1 to 25 of 630 Algorithms Jobs in the UK excluding London

concepts across company stakeholders Extra kudos if you have: Prior experience in verification and validation of on-road Motion Planning systems Understanding of decision making, trajectory generation and control algorithms Exposure to automotive testing and simulation frameworks (e.g. Applied Intuition, Carla, etc.) Extensive experience with a variety of CI/CD tools and technologies (e.g., Git, Gitlab, Jenkins, GCP, AWS More ❯

RELEVANT EXPERIENCE Bachelor's degree in computer science, Electrical Engineering or related technical discipline. 2+ years of relevant experience in software development, including a clear understanding of data. structures, algorithms, software design and core programming concepts. Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team. Strong client/stakeholder management skills with strong interpersonal skills More ❯

full lifecycle-from prototype to deployment-delivering impactful, client-ready solutions that improve outcomes and accelerate innovation. Key Responsibilities Deploy fit-for-purpose models and design and implement AI algorithms for pharma and healthcare applications. Lead the transition of machine learning research into viable prototypes and scalable production systems. Apply advanced techniques in natural language processing and machine learning to … team development and onboarding. Required Qualifications Education: Master's degree in Machine Learning, Computer Science, Statistics, Physics, Mathematics, or a related field. Several years of experience developing machine learning algorithms and working with large-scale, real-world datasets. Programming: Proficiency in Python, experience with Java, C++, or deep learning frameworks is a plus. Tools & Platforms: Hands-on experience with Kubernetes More ❯

achieve organizational goals, with a commitment to fostering an inclusive and innovative culture. Foundational knowledge of programming languages (e.g., React, Python, JavaScript, Java, C++, C#), databases, data structures and algorithms Understanding of software skills including business analysis, development, maintenance, and software improvement. Proficiency in developmental toolsets Basic knowledge of industry-wide technology trends and best practices Exposure to agile methodologies More ❯

Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance 6. Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production 7. Leading projects and mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS - 5+ years More ❯

Sr. Applied Scientist, Last Mile Science Are you passionate about solving complex logistics challenges that directly impact millions of customers? Our Logistics Analytics team is at the forefront of revolutionizing delivery experiences through data-driven solutions and innovative technology. As More ❯

to solve very hard real-world engineering problems. Effectively communicate and educate other engineers in the theory and best practices of the application of AI. Evaluate and select AI algorithms and tools appropriate for specific problems. Perform statistical analysis and tuning to ensure implemented algorithms are producing accurate results. Reporting and documenting on AI processes and results. Participate in code … experience, Or M.Sc plus 2+ years of experience in implementing ML models and applications, Or PhD in a relevant area. Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques. Extensive experience in building AI based applications Strong understanding of Software Development best practices and in OO Design principles and patterns. Very strong competency in mathematics, statistics, data More ❯

growth strategy, this company offers a dynamic environment with varied and challenging projects. Depending on your skills and interests, you could be working on areas such as developing complex algorithms for physical process modelling, applying parallel computing to large-scale simulations, creating intuitive user interfaces (UIs), and producing high-quality 2D and 3D graphics. You will collaborate closely with engineers … to deployment. This is a fantastic opportunity for someone who wants to enhance their technical skills in an environment that encourages growth and innovation. Key Responsibilities: Develop and optimize algorithms for simulating physical processes and industrial systems. Work with parallel processing technologies to accelerate large-scale computations. Design and implement intuitive graphical user interfaces (GUIs) for complex modelling software. Contribute More ❯

As an AI/ML Python Engineer at JPMorgan Chase within the Client Onboarding and KYC Engineering team, your responsibilities will include probing intricate business problems and employing sophisticated algorithms to design, evaluate, and implement AI/ML applications or models to resolve these issues. You will be required to leverage the company's extensive data assets from both internal … sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in anomaly detection techniques, algorithms, and applications. Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred qualifications, capabilities, and skills Experience with big data frameworks, with a preference for Databricks. Experience with databases More ❯

Transformers, graph neural networks) in real-world applications. • Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face, etc.). • Strong software engineering background: data structures, algorithms, distributed systems, and version control (Git). • Experience designing scalable ML infrastructure on cloud platforms (AWS SageMaker, GCP AI Platform, Azure ML, or equivalent). • Solid understanding of data-engineering … Collaborative Attitude: You value cross-functional teamwork and can pivot between “researcher mode” and “software engineer mode” depending on the task at hand. • Growth-Oriented: You continually learn new algorithms, architectures, and engineering best practices; you encourage team members to do the same. ⸻ What We Offer • Competitive Compensation: Salary aligned with early-stage startup benchmarks; a large portion of the More ❯

BI platforms to enable natural language querying, automated insights, and conversational analytics. • Evaluate and optimize LLM-generated responses to ensure accuracy and relevance. • Deep understanding of AI/ML algorithms, LLMs, and modern AI architectures. • Proficiency in Python, SQL and AI/ML frameworks such as Hugging Face, LangChain, scikit-learn, TensorFlow, PyTorch and Semantic Kernel etc. • Develop compelling data More ❯

Java, Python, JavaScript or React Hands on experience of building RESTful APIs using popular frameworks like Spring Experience of following TDD and clean code principles Proficiency with data structures, algorithms and SQL Able to independently work in fast paced and rapidly changing environment Preferred Qualifications Experience of working in investment bank or financial services industry Experience of using cloud services More ❯

in Computer Science (2:1 and above). Strong numerical background with a knowledge of key statistical principals e.g. Bayesian and frequentist statistics, probability distributions. Fundamental understanding of ML algorithms e.g. linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with a preference for SQL and Python. Familiarity with large language models and More ❯

in Computer Science (2:1 and above). Strong numerical background with a knowledge of key statistical principals e.g. Bayesian and frequentist statistics, probability distributions. Fundamental understanding of ML algorithms e.g. linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with a preference for SQL and Python. Familiarity with large language models and More ❯

in Computer Science (2:1 and above). Strong numerical background with a knowledge of key statistical principals e.g. Bayesian and frequentist statistics, probability distributions. Fundamental understanding of ML algorithms e.g. linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with a preference for SQL and Python. Familiarity with large language models and More ❯

Execute software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to build solutions or break down technical problems. Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems. Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development. Gather, analyze, synthesize, and develop visualizations and More ❯

and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes More ❯

for customers. We are seeking a highly motivated individual to contribute to our digital future. You will work within the Sales, Inventory & Operations Planning Team to develop and apply algorithms to transform raw data into actionable insights. As the Data Analyst you will possess analytical skills, a structured approach to problem solving, and statistical knowledge. Our job is to work More ❯

Experience in market risk technology is a plus. • Experience with one or more major relational/object databases. • Experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts • Comfortable multi-tasking, managing multiple stakeholders and working as part of a team • Comfortable with working with multiple languages • Technologies: Scala, Java, Python, Spark More ❯

for customers. We are seeking a highly motivated individual to contribute to our digital future. You will work within the Sales, Inventory & Operations Planning Team to develop and apply algorithms to transform raw data into actionable insights. As the Data Analyst you will possess analytical skills, a structured approach to problem solving, and statistical knowledge. Our job is to work More ❯

Your future duties and responsibilities CGI's Secure Space Systems business is looking for a highly motivated Algorithmic Software Developer to lead the development and enhancement of advanced software algorithms for surveillance and tracking of activity in space. You will play a key role in implementing both speculative and mature software solutions within small projects and larger program streams. Read More ❯

to understand data needs and communicate report results. Remain up to date with the latest technology, techniques and methods. Stay curious and enthusiastic about exploring new risk modelling concepts, algorithms and data exploration methods to solve problems and enthuse others to see the benefit of your work. Essential Experience & Job Requirements Prior experience in financial risk management in a quantitative More ❯

of: Windows, macOS, Linux, iOS, or Android. Commitment to code correctness and quality assurance through static analysis, code review, automated testing, and continuous integration. Desirable Cryptography: Understanding of encryption algorithms and protocols for securing audio streams. USB Communication: Proficient in interfacing with a computer via USB. Knowledge of USB protocols and device drivers. Wireless Protocols: Understanding of Ultra-Wideband and More ❯

Academy, our bespoke learning platform Main Responsibilities Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. Insights and Reporting: Extract actionable insights from large, complex More ❯

in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication More ❯