1 to 25 of 393 Permanent 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 ❯

Data Scientist/Machine Learning Engineer/AI Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) Data Scientist/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 Data Scientist will join a very bright, talented team of engineers with the guidance of technologists who … Science/Machine Learning role Solid experience of Python and some Java (Could be from University projects) 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 ❯

Machine Learning Researcher A fully automated algorithmic trading company in London have ambitious plans to grow their machine learning research team. All their researchers have an impressive academic background in mathematics, statistics, and physics and have published … numerous academic articles in their respective fields. They enjoy a healthy work-life balance while tackling hard problems in quantitative finance using AI and ML techniques. As a Machine Learning Researcher, you will work with a fantastic team of data scientists and engineers on a wide scope of … ML responsibilities to tackle hard problems in quantitative finance: Build machine learning trading strategies across a range of asset classes Design predictive models with scientific rigor Explore new projects in neural networks and deep learning Oversee projects focused on finding trading product solutions Requirements for the Machine 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 ❯

the development of a greenfield compliance platform focused on anti-money laundering (AML) and counter-terrorist financing (CTF). You’ll help design scalable ML infrastructure, build real-time monitoring systems, and explore the latest advancements in AI. Your Responsibilities: Contribute to a New ML-Driven Platform : Build advanced AML …/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. … Drive Deployment and ML Operations: Collaborate with DevOps to containerise and deploy monitors with automated testing and evaluation tools. Support ML Ops development to track model health, detect drift/skew, and ensure model reliability in production. Focus on Scalability and Clean Code: Write clear, well-documented, and reusable code 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 ❯

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 ❯

Social network you want to login/join with: Machine Learning Engineer - Health Tech Start Up, slough col-narrow-left Client: Oho Group Ltd Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 31.05.2025 Expiry Date: 15.07.2025 col … wide Job Description: 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 … 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: Private More ❯

insights; helping our clients reduce clinical development risk and improve return on investment from their clinical development programmes. We achieve this by combining Ai machine learning imaging biomarker analysis, together with centralised neuroimaging CRO services to provide an integrated service covering every stage of clinical development through to … Agility and Accountability. To help us deliver our medical image analysis solutions to large clinical trials we are hiring a Imaging Scientist (R&D ML specialist) on a permanent full-time capacity. Purpose of the Role: The purpose of this role is the development of imaging analysis solutions to address … sexual orientation, marital status, disability or any other protected class. This is a great opportunity for a strong and experienced Imaging Scientist (R&D ML specialist) to thrive in an engaging and fast-paced environment, to make a difference on an everyday basis. If you think IXICO should meet you More ❯

Machine Learning Engineer with Data Engineering expertise to help scale our platform. In this hybrid role, you’ll design data pipelines, develop ML models, and work across data and AI systems to enhance our platform’s capabilities. If you thrive in a collaborative, fast-moving environment and want … models for production. • Optimize model performance based on key metrics for scalability, reliability, and real-world impact. • Build and maintain end-to-end ML pipelines, including data preprocessing, model training, deployment, and monitoring. • Work closely with cross-functional teams to integrate ML models into our SaaS platform for PAI … Develop, maintain, and optimize scalable data pipelines for ingesting, processing, and storing large volumes of data. • Ensure data quality, consistency, and availability to support ML workflows. • Work with ELT processes and implement Medallion (Bronze/Silver/Gold) architecture to structure and optimize data transformation. • Align data infrastructure with business More ❯

A growing technology company is seeking a Machine Learning Engineer to develop predictive maintenance models for robotic components. This role involves building models from scratch using optical, UV, and thermal imaging data, as well as environmental sensor data such as humidity, temperature, and pressure. Key Responsibilities Develop machine learning models to detect anomalies and failure patterns in robotic components. Use Python and PyTorch to process real-time image and sensor data. Data Processing & Synthetic Data Generation Create synthetic datasets to enhance model training and failure mode analysis. Work with high-voltage equipment data to refine predictive … Work with manufacturers to improve equipment reliability through machine learning insights. Collaborate with an in-house data scientist to process and analyze ML outputs. Set up and optimize machine learning pipelines for real-world deployment. Key Skills & Experience Proficiency in Python and PyTorch for model development. More ❯

Senior Machine Learning Engineer - Sports Tech Powerhouse (London - Hybrid) Senior Machine Learning Enginee r needed for one of the fastest-growing tech companies in the UK, transforming the future of sports. You'll be a strong Machine Learning Engineer with years of hands on … field that you are passionate about. Requirements: Strong Python skills - experience with writing production quality code 3+ years of professional experience building and designing Machine Learning models and algorithms Leadership experience - providing guidance and mentoring junior engineers Bonus points if you: Have professional experience working in sports, health … or with wearables Someone who enjoys staying active/into fitness - you'll feel right at home Senior Machine Learning Engineer - Sports Tech Powerhouse (London - Hybrid More ❯

join with: Job Type: 6 Month Contract + chance for extension Interview Process : Video Interviews held remotely A Private Equity firm are seeking a Machine Learning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and predictive modelling. You … won the bid for the project. The end point client operate primarily in an Azure environment hence demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for … optimal exit strategies. Help in the adoption of AI tools to optimise operations, reduce costs, and drive growth through automation and data-driven insights. Machine Learning Engineer Key Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine More ❯

by a top-tier VC to hire a Director of Machine Learning . This is a hands-on leadership role, guiding the ML function across an innovative platform. For this role, we are also open to people who don’t necessarily come from a director level background but … may have been working in a management, tech lead or senior level role. You’ll own the ML strategy and roadmap, lead a talented team of applied ML engineers, and drive delivery across areas such as generative AI, geospatial analysis, computer vision, and hybrid physical-ML models. This is a … chance to tackle real-world problems with high impact, blending deep tech with urgent purpose. Key Responsibilities Define and evolve the company’s AI & ML strategy and technical roadmap Lead and scale a team of ML Engineers, providing coaching, mentorship, and technical direction Take ownership of ML model development across 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 ❯

Social network you want to login/join with: Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London, Hybrid, slough col-narrow-left Client: Enigma Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 31.05.2025 … of 5–10 technical contributors and supporting their development and productivity. Systems Expertise : Hands-on experience in building, maintaining, and monitoring complex AI/ML systems operating in production at scale. Technical Proficiency : Strong experience in several of the following domains: Classical and deep learning-based computer vision GPU … Communication : Ability to explain complex technical topics and decisions clearly to both technical and non-technical stakeholders. Product Focus : Track record of delivering impactful ML/AI-driven features in close collaboration with product and engineering teams. Preferred Qualifications Sports Technology Experience : Familiarity with applying AI/ML techniques to More ❯

Learning Engineer London (Hybrid) Up to £65,000 Greenfield work One of La Fosse’s best clients are currently seeking a talented ML Engineer for their greenfield AI team. Join a cutting-edge innovation department within a fast-paced financial environment, helping to shape the next generation of … to join a small & agile development team focused on building out a greenfield AI-powered transaction monitoring platform. You'll work on everything from ML model development and GenAI summarisation pipelines to MLOps and multi-agent systems—with real-world impact on financial security and compliance. What You’ll Do … like TensorFlow, OpenAI, and LangChain. Help design GenAI pipelines and consensus mechanisms across a distributed agent system. Work alongside DevOps to build scalable, automated ML deployment pipelines. Write clean, well-documented code using Python and modern tooling (gRPC, Alembic, Pytest, etc.). Requirements: 1–3 years of experience in ML More ❯

infrastructure within AWS Develop and manage CI/CD pipelines for machine learning training and deployment Implement robust data pipelines to support ML workflows from ingestion through to production Monitor and manage performance, cost, and security across ML systems Collaborate with data scientists, ML researchers, clinicians, and engineers … Functions Airform Terraform, ECS Python (core language), Bash, (GO is advantageous but not strictly necessary) Required experience: Strong hands-on experience in MLOps or ML infrastructure roles Deep familiarity with AWS services relevant to machine learning Proven experience deploying models into production (ideally using SageMaker) Working knowledge of … infrastructure-as-code, ideally using Terraform Strong understanding of CI/CD, automation, and monitoring within ML environments Ability to work cross-functionally and communicate effectively with both technical and non-technical stakeholders Nice to have: Experience in highly=regulated environments such as healthcare or finance Familiarity with data privacy More ❯

to deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability … end data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. … learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working More ❯

events globally, developing new experiences and insights that power the future of sports. In this role, you will: Deliver at scale: Build and deploy ML models across cloud and edge platforms, scaling to thousands of simultaneous matches. Lead impactful projects: Own and drive initiatives that directly enhance the experience for … Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. Product-minded approach: Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. Scalable systems expertise: Solid track record building and managing AI/ML systems in production environments at … scale. Nice to Have: Sports tech experience: Background applying AI/ML in the sports domain for data generation or insights. Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience working with embedded SoCs (Nvidia, Qualcomm, etc.). If you More ❯

Machine Learning Research Engineer, Slough We are seeking a Machine Learning Research Engineer to join our Data Science and AI Team in Slough, UK. Our company is an IoT innovator focused on scaling product deployments across the UK and EU, developing technology to foster a sustainable … future through Virtual Energy Infrastructure powered by advanced machine learning algorithms. This role involves working with large, complex datasets to develop novel algorithms addressing various statistical, mathematical, and engineering challenges. You will collaborate in a highly innovative environment, designing new algorithm products from conception to deployment, considering practical … Street, London Experience Level: 0-4 years Qualifications: MSc/MSci in Mathematics, Computer Science, Physics, or related field Proficiency in Python and relevant ML libraries/frameworks Strong analytical and communication skills Experience with data cleaning, visualization, and analysis Ability to conduct autonomous research and develop scalable algorithms Enthusiasm More ❯

Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London, Hybrid We are seeking an Engineering Manager to join our Applied Machine Learning team , focused on delivering innovative experiences and insights for coaches, athletes, and fans. This role leads high-impact initiatives using advanced … of 5–10 technical contributors and supporting their development and productivity. Systems Expertise : Hands-on experience in building, maintaining, and monitoring complex AI/ML systems operating in production at scale. Technical Proficiency : Strong experience in several of the following domains: Classical and deep learning-based computer vision Multi … Communication : Ability to explain complex technical topics and decisions clearly to both technical and non-technical stakeholders. Product Focus : Track record of delivering impactful ML/AI-driven features in close collaboration with product and engineering teams. Preferred Qualifications Sports Technology Experience : Familiarity with applying AI/ML techniques to More ❯

Machine Learning Engineer Remote with Travel Are you an experienced Machine Learning Engineer looking to work on cutting-edge cloud projects for prestigious clients? This organization has experienced continual strong growth since its founding. This exciting role involves designing, building, and delivering complex new solutions within … development and progression with support Performance Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will create ML models for deployment in the cloud and support Data Engineering, DataOps, and DevOps teams. You will work with the latest technology on highly visible, large … scale projects. What you'll bring to the role Strong grounding in ML approaches, techniques, and frameworks Proficiency in Python, Pandas, TensorFlow, Scikit-learn, Numpy, SciPy Experience deploying models to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF, etc.) Ability to work with databases such More ❯

Machine Learning Engineer Remote with Travel Are you an experienced Machine Learning Engineer looking to work on cutting-edge cloud projects for prestigious clients? This organization has experienced continual strong growth since its founding. This exciting role involves designing, building, and delivering complex new solutions within … development and progression with support Performance Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will create ML models for deployment in the cloud and support Data Engineering, DataOps, and DevOps teams. You will work with the latest technology on highly visible, large … scale projects. What you’ll bring to the role Strong grounding in ML approaches, techniques, and frameworks Proficiency in Python, Pandas, TensorFlow, Scikit-learn, Numpy, SciPy Experience deploying models to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF, etc.) Ability to work with databases such More ❯