1 to 25 of 613 Machine Learning Jobs in Berkshire

Job Title: Low-Level C++ Engineer (GPU & ML Optimization) Location: London, UK About the Client: We are partnering with an exciting, disruptive technology company at the forefront of machine learning (ML) and high-performance GPU computing. This innovative firm is leveraging cutting-edge GPU technology to optimize machine … learning algorithms and computational models, powering the next wave of AI and data-driven applications. Their mission is to drive performance optimization in ML and AI workloads, transforming industries such as autonomous vehicles, healthcare, and immersive gaming experiences. This is a fantastic opportunity for someone passionate about low-level … systems programming and ML optimization to be part of a team that is reshaping the future of technology. The Role: We are seeking a Low-Level C++ Engineer to join their team and work directly on optimizing GPU performance for machine learning (ML) workloads. As part of the More ❯

to help take cutting-edge approaches and turn them into performant and robust solutions for our customers' problems. Your responsibilities include: Creating AI/ML solutions for signal processing, geospatial data modelling, image processing and high-fidelity simulations of physical systems. Collaborating with colleagues across the team (Product Managers, Machine Learning Scientists, Machine Learning Software Engineers). Maintaining a good working knowledge of state-of-the-art ML methods, software tools, and implementation methods. Working closely with platform-engineers to provide ideas and advice on ML techniques. Evaluating scientific concepts for viability of implementation. Ensuring scientific … delivery process. Writing maintainable production-code and promoting best practices for code quality. Attending client meetings as required. Delivering training to customers on core ML concepts and Mind Foundry products and solutions. Attending appropriate scientific conferences and events. Mentoring colleagues in research or Machine Learning/Data Science. More ❯

Machine Learning Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) Machine Learning Engineer:- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning techniques. My client is revolutionising their industry with a track record of building things that others have ruled out as impossible. The Machine Learning Engineer will join a very bright, talented team of engineers with the guidance of technologists who have help build up some … Learning Engineer : 2yrs+ in a commercial Machine Learning role Solid experience of Java and Python A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Familiarity with cloud platforms (AWS) and Kubernetes for deploying A degree in Computer Science, Engineering, or a More ❯

creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, bandits, causal inference, optimization, ranking and recommendation. AI - Our AI teams are spearheading the research and development, presenting innovations at … As a Principal Machine Learning Engineer in the ShareChat AI team, you will play a pivotal role in defining and executing the ML strategy across key business domains. You will serve as one of the senior-most individual contributors in machine learning, with opportunities to lead … and deploying large-scale machine learning models using TensorFlow, PyTorch, or similar frameworks. Systems Thinking: Deep experience in designing, managing, and productionizing ML pipelines, handling end-to-end machine learning systems, including data engineering, model training, and real-time inference. Domain Mastery: Specialization in large-scale More ❯

Machine Learning Engineer – SaaS - London (Tech stack: Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have several exciting new positions available for Machine Learning Engineers to join a forward-thinking AI company. This is your opportunity to collaborate with top talent in the field of artificial intelligence. Their latest AI … are reshaping the landscape of AI, offering innovative models that exceed current industry benchmarks. Come aboard our team and help shape the future of machine learning and AI. Our client is looking for passionate Machine Learning Engineer candidates with experience in some or all of the More ❯

Machine Learning Researcher/Deep Learning/World Leader Machine Learning Researcher required in London or Cambridge area to join a world leading organisation with a highly reputable Machine Learning/Deep Learning team. You will have come from an exceptional academic … background and be well published in Machine Learning and Deep Learning research looking to work on the forefront of what is possible in AI/Machine Learning Research. Any exposure in Reinforcement Learning , LLM's are all beneficial as well as any exposure to … and semiconductors market. What's most important is someone with a real mind and determination for achieving something that's never been done before. Machine Learning Researcher/Deep Learning/World Leader More ❯

Learning Engineer | £50-70K | Hybrid (London) Our growing team is seeking an experienced Machine Learning Engineer to develop and deploy ML solutions that power our products. The Role: As a Machine Learning Engineer, you'll be responsible for designing, building, and deploying machine learning models and systems in production. You'll work at the intersection of data science and software engineering, translating ML algorithms into scalable production systems on AWS. Key Responsibilities: Design, develop, and deploy machine learning models into production Build scalable ML pipelines and infrastructure on AWS … Implement and optimize LLM-based solutions Collaborate with data scientists and software engineers to productionize ML models Ensure ML systems meet performance, reliability, and scalability requirements Contribute to continuous improvement of ML practices and infrastructure Requirements: 2-3 years of experience in machine learning engineering or related roles More ❯

partners to develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics … to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex … analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Contribute data science expertise to new sales activities. Shape DS Strategy and the delivery of DS solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets More ❯

Machine Learning Engineer - Health Tech Start Up We are seeking a talented and experienced Machine Learning Engineer to join a a rapidly expanding health-tech start-up, who are revolutionary within their field right now. As a Machine Learning Engineer, you will play a … in architecting, building, testing, and delivering a new and improved running engine that generates adaptive training plans for tens of thousands of active users. Machine Learning Engineer Skills: 3+ years experience in a similar role Demonstrable experience in cloud (ideally AWS) Strong Python Programming A deep understanding of … designing and implementing complex algorithms, data science and machine learning Confident in working in a fast paced environment and looking to take ownership over features Machine Learning Engineer Benefits: Flexible working Private health insurance Regular salary reviews Pension scheme Brand new Macbook, a running watch of More ❯

projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR, or Nature). Skilled in ML development: They write robust, maintainable ML code, have proficiency in version control and code review systems, and are capable of producing high-quality prototypes and … They have experience running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess … in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model training, inference speed, and validation metrics performance. Mission-driven and curious: Motivated by the opportunity to make a positive global impact, they approach problems with relentless curiosity and adaptability. Adaptability in dynamic environments: They thrive in fast More ❯

a unique blend of deep technical expertise, strategic thinking, and financial domain knowledge. Key Responsibilities Lead the architectural design and implementation of AI/ML systems for quantitative trading and investment research Develop and maintain sophisticated machine learning models for predictive analytics, market forecasting, and trading strategy optimization … or Master's degree in Computer Science, Machine Learning, Statistics, or a related quantitative field 7+ years of experience in AI/ML development, with at least 3 years in a leadership role Extensive experience in building production-grade machine learning systems Strong programming skills in … Python, with expertise in ML frameworks such as TensorFlow, PyTorch, and scikit-learn Proven track record of developing predictive models for financial applications Deep understanding of machine learning algorithms, statistical modeling, and data processing techniques Experience with cloud computing platforms (AWS, GCP, Azure) Excellent understanding of distributed computing More ❯

Specialists, and we’re hoping it’s you! In this role, you’ll play a leading role in helping both customers with their ML validation challenges and in helping drive our product forward with insights on how to build the best validation solutions for high-stakes machine vision … problems. The specific focus of this position is on ML-based computer vision in high-stakes applications in Aviation, Mobility, Robotics and Edge Devices. The role has significant customer & user-facing elements working on real world problems to help ML teams (R&D and Product within other organizations) improve the … and others. Additional beneficial experience includes: Familiarity with best practice in Machine Learning workflows and MLOps tools. Technical experience in developing non-ML solutions in the Aviation, Mobility, Edge Devices, and/or Robotics industries. At a personal level we’re also looking for some who is: Passionate More ❯

Research Machine Learning Engineer - World Leading Team - Cambridge/London A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to work on some of the most complex and exciting … problems in machine learning - driving cutting-edge innovation with real-world impact. What they’re looking for: Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals. Deep expertise in machine learning algorithm development … essential, and they’re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Reinforcement learning Large Language Models (LLMs) Optimisation methods Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid remote More ❯

Research Machine Learning Engineer - World Leading Team - Cambridge/London A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to work on some of the most complex and exciting … problems in machine learning - driving cutting-edge innovation with real-world impact. What they’re looking for: Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals. Deep expertise in machine learning algorithm development … essential, and they’re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Reinforcement learning Large Language Models (LLMs) Optimisation methods Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid remote More ❯

Machine Learning Engineer – London – Exciting Early-Stage Start-Up Are you looking for you next Machine Learning Engineering role? Do you want to be a part of an exciting and hard-working team? This may be the position for you! This Machine Learning Engineer … a small and high performing team as well as the capability to work well independently. You should be driven to design and build elite machine learning and computer vision software solutions. Ideally you should have: A solid academic background, preferably from a leading University with high grades in … Computer Science or a STEM subject 2+ years commercial experience as a Machine Learning Engineer Motivated about joining an early-stage start-up Excellent communication and collaboration abilities Familiarity with modern frameworks and languages (e.g., React, Vue, Golang, iOS, Android) is a plus, but not required What you More ❯

Senior Machine Learning Engineer Up to £100,000 London (Fully Remote) Company: Join an innovative, fast-paced crypto start-up at the forefront of cutting-edge technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. As … a Senior Machine Learning Engineer, you’ll be at the forefront of innovation, developing and implementing machine learning models to optimize the platform’s performance. You’ll work with a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth. Responsibilities: Develop … and deploy machine learning models to enhance the analytics platform. Collaborate with cross-functional teams to define and implement AI-driven solutions. Work on innovative, data-driven projects within the crypto space. Stay up to date with the latest trends in machine learning and crypto technologies. More ❯

Senior Machine Learning Engineer Up to £100,000 London (Fully Remote) Company: Join an innovative, fast-paced crypto start-up at the forefront of cutting-edge technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. As … a Senior Machine Learning Engineer, you’ll be at the forefront of innovation, developing and implementing machine learning models to optimize the platform’s performance. You’ll work with a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth. Responsibilities: Develop … and deploy machine learning models to enhance the analytics platform. Collaborate with cross-functional teams to define and implement AI-driven solutions. Work on innovative, data-driven projects within the crypto space. Stay up to date with the latest trends in machine learning and crypto technologies. More ❯

creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, bandits, causal inference, optimization, ranking and recommendation. AI - Our AI teams are spearheading the research and development, presenting innovations at … about our culture, innovation and growth. Click here. What You’ll Do? Within the Sharechat AI team, we are looking for an experienced Staff ML engineer to lead the ML efforts around improving personalization models, leading efforts across 10+ MLEs and decision scientists working on feed ranking and candidate generation … In this role you will help us further improve our recommendation systems, and act as a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress More ❯

Senior Machine Learning Engineer London (Hybrid) Very Competitive Salary, Bonus, Equity Our client, an innovative and rapidly expanding scale-up looking for a talented Machine Learning Engineer to join their team in London. This is an exciting opportunity to work on transformative AI-driven products in … a dynamic environment backed by significant investment. Key Responsibilities: Develop and deploy machine learning models for real-world applications. … Collaborate with cross-functional teams to define product requirements and integrate models into production systems. Work with large datasets to build scalable and efficient ML solutions. Conduct experiments, evaluate models, and continuously improve performance. Requirements: Education : BSc, MSc, or PhD in Computer Science, AI, Mathematics, or related field from a More ❯

Would you thrive in a fast-scaling business, solving novel problems in collaborative teams? Are you interested in developing machine learning products from conception to deployment? If so, you could be the person we are searching for. We are an IoT innovator working to scale our product deployments … passionate about developing technology that will change paradigms and contribute to a sustainable future. We are building Virtual Energy Infrastructure using our world-leading machine learning algorithms. We’re looking for a Machine Learning Research Engineer to work with us in our Data Science and AI … and any legal or ethical considerations – and then taking these products from conception to deployment. This will require strong software engineering expertise and excellent machine learning proficiency. The ideal candidate brings not just technical skills, but an intellectual curiosity and eagerness to expand their knowledge across diverse technical More ❯

Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The Machine Learning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization … drive innovation and efficiency across the organisation. The role will work closely with the Data Science Led to develop and execute an AI and ML roadmap aligned with business goals and requirements. What will be your key responsibilities? Serve as the technical lead for Generative AI and machine learning model deployment within RC D&A. Collaborate with the Data Science team to design, prototype and build next generation ML and AI products and accelerators. Design, architect and review technical architecture for data science, machine learning and AI solutions and provide feedback for optimal implementation. Develop and More ❯

What the Job Involves As a Machine Learning Scientist, your primary role would be to design and implement advanced machine learning techniques to analyze DNA and genetic data. Responsibilities: Analyze Genetic Data : Work with DNA and genetic information to uncover patterns and insights that could lead … data. Alternatively, expertise in using transformers for biological data, such as DNA, protein, or evolutionary-scale modelling. Proficiency in Python and at least one ML platform (e.g., PyTorch, TensorFlow). Experience with Graph ML/GNN OR Single Cell Transcriptomics Strong understanding of transformers and their applications in biomedical research. … Knowledge of lab-in-the-loop frameworks and integration of ML techniques with experimental data. More ❯

The Role : I am working with an amazing start-up specialising in the consumer fraud risk intelligence who are seeking a Senior Machine Learning Engineer. You will work along the end-to-end machine learning lifecycle, focusing on data engineering and maintaining real-time data pipelines. … Your responsibilities will include developing and maintaining ETL processes, designing and implementing machine learning algorithms, and deploying and monitoring models in production environments The Ideal Candidate Education & Experience: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 7+ years of professional experience … Experience with ETL processes, Python, and SQL. Familiarity with big data technologies like Apache Hadoop and Apache Spark. MLOps & Deployment: Experience deploying and maintaining ML inference pipelines. Proficiency with Docker and Kubernetes. Familiarity with AWS cloud platform. The Perfect Candidate Also Has : Programming Languages: Experience with Node.js, JavaScript (JS), and More ❯

Role Overview We are seeking a Machine Learning (ML) Engineer to join our expanding Data & AI team, focusing on delivering AI solutions for public sector and enterprise clients. The ML Engineer will collaborate with data scientists, architects, software engineers, business analysts, and project managers to develop innovative AI … processing, and storage for AI and analytics applications. Design and develop AI agents for creating intelligent autonomous systems. Optimize performance, scalability, and reliability of ML solutions using best practices. Monitor and troubleshoot solutions with Azure AI Metrics Advisor, Azure Application Insights, and Azure Monitor. Engage with stakeholders to understand needs … and provide data-driven insights. Stay updated with emerging AI and ML trends and technologies, including Agentic AI, RAG, and Image Generation. About you At least 3 years of experience in machine learning, data science, or software development. Proficiency in Python, C#, and other relevant programming languages. Experience More ❯

you’ll lead impactful projects using cutting-edge computer vision and deep learning at scale—from professional organizations to grassroots teams. Key Responsibilities ML at Scale : Design, build, and deploy machine learning models and systems for both cloud and edge environments, supporting thousands of concurrent sports events. … business, aligning with quarterly team objectives. Collaborative Development : Work cross-functionally with product and engineering teams to deliver high-quality results through incremental improvements. ML Lifecycle Optimization : Enhance team capabilities across the entire ML lifecycle, including data annotation, model training, deployment, and monitoring. Location and Flexibility This role is open … Proficiency with some of the following: Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, AWS . Demonstrated success in building and maintaining production-scale AI/ML systems . A track record of collaborating with product teams to deliver user-impactful solutions. Preferred Qualifications Experience using AI/ML in the sports More ❯