1 to 25 of 6,063 Machine Learning Jobs in England

Social network you want to login/join with: NLP/LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence, London col-narrow-left Client: Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 32c0badc6a41 Job Views … Posted: 29.04.2025 Expiry Date: 13.06.2025 col-wide Job Description: NLP/LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of … Learning and Reinforcement Learning. For more information about the MLCOE, please visit [website]. To learn about how we're using AI/ML to drive transformational change, please read this blog: The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data More ❯

Join to apply for the Machine Learning Engineer role at Proximie 2 weeks ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer role at Proximie Get AI-powered advice on this job and more exclusive features. Five billion people in … ago London, England, United Kingdom 4 days ago London, England, United Kingdom 2 months ago London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 months ago London, England, United Kingdom 2 weeks ago London … ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each More ❯

NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series … reinforcement learning and recommendation systems. The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning … and Reinforcement Learning. For more information about the MLCOE, please visit this link . To learn about how we're using AI/ML to drive transformational change, please read this blog . The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's More ❯

and are excited about working with cutting-edge technologies, apply today! You will: Design and implement product features and services that use AI and ML to augment and simplify our customers' workflows. Develop our internal ML platform to support our machine learning systems and our own efficiency. Monitor … learning systems. Build and operate pipelines for accessing and enriching data for machine learning. Train, tune, and ship models. Mentor other ML engineers, software engineers, and data scientists in best practices. Work with product managers and data scientists to translate product/business problems into tractable machine … science tools. Ability to communicate complex ideas in machine learning to non-technical stakeholders. You may have: Experience with one or more ML Ops frameworks - MLFlow, Kubeflow, Azure ML, Sagemaker. Strong theoretical foundations in linear algebra, probability theory, or optimization. Experience and training in finance and operations domains. More ❯

ECOM are partnered with an exciting software development company based in Manchester who are looking for a Senior Machine Learning Engineer. You will join an innovative technology company at the forefront of machine learning and artificial intelligence solutions. As a Senior Machine Learning Engineer … be part of a dynamic team dedicated to pushing the boundaries of AI technology and creating impactful solutions. Role Overview: Seeking a talented Senior Machine Learning Engineer to lead the development and implementation of advanced machine learning models and algorithms. As a key member of our … team, you will work on challenging projects, leveraging your expertise in machine learning to drive innovation and solve complex problems. Responsibilities: - Design, develop, and deploy machine learning models and algorithms to address business challenges and opportunities. - Collaborate with cross-functional teams, including software engineers and data More ❯

the organization. The position could be based out of our Chicago, NY or London offices. Specific Emerging Technology team objectives are: Gen AI/ML technology implementation with business and product owners Emerging Tech Governance function covering policies, guidelines and processes to govern AI/ML enabled components as well … by GenAI, deep learning and machine learning to address business challenges and elevate product performance. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business. Develop and deploy machine learning and Gen … innovative machine learning and Gen AI solutions that leverage data to meet business goals. Design and develop scalable solutions and GenAI and ML workflows that leverage machine learning, Gen AI and deep learning models to meet enterprise requirements. Actively participate in maintaining SLAs for Production More ❯

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 ❯

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 ❯

Applied AI ML Senior Associate - Machine Learning Center of Excellence - Time Series Reinforcement Learning Job Description The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company … intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Senior Associate in Machine Learning Center of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex … tasks including time series analysis, reinforcement learning, causal inference, and natural language processing. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to More ❯

NLP/LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence Job Description The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech … analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time … towards learning, researching and experimenting with new innovations in the field. The candidate must have practiced expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities Research and explore new machine learning More ❯

Machine Learning role at Bumble Inc. Bumble is looking for a talented Engineering Manager – Machine Learning to join the Trust ML team and help drive our mission to create a world where all relationships are healthy and equitable. We’re looking for an ML leader with … and infrastructure: GitOps for multi-cluster K8s environments - Bumble is looking for a talented Engineering Manager – Machine Learning to join the Trust ML team and help drive our mission to create a world where all relationships are healthy and equitable. We’re looking for an ML leader with … powered Kubernetes clusters! Some of our posts, if you are interested in deep diving in our stack and infrastructure: GPU-powered Kubernetes clusters - KServe ML deployments - gRPC vs JSON- GitOps for multi-cluster K8s environments - What you'll do: Take the lead in collaboratively designing, delivering and maintaining our machine More ❯

ML OPs Engineer Luton/Hybrid COMPANY When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so … over 80 million passengers a year, we employ over 13,000 people. Its big-scale stuff and we’re still growing. JOB PURPOSE The ML Ops Engineer acts as the backbone of machine learning operations, bridging the gap between research and production. They collaborate with teams across the … solutions and work with engineers to maintain optimal performance in production environments. KEY SKILLS REQUIRED To excel as a Machine Learning Operations (ML Ops) Engineer, candidates must possess a unique blend of technical expertise, problem-solving capabilities, and collaborative skills. This role requires proficiency in managing machine More ❯

ML OPs Engineer Luton/Hybrid COMPANY When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so … over 80 million passengers a year, we employ over 13,000 people. Its big-scale stuff and we’re still growing. JOB PURPOSE The ML Ops Engineer acts as the backbone of machine learning operations, bridging the gap between research and production. They collaborate with teams across the … solutions and work with engineers to maintain optimal performance in production environments. KEY SKILLS REQUIRED To excel as a Machine Learning Operations (ML Ops) Engineer, candidates must possess a unique blend of technical expertise, problem-solving capabilities, and collaborative skills. This role requires proficiency in managing machine More ❯

ML OPs Engineer Luton/Hybrid COMPANY When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so … over 80 million passengers a year, we employ over 13,000 people. Its big-scale stuff and we’re still growing. JOB PURPOSE The ML Ops Engineer acts as the backbone of machine learning operations, bridging the gap between research and production. They collaborate with teams across the … solutions and work with engineers to maintain optimal performance in production environments. KEY SKILLS REQUIRED To excel as a Machine Learning Operations (ML Ops) Engineer, candidates must possess a unique blend of technical expertise, problem-solving capabilities, and collaborative skills. This role requires proficiency in managing machine More ❯

ML OPs Engineer Luton/Hybrid COMPANY When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so … over 80 million passengers a year, we employ over 13,000 people. Its big-scale stuff and we’re still growing. JOB PURPOSE The ML Ops Engineer acts as the backbone of machine learning operations, bridging the gap between research and production. They collaborate with teams across the … solutions and work with engineers to maintain optimal performance in production environments. KEY SKILLS REQUIRED To excel as a Machine Learning Operations (ML Ops) Engineer, candidates must possess a unique blend of technical expertise, problem-solving capabilities, and collaborative skills. This role requires proficiency in managing machine More ❯

wearables. This is a high-impact role with the opportunity to shape the future of digital health and help bring clinically validated, regulatory-ready ML solutions to market The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These … machine learning to time-series or physiological data Strong foundation in signal processing and time-series modeling (e.g., deep learning, classical ML, anomaly detection) Proficient in Python and ML frameworks such as PyTorch or TensorFlow Familiarity with FDA regulatory pathways for medical software (e.g., 510(k), De … Novo), and standards like IEC 62304 or ISO 13485 Experience with MLOps practices and model versioning in compliant environments Preferred Qualifications: Experience building ML models with wearable data (e.g., continuous heart rate, motion, respiration) Exposure to embedded AI or edge model deployment (e.g., TensorFlow Lite, Core ML, ONNX) Knowledge of More ❯

pandemic and the beginning of the global energy transition. The Data Science team works closely with the commercial decision makers, using cutting edge machine learning to shape our understanding of the world's energy markets, identify new opportunities and turn data into impactful decision making. This is an … the way data is used within the organization. Job Description As our portfolio of work continues to grow, we are looking for an experienced Machine Learning Engineer to join our data science and machine learning team. The individual will work closely with the data and machine … come to life quickly Close collaboration with various business units across our key regions (eg. London, Singapore, Houston, Geneva) A highly motivated DS and ML team comprised of experienced individuals with a supportive attitude and great team spirit Being part of the energy transition through increased emphasis on renewable & alternative More ❯

our business and customer needs. Your day-to-day: As a technical individual contributor, you'll be providing technical leadership and shipping highly impactful ML-based solutions. You'll be embedded in a cross functional product squad, working closely with product managers, data scientists, backend engineers and designers in an … levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others. Working closely with our ML platform team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle. You should … models to tackle real business problems preferably in a fast moving tech company. You have experience developing and shipping state of the art ML architectures to production and delivering business impact. You're impact driven and excited to own the end to end journey that starts with a business More ❯

intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Senior Associate in Machine Learning Center of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex … tasks including time series analysis, reinforcement learning, causal inference, and natural language processing. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to … deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Machine Learning and Econometrics with hands-on More ❯

/him, they/them, etc). Are you ready to revolutionise the way people find meaningful connections? Bumble is looking for a Senior Machine Learning Scientist to join our People Recommendations team and play a key role building our cutting-edge recommendation system to empower millions of … in modern machine learning architectures (e.g. transformers, graph neural networks, contrastive learning and mult-modal embeddings) Proven ability to develop novel ML algorithms, adapt state-of-the-art research to real-world applications, and deliver tangible impact. Experience in writing production-quality Python code for solving machine learning tasks using ML frameworks such as Pytorch or Tensorflow. Strong product sense/intuition. Excellent communication and storytelling skills. Experience thriving in a fast-paced, dynamic environment and contributing positively to team collaboration and company culture. A genuine passion for Machine Learning, and a thoughtful More ❯

Applied Science Manager, Traffic Quality ML Amazon is looking for an Applied Scientist with a machine learning background to help build industry-leading Speech and Language technology. Key Job Responsibilities Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected … human and invalid traffic within programmatic ad sources, and weed them out to ensure a high-quality advertising marketplace. We do this by building machine learning and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of … reviewed publications and whitepapers. Work with your engineering team and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production. Keep updated on the industry landscape in Traffic Quality and identify algorithm investments to achieve an industry-leading traffic quality solution. Learn More ❯

planned, and you will be working in an innovative and collaborative environment with your international peers and colleagues. As the Machine Learning (ML) Engineer II, you will be responsible for developing AI Labs' machine learning platform and creating production-ready AI-based solutions for key impact … libraries according to the technology and product roadmaps. You will work collaboratively with application engineering, product, and business stakeholders to develop principled and innovative ML solutions from research to POC to production. You will also serve as an expert within Parexel, driving AI education and providing expert guidance to other … parts of the business. Key Accountabilities: ML and Natural Language Processing (NLP) Technology: • Leverage proprietary technology stack to build custom machine learning models • Design, implement, and document new ML/NLP modeling techniques and strategies • Develop Back-end/server-side software to support AI solution development and More ❯

apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. Take ownership of end-to-end ML model development—from data preprocessing and feature engineering to training, testing, and deployment. Collaborate across teams to implement machine learning solutions into production … share findings clearly with the team. No jargon—just straightforward, actionable insights. Continuously learn new techniques and stay up to date with the latest ML trends, applying them to improve the product as you go. Requirements: A degree in Computer Science, Data Science, or a related field (or equivalent practical … experience). 2-3 years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. Strong Python and Java programming skills and More ❯

We are seeking an experienced MLOps Engineer to bridge the gap between machine learning models and production environments. As an MLOps Engineer, you will be responsible for building, deploying, and maintaining scalable machine learning infrastructure in AWS. You will work closely with data scientists, DevOps teams … as SageMaker, Lambda, EKS, EC2, CloudFormation, and DynamoDB for deploying and managing machine learning models. Proficiency in containerization (Docker, Kubernetes) and automating ML pipelines using CI/CD tools like CodePipeline, Jenkins, and GitLab CI. Experience with model versioning tools (MLflow, DVC, SageMaker Model Registry) and automating data … standards. Background in machine learning libraries such as TensorFlow, PyTorch, or XGBoost for model development and training. Familiarity with serverless computing for ML workflows using AWS Lambda and API Gateway, and multi-cloud environments. If you are a skilled MLOps Engineer with a passion for automating machine More ❯

speak to your recruiter about the options for this particular role. Grade: GG10-GG11 Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE … Systems as an experienced Machine Learning (ML) Engineer. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identity where AI/ML-based solutions can add value. You will lead on prototype development and be responsible … for designing, implementing, and deploying AI solutions. This cross-functional role requires a strong foundation in software engineering, statistics, and AI/ML concepts. Due to the fast-paced change in AI/ML, you are expected to be aware of the latest advancements in AI and ML technologies, ensuring More ❯