAP. Duration: 3months + with extensions Location more »

AI/ML Azure MLOps Engineer needed for a leading Financial Services Company in London Introduction: We are currently seeking an experienced and highly skilled AI/ML Azure MLOps Engineer to join our client, one of the leading financial services companies based in London. The successful candidate will be … responsible for developing, testing, deploying and maintaining machine learning models on Microsoft's cloud platform -Azure. Key Responsibilities: - Develop end-to-end solutions that leverage advanced analytics techniques such as deep learning - Implement DevOps principles and practices including CI/CD pipelines - Use infrastructure-as-code (IaC … required: AI/Machine Learning - In-depth knowledge of artificial intelligence/machine language concepts is essential along with experience implementing ML algorithms using Python libraries e.g scikit learn or TensorFlow. MLOPS - Familiarity with Machine Learning Operations which include model versioning control , monitoring metrics etc more »

members and external network. Good knowledge of external research funding opportunities. Skillset & Experience Essential: * A BSc degree in Computer Science with Artificial Intelligence/Machine Learning. * Preferable Additional professional training/certifications and experience in Cyber Security. * Preferable Substantial experience in Cybersecurity of Artificial Intelligence/Machine Learning * Preferable Substantial experience in Artificial Intelligence/Machine Learning applied to Cyber Security * Digital security experience in relevant digital security specialist area * Experience of research, innovation and/or solution development * Preferably Experience of managing digital security and/or research & innovation projects * Preferably Publication track record … Comfortable presenting in the public domain Advantage: French and German language skills Technical skills: * Technical specialist in this area of digital security: * Data Analytics * Machine Learning * Artificial Intelligence Some knowledge of any of the following: * Security Architecture * Cyber Forensics and Incident Response * Industrial Control Cyber Security * Network Security more »

of best-practice technology trends and commercially available digital security solutions. Skillset & Experience Essential: A BSc degree in Computer Science with Artificial Intelligence/Machine Learning. Experience working within Defence or Large Government Organisations Preferable Additional professional training/certifications and experience in Cyber Security. Preferable Substantial experience in … Cybersecurity of Artificial Intelligence/Machine Learning Preferable Substantial experience in Artificial Intelligence/Machine Learning applied to Cyber Security Digital security experience in relevant digital security specialist area Experience of research, innovation and/or solution development Preferably Experience of managing digital security and/… Comfortable presenting in the public domain Advantage: French and German language skills Technical skills: Technical specialist in this area of digital security: Data Analytics Machine Learning Artificial Intelligence Some knowledge of any of the following: Security Architecture Cyber Forensics and Incident Response Industrial Control Cyber Security Network Security more »

to communicate effectively with data scientists, analysts, and business stakeholders is essential. Good to have skills; Machine learning libraries: Familiarity with Spark ML or other machine learning libraries in Scala can be advantageous. Cloud computing experience: Experience with cloud platforms like AWS, Azure, or GCP for more »

Developer with experience in delivering a cloud-based solution to a problem based in the physical world. This work will support research, development and learning in data science (incl. machine learning), earth observation and digital twins. The key aim of the Front End is to expose (show … that the systems use. Knowledge of lower-level languages ( such as Fortran) as most of tmodels are written using this. Experience in working with machine learning approaches, particularly in creating platforms that are optimised for the use of this new technology. Past experience of working on governmental projects. more »

and maintain a research network to support the specialist cyber security subject. Essential Skills: A BSc degree in Computer Science with Artificial Intelligence/Machine Learning. Preferable Additional professional training/certifications and experience in Cyber Security. Preferable Substantial experience in Cybersecurity of Artificial Intelligence/Machine Learning Preferable Substantial experience in Artificial Intelligence/Machine Learning applied to Cyber Security Digital security experience in relevant digital security specialist area Experience of research, innovation and/or solution development Preferably Experience of managing digital security and/or research & innovation projects Preferably Publication track record more »

days) Week 6 - Probability & Statistics (3 days) Week 7 - Maths & Statistics Project (Self Study) Week 8 - Algorithms & Graph Theory (3 days) Week 9 - Machine Learning 1 (3 days) Week 10 - Machine Learning 2 (3 days) Week 11 - Data Science Project (Self Study) Week 12 - Project Review more »

edge digital security research and innovation activities for our esteemed clients. You will work alongside a team of researchers who are experts in developing machine learning algorithms and employing natural language processing (NLP) techniques in cyber-security applications. Collaborating with internal and external peers on cyber security innovation … neural networks architectures. 4. Digital security experience in relevant digital security specialist area. 5. A BSc degree in Computer Science with Artificial Intelligence/Machine Learning. 6. Experience of patent applications and intellectual property management is preferable. Skills: In addition to these qualifications, we expect that suitable candidates possess … re excited at the prospect of joining one of the UK's most advanced Digital Innovation Centers, focused solely on developing novel solutions utilizing Machine Learning Techniques applied against industry problems, then apply today! This is an exceptional opportunity for the right candidate to take on challenging and more »

externally, to build awareness and drive adoption of conversational AI solutions. - Stay up-to-date with the latest trends and advancements in AI and machine learning to continually enhance product offerings. Qualifications: - Bachelor's degree in Computer Science, Engineering, Business, or a related field (Master's preferred). … Proven experience (3+ years) as a Product Manager, with a focus on AI, machine learning, or related technologies. - Candidate needs to have Gov experience and working to GDS standards would be ideal - Strong understanding of conversational AI technologies, natural language processing (NLP), and chatbot frameworks. - Exceptional analytical and more »

Seeking AI/ML Azure Engineer for Exciting Financial Services Contract in London Are you an experienced Azure Engineer with a strong proficiency in Python, cloud platforms and artificial intelligence? Our client is seeking an AI/ML Azure Engineer to work on their exciting financial services project based in … ensuring good performance. Azure Cloud Platforms - Experience working specifically with Microsoft's cloud platform (preferred) will give applicants added advantage during consideration process. AI & ML- A comprehensive understanding of these two emerging technologies are necessary skills required from candidates applying for this position. Responsibilities: * Designing and developing machine learning more »

complex topics clearly. Nice to Have: Experience with Snowflake, Databricks, and GCP or Azure. Knowledge of streaming data architectures. Data security and compliance implementation. Machine Learning Operations (MLOps) experience. more »

direction for your team of experts focusing on bringing value with AI. Mentor and coach the data science team, fostering a culture of innovation, learning, and collaboration Collaborate with cross-functional partners, including product managers, engineers and marketers, to understand the business problems, identify the data and AI opportunities … science solutions in close collaboration with out technology teams Develop and implement data science value frameworks and methodologies, maximizing groundbreaking techniques and tools in machine learning, data engineering, data visualization, and experimentation. Establish and promote best in class data science, ensuring adherence to ethical, legal, and regulatory requirement more »

unlock progress across all other BUK Colleagues & Customer use You will be responsible for the tech implementation and optimization of Gen AI models including ML Ops Hands-on experience with Generative Artificial Intelligence projects. Proficiency in Large Language Models (LLMs) and Strong background in Python and Java programming. Deep Experience more »

and technology tools and solutions (including cloud HR systems, analytical tools and software, visualisation and reporting tools and planning software and latest AI/ML technologies); in order to leverage our employee data for operational reporting and strategic insights, whilst also understanding the latest trends to drive innovation. We are more »

producing, analysing and interpreting data information, with significant evidence of the underlying theory around data exploration, statistical inference, and predictive analytics. Positive attitude towards learning and development demonstrated by a record of CPD. Desirable Practical experience and expertise in conducting thorough data analysis, mining, and modelling in a work … using SQL Server in a work environment (including creating complex queries using structured query language to extract data and create reports) Practical experience with machine learning techniques, visualisation best practice, simulation, optimisation, and advanced multivariate statistics Skills, knowledge, ability Essential Ability to extract sensitive information from databases/ more »

business environment. Ability to produce clear and comprehensive documentation for BI and data transformation processes. Desirable Use of R and/or Python for machine learning and predictive analytics Communication Essential Ability to communicate effectively with staff at all levels. Excellent Oral and Written Communication Skills Ability to more »

Desirable Experience in System Dynamics Thinking. Experience of Working in the NHS and or knowledge of Pay modelling Skills and Attributes Essential Knowledge of machine learning and advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.). Ability to explain complex statistical more »

SQL coding * Data Warehousing * ETL/ELT * Knowledge of access control * Google BigQuery (Standard SQL) or similar * Looker or similar HIGHLY DESIRABLE * Power BI * Machine Learning * Predictive analytics BI Analyst/Data Engineer - BigQuery, Looker, SQL more »

systems, or products Proven experience as the technical lead across multiple product delivery teams building web applications, customer facing data products and/or machine learning systems Experience of developing applications as part of a large globally available platforms Experienced in evaluating and participated in competitive analysis of more »

and conversation design, with a focus on voice AI, chatbot, and IVR systems. Strong understanding of natural language processing (NLP/NLU) technologies and machine learning Demonstrated ability to design and implement complex conversational flows, considering factors such as user intent, context, and system capabilities. Experience working in more »