26 to 50 of 136 Machine Learning Jobs in the Thames Valley

collaboration, innovation, and the impact of data-driven decision-making on a global scale. Key Responsibilities: Analyse large datasets to identify trends and generate actionable insights. Develop and optimise machine learning models to address business challenges. Collaborate with data engineering teams to ensure data quality and efficiency. Present findings to both technical and non-technical audiences. Mentor junior … Statistics, Mathematics, or a related field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and experiment design. Strong problem-solving and communication skills. Spectrum IT Recruitment (South) Limited is acting as an More ❯

Technical Support Engineer/Graduate IT Engineer 35-38k, Trainee. SaaS, Cloud, NLP, AI, Machine Learning, Data Science, Python, MATLAB, Software Development Tools, Technical Support, Client facing, Computer Science, STEM, Mathematics, Physics, Natural Science, Electronic Engineering Graduate, who want to work with awesome Technologies such as, AI, Machine2Machine Learning, Cloud Applications, Unified Communications, Software Solutions IT … going basis. Must have excellent client facing, problem solving skills, and solid attention to detail. Salary 37-38k. (Training in Software Development, AI technologies, IOT, Contact Centre application, Machine Learning, SaaS, Cloud Applications), and more. Very Much of a Customer facing CX ROLE. Our clients take pride in their core beliefs of teamwork, quality and agility. Time … Technical Support Engineer/Graduate Software Developer 2:1 Bachelors Degree in Computer Science/STEM/Mathematics/Physics/Chemistry/Electronic/Electrical Engineering, Natural Science, Learning and Developing their skills, (Life learner attitude) Experience communicating technical information to a variety of technical and non-technical people Experience or knowledge of database query language (i.e. SQL More ❯

computational chemists to understand their challenges and translate complex scientific requirements into clear, actionable product plans. Drive Execution: Lead a cross-functional team of world-class cheminformaticians, AI/ML scientists, and engineers to deliver high-impact tools, from synthesis-aware generative models to advanced physics-based simulations. Industrialize Discovery: Be a key driver in our push for industrialization. You … years (Staff) of product management experience, with a proven track record of launching and iterating on complex, technical products. Deep experience with products that have a significant AI/ML or data science component. You are comfortable with the nuances of building, deploying, and improving machine learning systems. A demonstrated ability to apply customer-centric product principles, whether … its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up More ❯

a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate modelling requirements … Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations … contribute to cross-functional discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some exposure to .NET-based systems or application integration. Follow our company page, OTA More ❯

on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime … and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business … effectively in a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

advanced technology solutions, working with clients across banking, finance, IT, government, retail, and beyond. As a Graduate Business Development Manager , you will sell innovative solutions within SaaS, Cloud, AI, Machine Learning, IT Security, Managed Services, IOT, Project Applications, Unified Communications, NLP, Data, and UcaaS. This is not a transactional sales role, it requires a consultative, entrepreneurial mindset , the More ❯

of their in-house data science capabilities. This is a newly created role where you'll shape the future of how the team integrates advanced analytics, diverse datasets, and machine learning into high-impact client projects across sectors such as media, tech, and entertainment. You’ll be joining a collaborative, supportive environment with around 60 consultants, strategists, and … MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic data and machine learning Collaborating with marketing to shape new, data-led propositions Upskilling team members in data science and statistical thinking Representing the agency externally in thought-leadership or event … as 1st-party or behavioural data Ability to explain technical findings clearly to non-technical audiences An innovative and proactive mindset with a love of new ideas, tools, and learning Nice to Have Experience establishing data science workflows in a commercial setting A track record of upskilling or training others in data/statistics A desire to contribute to More ❯

Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate Develop and test robust portfolio construction, execution, and risk management models Collaborate closely with data engineering and infrastructure teams to enhance research platform capabilities Take … trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics More ❯

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of headcount growth this year to over 1000 which includes a … increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over the last few years, with AUM and headcount growing. Despite their larger size, their structure remains collaborative and not solely … shop based, a rare find for an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to More ❯

with advanced AI technologies to create impactful data driven applications. Responsibilities Partner with enterprise clients to understand requirements and design tailored AI and data science solutions Apply statistical modelling, machine learning, and programming expertise to solve complex problems Explore and implement modern AI technologies including large language models, retrieval augmented generation, and advanced automation tools Deliver production ready … technical approaches into clear business outcomes Stay up to date with rapidly evolving AI tools and actively incorporate them into solution design Requirements Strong background in data science and machine learning with solid understanding of statistics and programming Exposure to MLOps and experience deploying models into production environments Interest and practical experience in using emerging AI technologies such … and flexible work environment with a comprehensive benefits package including: 25 days of annual leave plus bank holidays Share options and pension scheme Health and dental insurance options Professional learning and development budget Cycle to work scheme and technology allowance Referral bonus scheme Opportunities to work abroad for limited periods Regular team socials and office perks More ❯

of email marketing metrics, A/B testing methodologies, and data-driven optimization. Exceptional writing and editing skills, with a talent for making complex topics like computer vision and machine learning accessible and exciting. A genuine interest in artificial intelligence and a desire to learn about our models, such as YOLOv8 and YOLO11. Excellent problem-solving skills and … projects. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

of email marketing metrics, A/B testing methodologies, and data-driven optimization. Exceptional writing and editing skills, with a talent for making complex topics like computer vision and machine learning accessible and exciting. A genuine interest in artificial intelligence and a desire to learn about our models, such as YOLOv8 and YOLO11. Excellent problem-solving skills and … projects. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

s possible in object detection, segmentation, and other core computer vision tasks. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of hands-on experience in Computer Vision and Deep Learning. Expert-level proficiency in … HUB. Gear: Brand-new Apple MacBook and Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

Platform Engineering Lead – London An AI-first organisation is applying frontier machine learning to help unlock deeper scientific insights, accelerate breakthroughs, and bring life-changing medicines to patients faster. Their mission is ambitious: to transform drug discovery and, ultimately, solve all disease. This is a rare opportunity to join an interdisciplinary team at the cutting edge of AI … the Head of Engineering to set long-term technical strategy Mentor team members and foster engineering best practices What We’re Looking For Essential: Proven track record building complex, ML-focused platforms Strong proficiency in Python Experience leading cross-team engineering efforts or overseeing multiple teams Ability to manage ambiguity and drive clarity across projects Comfortable integrating open-source and … third-party software Experience working closely with machine learning teams Nice to Have: Background in biotech, pharma, or AI-driven drug discovery Experience in both large organisations (with structured processes and metrics) and smaller/startup environments (delivering with limited resources) Knowledge of observability and reliability practices for product platforms Security or compliance experience Why Join? Be part More ❯

Job Title: Contract Deep Learning Engineer Location: London (Hybrid or On-site) Contract Type: 6–12 months (with potential extension) About the Role: We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world … computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model performance, and iterate based on results. Maintain … to knowledge sharing across the team. Stay up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience More ❯

We are looking for an excellent ML Ops Engineer to join our research and development team. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers data acquisition pipelines, data management and ML model … and on-prem HW). We use both on-prem, self-managed systems and also leverage AWS infrastructure. You will have opportunities to guide the technical direction of the ML Ops team, suggest new areas of development and the potential to lead your own project. Required Skills, Knowledge and Expertise You will have relevant academic (research Masters level) and/… systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to design and implement MLOps solutions covering many More ❯

Assess the practicality and relevance of modern technologies such as machine learning, big data analytics, generative AI, multi-agent systems, and quantum computing in insurance and risk consulting. Work with diverse teams to pinpoint challenges in the industry and devise innovative solutions using these technologies. Examine intricate data sets to offer insights that aid in the strategic decision … business growth by engaging in client meetings, presentations, and proposals, highlighting the advantages and functionality of our technological offerings. Required Skills: Skilled in various modelling methods such as active learning, transfer learning, agent-based modelling, optimization, Bayesian inference, entity extraction/resolution, and spatio-temporal modelling. Proficient in developing models from fundamental principles and selecting modelling techniques without More ❯

STEM/Mathematics/Support/London/Software/SaaS/Analyst/Analytical/Technical Support/Computer Science/Analyst/AI/Artificial Intelligence/ML/Machine Learning/Tech/Technology Are you a French-speaking, recent STEM graduate looking for a long-term career opportunity? Do you love technology? We might More ❯

Learning, or a related field. 6-8 years of professional, hands-on experience in software engineering, with a primary focus on building and deploying complex AI/ML systems into production. A proven track record of delivering scalable, reliable, and high-performance software solutions from concept to deployment. More ❯

building the world’s first brain foundation models — large-scale AI systems designed to deeply understand, protect, and enhance the human brain. By generating our own data, developing novel machine learning approaches, and working closely with world-leading neuroscientists, the company aims to accelerate discoveries that transform how neurological diseases are treated and prevented. This is a rare … real-world insights from raw biological data. Key Responsibilities Design and implement distributed data pipelines for multi-omic, neuroscience, and clinical datasets Build a unified feature store to serve ML training and downstream biological analysis Develop scalable storage, ingestion, and validation systems with a focus on robustness, observability, and versioning Collaborate with ML researchers and biologists to translate raw data … Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production environments Bioinformatics or biological data exposure (preferred, not required) — willingness to learn is essential Excellent communication skills and ability to collaborate More ❯

communication presentation and stakeholder management skills Strong analytical thinking and complex problemsolving capabilities Good to have Qualifications Genesys Certified Professional GCP or Genesys Certified Expert GCE Experience with AI machine learning Copilot and customer experience analytics Familiarity with AgileScrum methodologies Experience in global contact center implementations and largescale deployments More ❯

get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Configuration & deployment tools (Ansible) Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working – London or Manchester hub Private healthcare & pension Career development pathways in a consulting-style environment Opportunities to contribute More ❯

prototypes and POCs showcasing the value of new ideas, integrating AI with front-end and back-end systems. AI & Machine Learning Implementation: Design and deploy AI/ML models to extract insights from energy data and enhance customer experience. Full-Stack Development: Architect end-to-end solutions, ensuring seamless integration and optimal performance across the tech stack. Technical More ❯

relationships with clients and internal stakeholders to deliver integrated, value-driven solutions. Mentor and develop consulting teams and our future leaders, modelling transformational leadership and a commitment to continuous learning and growth. Maintain full accountability for outcomes, including financial targets, client impact, and the ongoing development of DT’s capabilities and reputation in the market. You will thrive in … or global capability centre environment. Expertise in building and maintaining automated data pipelines and scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client More ❯

in leadership or leading a small team of software developers and quality assurance engineers Desirable Attributes: Knowledge of Eclipse RCP and Eclipse OSGi Swing and SWT experience Understanding of Machine Learning technologies (Python, TensorFlow etc.) Experience in Geophysics and/or Geology domain especially Oil and Gas Undergraduate degree in Software Engineering, Computer Science or equivalent Agile Scrum More ❯