1 to 25 of 136 Machine Learning Jobs in the Thames Valley

Scientist and help make a difference for small businesses! We contribute to innovative machine learning models for Pricing + Bundling and Generative AI projects. Collaborate with ML engineers to develop ML pipelines and ensure the quality and reliability of our ML solutions. What you'll get to do... Develop and implement sophisticated algorithms for Pricing and AI … projects using PyTorch. Craft and refine ML models to improve their performance, scalability, and adaptability. Analyze and interpret complicated data sets to advise model development and ensure accuracy and efficiency. Stay abreast of the latest developments in ML and artificial intelligence, integrating new methodologies and techniques as appropriate. Collaborate across multiple teams to integrate ML solutions within broader product and … platform initiatives. Contribute to the development of standardized processes for model evaluation, validation, and deployment to production environments. Drive the exploration and adoption of brand new ML technologies to maintain our competitive edge in the industry. Your experience should include... 4+ years of overall experience and 2+ years of experience in machine learning engineering or related roles. 3+ More ❯

in healthcare. They’re now looking for a Director of Machine Learning to join on an initial 6-month contract leading a talented team of around 20 ML engineers and data scientists. 📍 London | Hybrid (2 days/week onsite) 📅 Start: ASAP | ⏳ 6-month contract 💰 Outside IR35 - rate depending on experience The Opportunity Lead, coach and inspire a high … performing team of 20+ ML engineers, data scientists and applied researchers. Drive the ML strategy and roadmap, ensuring models are innovative, scalable and embedded at the core of the product. Partner with Product and Commercial leaders to align technical work with customer value and business outcomes. Push the boundaries of AI, NLP and machine learning applications. Solve complex … product challenges, working with API-first and headless architectures. Act as a thought leader, representing ML at exec level and guiding stakeholders on opportunities and trade-offs. About You Experience as a Director/Head of Machine Learning in a product-led tech company. Strong expertise in machine learning, NLP and applied AI. Proven success leading More ❯

in developing new index methodologies. 🧠 About the Role Scientific Beta is seeking a highly experienced and innovative Lead Expert in Natural Language Processing (NLP) and Machine Learning (ML) to spearhead the development of next-generation sustainability and financial metrics. This is a unique opportunity to leverage cutting-edge language models and insights at the intersection of empirical finance … driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. 📌 Key Responsibilities Lead the conceptualization, design, and implementation of NLP and ML models for extracting insights related to sustainability and financial performance from diverse textual sources. Develop and apply state-of-the-art language models to extract relevant information and integrate academic … financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

Machine Learning Engineer and Data Engineer Location: London Type: Full-time | Permanent | Office based Salary: up to £100,000 (ML Engineer) and up to £80,000 (Data Engineer) About Us We’re an early-stage startup on a mission to. As we scale, we’re looking for a Machine Learning Engineer and Data Engineer who are … products from the ground up, shape the future of our technology, and make a measurable impact. The Role You’ll play a key role in designing, building, and deploying ML models that power our core product. This isn’t just about research — it’s about turning ideas into features customers love. You’ll work closely with our founding team, own … as we grow. What You’ll Do Design, train, and deploy machine learning models to solve real-world problems. Collaborate with product and engineering teams to integrate ML into customer-facing features. Build scalable data pipelines and infrastructure to support model training and inference. Experiment with new algorithms and techniques, bringing the latest research into production. Monitor and More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does … not provide visa sponsorship. 🚀 What You'll Do As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: Developing, training, and validating state-of … critical in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of professional experience in Machine Learning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. Proven experience with computer vision and a More ❯

for pushing boundaries and delivering innovation across high-impact sectors. Your new role As a Machine Learning Engineer, you'll be instrumental in designing and validating novel ML models to optimise manufacturing processes and material compositions. You'll collaborate with cross-functional teams of engineers and scientists, contribute to the development of internal ML platforms, and help identify … What you'll need to succeed Essential Skills: * Bachelor's degree (2:1 or above) in science, engineering, mathematics, or computer science * Strong Python development skills * Practical experience with machine learning or deep learning in scientific/engineering contexts * Familiarity with MLOps tools and practices (Airflow, MLflow) and containerisation (e.g., Docker) * Passion for working with real-world … visualisation * Interest in material discovery, computer vision, big data, and optimisation techniques * Excellent communication and collaboration skills * Problem-solving mindset and self-motivation Desirable Skills: * Master's degree in machine learning, mathematics, or statistics * Understanding of probabilistic and Bayesian modelling * Knowledge of software design principles and object-oriented programming * Experience with cloud platforms (Azure, AWS, GCP) and infrastructure More ❯

As a Data Science Lead in Research Analytics, you'll drive analytics solutions that inform compound and antibody discovery for early drug platforms. You'll apply data science and machine learning to diverse datasets-imaging, gene expression, high-throughput screens, and sequencing (e.g., mRNA display)-to identify initial hits and establish early structure-activity relationships. Your work supports … with other biotech or technology companies. What you'll do Lead platform development of novel modalities such as peptides, impacting therapeutic projects with data-driven insights using analytics and machine learning on high-dimensional datasets conducted with complex biological assays (e.g. next-generation sequencing, cell-based assays, time-series assays, high-content assays, -omics assays, etc.). Clear … types, file formats, and common metadata used in biology, including high-dimensional experiments such as imaging, or high-throughput experiments such as peptide/biologics display. 8+ ofexperience with machine learning on large/high dimensional datasets including data manipulation, wrangling, and analytics. 8+ Experience with machine learning on chemical, sequence, and/or biological features. More ❯

A PhD level Machine Learning Scientist is needed to join this amazing research team based near King’s Cross. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play a key role in designing, implementing, and advancing … cutting-edge methods in: Reinforcement Learning (RL) Large Language Models (LLMs) Optimisation for Deep Learning You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. Experience Required: A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field … scale Optimisation for deep learning Good programming skills in Python and experience with deep learning frameworks A passion for advancing AI research and contributing to the global ML community Key selling points Work on cutting-edge AI challenges with a talented, multidisciplinary team Collaborate with leading academic and industry partners Access to high-performance computing resources Publish your More ❯

the opportunity to work with market leading business & retailers! They are looking for a Data Scientist to join their Data Science team! RESPONSIBILITIES: Work on designing and building advanced ML models - including propensity and clustering Apply machine learning, statistical, and econometric methods to a range of other customer data science problems Working closely within a team to understand … troubleshoot, and maintain machine learning models 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 the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven … communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest by sending your CV to Joseph Gregory via the Apply link on this page. KEYWORDS: Data Science, Machine Learning, Retailers, Pricing, Price optimisation, Demand Forecasting, Customer, cluster, propensity More ❯

role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. We are looking for … making Translate business requirements into technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines, and ETL processes Familiarity with … cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query More ❯

Machine Learning Engineer (Computer Vision) Department: Vicon Markerless Employment Type: Permanent - Full Time Location: Botley, Oxfordshire Reporting To: Timothy Smith Description Are you interested in working on products at the very cutting edge of technology? Want to join Vicon, an Academy Award-winning company, and the world's largest supplier of precision motion capture and tracking systems? Vicon … vision problems - such as object detection and human pose estimation - with the application of appropriate machine learning methods, such as CNNs and ViTs, in conjunction with non-ML algorithms. • Demonstrated experience using leading-edge methods for modelling human and object shape, appearance and movement. • Excellent team working abilities with positive, can-do attitude. • Examples of working with large … spatio-temporal datasets. • Experience with Python and ML toolkits, e.g. PyTorch, Lightning, etc. Desirable Skills • Relevant conference, journal, or other peer-reviewed output. • Experience delivering the full ML development lifecycle, taking systems from research prototypes through to development and production within a standalone application. • Experience with model quantisation and optimisation for deployment, e.g. on GPUs. • Experience, aptitude, and a desire More ❯

data? Join a fast-growing tech and software innovation company in the heart of London. We’re looking for a Data Scientist eager to apply advanced modelling, analytics, and machine learning to build cutting-edge software solutions that empower businesses, streamline operations, and unlock growth. 🔍 Your Responsibilities: Data exploration & modelling: Work with large, complex datasets to uncover insights … and build scalable predictive models. Machine learning development: Design, train, and deploy models for applications. Software integration: Collaborate with engineers to integrate data-driven models into live products and platforms. Tool & framework development: Build algorithms, APIs, and analytical tools that enhance product capabilities and improve user experience. Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly … STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus. Data visualisation: Proficiency in Tableau More ❯

processing. Responsibilities Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation. Deploy ML models into production, ensuring scalability, efficiency, and reliability. Collaborate closely with data scientists, software engineers, and product teams to translate business needs into technical solutions. Stay up to date with … in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or … with transformer-based vision models (ViT, CLIP, SAM). Familiarity with real-time inference and optimisation (ONNX, TensorRT). Previous work on video analytics, 3D vision, or multi-modal ML projects. More ❯

resilient in our efforts to drive long-term, sustainable innovation to meet humanity's most enduring challenges. We are looking to recruita Research Scientist with expertise in large-scale machine learning. In this role you will design, train, and evaluate advanced machine learning models to support scientific and technological progress across multiple fields Key Responsibilities: Lead significant … results through internal presentations and external publications, as applicable. Maintain high standards of code quality, reproducibility, and team collaboration practices. Qualifications & Experience: PhD or equivalent experience in Computer Science, Machine Learning, or a related discipline. Proven experience in designing and implementing large … scale machine learning systems, including aspects of model training, finetuning, data management, and distributed computing. A record of publications or patents in the field of AI/ML or related areas. Experience in project leadership and mentoring junior team members. Excellent communication skills and the ability to solve complex problems efficiently. Terms of Appointment: You must have the More ❯

us in our commitment to uniting science, technology, and talent to get ahead of disease together. Position Summary At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes … at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI. We’re looking for a highly skilled Backend Engineer to help us make this vision a reality. The ideal candidate will have a track record of shipping data … of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration tooling (e.g. Airflow or Google Workflows). Experience with AI/ML powered applications. Experience with Docker or containerized applications. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special More ❯

voice across all technical content, ensuring it aligns with the Ultralytics brand. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models to the community. 🛠️ Skills and Experience 5+ years of experience in technical writing, preferably for a developer audience in the AI or software industry. … on experience with static site generators like MkDocs or Sphinx. Basic proficiency in Python to understand and document code examples and APIs. A strong interest in or experience with machine learning, computer vision, and object detection models like YOLO. Experience documenting APIs, SDKs, and other developer tools. Knowledge of SEO principles and how to apply them to technical … 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 ❯

Lead Machine Learning Engineer Up to £100,000 Company: They are an AI-driven climate risk analytics platform that partners with businesses within Insurance … Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change. Responsibilities: Lead, mentor, and grow a high-performing team of ML engineers. Combine ML with physics-based risk models (flooding, tropical cyclones, wildfires) to deliver grounded, high-impact solutions. Establish gold-standard practices for evaluation, deployment, observability, and maintainability in ML More ❯

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

make this vision a reality. The ideal candidate will have a track record of writing and shipping quality, well-documented and well-tested software – preferably in the AI/ML industry. This person should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms to large user populations. Educational or professional background in … a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to … work. Our leaders will be committed to your career and development from day one. Key Responsibilities Back end development for a Python web application. Integration of AI/ML components with frontend, backend, data and compute infrastructure. Responsible for high quality software implementations according to best practices, including automated test suites and documentation. Develop, measure, and monitor key metrics for More ❯

of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology. Experience of working with subsurface datasets (e.g., wireline, seismic, biostratigraphy). Strong python programming skills and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Excellent communication and teamwork skills in a collaborative R&D environment. AI/ML Implementation: Design and implement AI/ML algorithms to … automate and enhance geological interpretation. Develop AI/ML algorithms to improve geological realism in subsurface models. Validate predictive models using blind test datasets and real-world scenarios. Collaboration & Innovation Work closely with colleagues from multiple disciplines to refine and enhance workflows. Stay current with AI/ML and geoscience advancements to drive innovation. Contribute to publications, patents, and technical … presentations. Desirable Experience PhD in geoscience. Proven application of AI/ML in geoscience projects. Experience with the energy sector. Familiarity with geological process modelling. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status More ❯

Data Scientist, you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … adherence to data privacy regulations. Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Proven experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages More ❯

Data Scientist, you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … adherence to data privacy regulations. Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Proven experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages More ❯

a reality. The ideal person for this role will have a track record of writing and shipping quality, well-documented and well-tested software – preferably in the AI/ML industry. They should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms to large user populations. Educational or professional background in the … a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to … your career and development from day one. Key Responsibilities Front end implementation for a React application. Visualizing and interacting with scientific data and workflow progression. Integration of AI/ML components with frontend, backend, data and compute infrastructure. Responsible for high quality software implementations according to best practices, including automated test suites and documentation. Develop, measure, and monitor key metrics More ❯

help brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of … solutions for complex client challenges, defining clear success criteria. Support and mentor junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research … statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant More ❯