26 to 50 of 238 Machine Learning Jobs in the Thames Valley

independently, and bring proven expertise in developing and improving analytical workflows. Working closely with the Mirico team, you will help drive the next stage of our gas-modelling and ML capability , validate and enhance existing algorithms, and translate advanced analytics into actionable insights for customers via the Mirico Insights cloud platform. Job Description and Responsibilities Analyse and interpret greenhouse gas … emissions data from Mirico field deployments Contribute to the development and enhancement of key analytics pipelines, including: Detection of emission events (signal processing, anomaly detection, ML classification) Gas modelling for source localisation and quantification Total site quantification of emissions Research and apply machine learning and AI methods to complement physics-based models, improve detection sensitivity, and automate performance … machine learning, AI-driven pattern recognition , or anomaly detection in environmental or sensor data Experience in atmospheric dispersion, Gaussian plume , or advection–diffusion modelling Knowledge of probabilistic ML or hybrid modelling (combining physics and data-driven approaches) Familiarity with Bayesian inference, MCMC , or probabilistic programming frameworks (e.g., PyMC, Stan, or TensorFlow Probability) Operating data science/ML workloads More ❯

independently, and bring proven expertise in developing and improving analytical workflows. Working closely with the Mirico team, you will help drive the next stage of our gas-modelling and ML capability , validate and enhance existing algorithms, and translate advanced analytics into actionable insights for customers via the Mirico Insights cloud platform. Job Description and Responsibilities Analyse and interpret greenhouse gas … emissions data from Mirico field deployments Contribute to the development and enhancement of key analytics pipelines, including: Detection of emission events (signal processing, anomaly detection, ML classification) Gas modelling for source localisation and quantification Total site quantification of emissions Research and apply machine learning and AI methods to complement physics-based models, improve detection sensitivity, and automate performance … machine learning, AI-driven pattern recognition , or anomaly detection in environmental or sensor data Experience in atmospheric dispersion, Gaussian plume , or advection–diffusion modelling Knowledge of probabilistic ML or hybrid modelling (combining physics and data-driven approaches) Familiarity with Bayesian inference, MCMC , or probabilistic programming frameworks (e.g., PyMC, Stan, or TensorFlow Probability) Operating data science/ML workloads 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 ❯

O ffice Based 5 Days Monday Friday Key skills: C omputer Science or A.I qualification or similar, Ideally Python, Machine Learning Concepts, Communication and Evaluation Skills. My Client is the rapidly growing European subsidiary of a global Film company who specialise in lighting, rigging, generators, etc. The also own film studies as well as facilitate studios for other … solutions to support operations. You will have the opportunity to gain comprehensive, hands-on experience in multiple areas of a multilocation, commercial business. This role will offer an insightful learning experience in a dynamic and fast-paced work environment. with exposure to real-world applications requiring artificial intelligence and automation. You will work closely with the IT department and … AI deployments. Produce technical documentation, including usage guides and risk assessment templates. Present findings and recommendations to stakeholders through structured viability reports. Recognise personal development needs and proactively seek learning opportunities to support growth in AI and automation. You Will Need To: Currently pursuing or recently completed a qualification in Computer Science, Artificial Intelligence, or a related field Exposure More ❯

winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Company Highlights: Quantiphi, a Services & AI Platforms company, has seen 2.5x growth … year award Winner of the 17X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner Winner of 3X AWS AI/ML Partner of the Year award Preferred and Premier Partner of AWS, Google, NVIDIA, Snowflake, MS Azure Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and … Changing Ideas- AI and Data category Winner of 2021 AWS Canada Rising Star of the Year Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! Roles and Responsibilities: Design and develop complete end-to-end enterprise-wide big data solutions Create integration and application technical design More ❯

site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90–120k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg, Google, AWS, and WhatsApp (Meta). We are backed by prominent investors from … US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of a web-based application for Machine Learning workloads. We put strong emphasis on user experience, aesthetics and pixel-perfect design. You will be working closely with the Machine Learning team to understand … the underlying concepts and user flows; however, you are not required or expected to have background in Machine Learning. This is a senior-level role, and we are looking to hire a software engineer with background in product design, UI/UX design, and with a strong sense of aesthetics. Portfolio We would love to see your recent frontend More ❯

be themselves. Position Overview: You will join the Entrust Applied Science team as a research intern. The team consists of 20+ Applied Scientists located in London, UK. We develop machine learning and computer vision models for the Onfido product lines, in particular fraud detection and data extraction on government IDs and biometrics data. You will work together with … a team of scientist who will coach and train you during your internship. We use state-of-the-art technology (deep learning, VLMs), own a large proprietary dataset of images and videos and use a multi-GPU cluster. We use standard frameworks (python, pytorch, tensorflow, dask, AWS). We impact production directly but also the machine learning … and train models on state-of-the-art GPUs Your work will impact products used by dozens of millions of users worldwide You will be mentored by a senior machine learning scientist to make sure you are successful in your mission You will have the opportunity to publish and open-source your work You will be part of More ❯

Specialist, joining a market-leading disruptive software technology firm in London. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house. This is an ideal time to join this growing organisation and be guided by some of the brightest minds in this field. On a daily … basis, you will be working closely with the sales team to deliver Proof of Concepts and assist with live customer projects for a machine learning platform. Location: Central London– 3 days in office/2 days remote Salary: Negotiable + bonus + healthcare, pension etc. Requirements for Product Specialist – Spanish-speaking - Graduate Level A minimum of a 2.1 … What this offers Working for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates An exciting opportunity supporting projects on a machine learning platform A good remuneration and benefits package Applications If you have top academics and would like to apply, we would love to hear from you. Please ensure More ❯

Senior Software Engineer (Python) – Reducing Carbon Emissions with Machine Learning! Python on AWS £90-£110,000 per annum plus stock London Office - 1-2 days a week Are you a Senior Software Engineer with a passion for working with curious, humble colleagues to build exceptional customer-focused products using Python? Do you align with their principles – “Work as … working with one of the UKs most exciting scale-ups to find them Senior Software Engineers with exceptional knowledge of building great products in Python on AWS. They use machine learning technology to help tackle climate change by reducing carbon emissions. They are at a critical period in their journey and will be growing their engineering function from … growth to take their fantastic products to even more customers. Please reply with your CV or call Simon for an informal chat. Senior Software Engineer – Reducing Carbon Emissions with Machine Learning! Python on AWS £110,000 per annum plus stock London office - 1-2 days a week More ❯

for a Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business outcomes. This role is ideal for someone who thrives in client-facing environments, enjoys shaping data science solutions from idea to implementation … alpha , and beta phases. Act as a trusted advisor to clients – helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide … within multi-disciplinary teams – often embedded onsite with clients . Drive delivery outcomes with a self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience – able to engage clients, manage ambiguity, and deliver More ❯

Lead ML Engineer - Onsite 5 days a week - London Happy to look at European relocators An Edtech Start-up in London are building something transformative in the education space using cutting-edge machine learning. We're looking for a Lead ML Engineer to take ownership of the machine learning strategy, build out the team, and help shape … the future of AI in education. Responsibilities: Build and lead a new ML team from the ground up. Define the tech stack for data pipelines and ML models. Develop generative models using diverse datasets (text, audio, video, test results). Design and deploy data integration and analysis pipelines. Collaborate with engineers and product managers to bring ML features to life. … accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. Strategic thinking around architecture and trade-offs. If interested please get in touch ASAP More ❯

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … leaders will be committed to your career and development from day one. Key Responsibilities Backend development of generative AI evaluations 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. Participate in code reviews, continuously improving … and product. Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience 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. 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. 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, national origin, or any other status protected More ❯

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … and implement key safety metrics for generative AI (and in particular language) applications. Perform user research to understand the application’s risks and failure modes. Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices and expected to participate in code reviews. Liaise with other technical staff … and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data More ❯

Role: Senior AI/ML Scientist – Personalization & GenAI (Dubai based) Join a high-performing Data Science team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you’ll help define the future … strategies powered by data and AI. Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements. Design and deploy data/ML instrumentation to extract insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning … across cross-functional teams. Define, implement, and monitor key performance metrics for AI-driven product features. Stay up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master More ❯

manage large datasets used for training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best practices for data management, including versioning, security … a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving … skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage and processing solutions. Passion for contributing to the development of More ❯

Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product … embeddings and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. REQURIED … learning, particularly in recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining More ❯

non-technical stakeholders Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus … a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building and deploying APIs More ❯

Software Engineer (React and Python) About the Opportunity You will be joining an elite founding engineering team that includes the world’s number one authority in Multi Agent Reinforcement Learning, seasoned Meta Product leaders, and one of the only people in the UK who has trained a trillion token language model from scratch. This role is based in London … pivotal role in shaping and scaling the technology platform from the ground up. You will work alongside leading researchers and product strategists at the intersection of cutting edge reinforcement learning and large scale foundational models. You will enjoy a rare opportunity to influence direction, architecture and go to market execution, with both immediate impact and long term upside via … strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration • Drive end to end ownership from ideation to More ❯

to help with the development of a cutting-edge consumer facing app designed to change the physical in-store shopping experience. You’ll collaborate closely with our team of ML & backend engineers and product to deliver a mobile experience that feels fast, personalised, and deeply responsive to user context. Responsibilities: Architect and implement Android features that include: Real-time & bi … offline-first UX flows using prefetching, caching, and background sync Profile, optimise, and tune the app for low latency, efficient memory usage, and battery performance Work closely with AI & ML team members to build context-driven user experiences Help define and evolve a robust mobile architecture using modern patterns Work closely with design & product to ship polished, scalable user interactions … Essential Qualifications: Experience with real-time protocols (eg. WebSockets gRPC, MQTT, SSE or similar) Experience with implementing on-device machine learning (eg. PyTorch Mobile, ML Kit, TensorFlow Lite) Strong understanding of Android performance: lifecycle, coroutines, memory, and threading Familiarity with edge-friendly architecture: offline-first, sync queues, reactive flows Comfort working in fast-paced, zero-legacy, product-driven More ❯

I’m working with a top AI firm hiring Senior Software Engineers into their R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Machine Learning Engineer – Robotics 🌍 Location: London (onsite) 💸 Package: Negotiable … + stock options What you’ll be doing Training policies via representation learning, behaviour cloning & RL from data to deployment. Building pipelines that fuse vision, language, audio, proprioception & 3D data. Scaling distributed training + optimising models for real-time edge inference. Helping shape how intelligent systems learn and act in the real world. What we’re looking for 3+ … years developing deep learning systems with shipped models or published research. Hands-on with Vision Language Models, LLMs or generative models. Strong Python + PyTorch/JAX skills (debugging, profiling, shipping). Passion for bridging the gap between simulation and reality. This is one of the most exciting and technically challenging roles I’ve see with the chance to More ❯

Data QA Engineer We are seeking a QA Engineer with a strong background in data and analytics to help ensure the accuracy and reliability of both data pipelines and machine learning models . This role combines hands-on testing, automation, and close collaboration with engineering and data teams. About the Role You’ll take ownership of quality assurance … you’ll have a strong understanding of SQL to verify data consistency and accuracy. You’ll support with automated QA solutions for data pipelines and testing the outputs of ML models. Responsibilities Design, develop, and execute comprehensive test plans and test cases for data pipelines and ML models. Implement and maintain automated testing frameworks for data and ML quality assurance … For 2+ years’ experience in QA, with a focus on data-driven products . Strong SQL skills and proficiency in Python . Understanding of data warehousing concepts. Familiarity with machine learning methodologies. Ability to collaborate with cross-functional teams. The role is hybrid with travel to the london office. If you have the desired skills and experience and More ❯

About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with data science and machine learning. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance. They’re now hiring a Lead/Principal … Data Scientist to lead machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to commercial outcomes. This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at … problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Act as a technical lead within project teams More ❯

concurrency. Familiarity with the OpenAPI specification and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training … only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us, you’ll be able to help advance the … techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI. Grow with us! If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important More ❯

You’ll collaborate with cross-functional teams to design, build, and implement data science solutions that directly feed into core product offerings. This is an exciting opportunity to apply ML and statistical techniques to real-world problems, while also developing in areas such as software engineering, data pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify … opportunities for ML and data science integration Build and maintain data pipelines to support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques to reach accurate conclusions Work with data engineers to ensure clean, usable datasets Contribute … research new methods, and continually build your technical capability What We’re Looking For Proficiency in Python or similar languages for scripting and model building Hands-on experience with machine learning, model deployment, and performance evaluation Strong communication skills – able to simplify complex ideas for various audiences Awareness of Agile methodologies and collaborative software development practices A self More ❯