26 to 50 of 18,856 Machine Learning Jobs in England

Social network you want to login/join with: Senior Machine Learning Scientist, Manchester col-narrow-left Client: Location: Manchester, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: a0a5c80c2f36 Job Views: 5 Posted: 02.06.2025 Expiry Date: 17.07.2025 col-wide Job Description … techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, Clustering, Isolation Forest, SVMs, NLP Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience in creating production grade coding and SOLID programming principles … Behaviours: A high level of professional/academic excellence, educated to at least a master’s level in a STEM-based or DS/ML/AI/or mathematical discipline Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes #J More ❯

to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Job Description NLP/LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites applications for a role focused on applying … techniques like Deep Learning and Reinforcement Learning. For more information, visit http://www.jpmorgan.com/mlcoe . Read about our AI/ML initiatives at https://www.jpmorgan.com/insights/technology/technology-blog?source=cib_... . The Chief Data & Analytics Office (CDAO) at JPMorgan … Chase ensures data quality, security, and leverages data insights to support commercial goals through AI/ML innovations, product development, productivity improvements, and risk management. About Us J.P. Morgan is a global leader in financial services, committed to building trusted, long-term client relationships. We value diversity and inclusion, providing 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 ❯

with our industry partners and leverage cutting-edge research from the Technology Innovation Institute (TII) to develop AI products that drive transformative change. Senior Machine Learning Engineer Are you an experienced Senior Machine Learning Engineer with a passion for AI? Do you have a proven track … ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 month ago London, England, United Kingdom 3 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 5 days ago London, England, United Kingdom 2 weeks ago London … Pricing London, England, United Kingdom 1 day ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week 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 More ❯

job poster from Owen Thomas | Pending B Corp Co-Founder @ Owen Thomas - Pending B Corp | Scaling teams for all things Data, Cloud & AI/ML Principal Machine Learning Engineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | Fully Remote, EU | £ 850-1200pd, Outside IR35 … months Contract Length The Client: A leading organization in the drug discovery field is currently looking for a Principal ML Engineer to spearhead the technical direction for their structural biology models. This hands-on, high-impact role offers the opportunity to advance the application of foundational models to complex structural … of how these models are applied within drug discovery workflows. A proven track record in setting strategy, solving complex technical problems, and delivering impactful ML systems is essential. Principal Machine Learning Engineer, Structural Biology | Pharma/BioTech expertise | Series A - Drug discovery B2B Platform | Fully Remote, EU More ❯

and more exclusive features. Grow with us. We are looking for a Machine Learning Engineer to work along the end-to-end ML lifecycle, alongside our existing Product & Engineering team. About Trudenty: The Trudenty Trust Network provides personalised consumer fraud risk intelligence for fraud prevention across the commerce … science and a track record of implementing fraud prevention, credit scoring or personalization algorithms. Setting up and maintaining real data pipelines to feed your ML models is light work for you, and you would have been as comfortable if this JD was for a ‘data engineer’. You have worked … and Apache Spark. Familiarity with real-time data processing frameworks such as Apache Kafka or Flink. MLOps & Deployment: Experience deploying and maintaining large-scale ML inference pipelines into production environments. Proficiency with Docker for containerization and Kubernetes for orchestration. Familiarity with AWS cloud platform (experience with GCP or Azure is More ❯

platform allows our energy specialists to be the most productive in the industry, with our suite of AI tools making us pioneers in using ML and AI to make agents' lives easier and customers happier. We do it by hiring clever, curious, and self-driven people, enabling them with modern … tools and infrastructure and giving them lots of autonomy. Our ML team consists of ML, front-end and back-end engineers, so that we can rapidly prototype and get innovative tools in use at breakneck speed. We’ve had great success in using AI to bring better service to customers … code that run Kraken, leveraging techniques at the cutting-edge of the technology like GraphRAG, agentic workflows, finetuning, and reinforcement learning Use classic ML and NLP techniques to complement and improve LLM systems Act as a center of excellence for the whole business in AI, as a floating resource 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 ❯

learning solutions. Conduct exploratory data analysis, feature engineering, model development, and evaluation. Work with infrastructure and product engineers to productionize models and new ML-based features. Actively monitor and improve production models through feature engineering, rules, and ML modeling. Participate in code reviews and ensure high quality and maintainability … of ML systems. Stay updated on the latest research in the field of machine learning, data science, and AI. Contribute to the development of machine learning best practices within the organization. Provide mentorship and guidance to junior team members. Required Skills Proven experience as a Machine … learning toolkits like pandas, scikit-learn, and optionally PyTorch/TensorFlow. Experience with machine learning operations (MLOps) and productionization of ML models. Familiarity with building data and metric generation pipelines, using tools like SQL or Spark, to answer business questions and assess system efficacy. Ability to More ❯

Research Scientist | Reinforcement Learning | Python | Machine Learning | Deep Learning | Hybrid, London Research Scientist | Reinforcement Learning | Python | Machine Learning | Deep Learning | Hybrid, London 3 days ago Be among the first 25 applicants Direct message the job poster from Enigma Founder @ Enigma | Creator of … autonomous • Collaborative with a team-player mindset And ideally: • Worked with large-scale deep learning systems in production • Published extensively in top-tier ML conferences • Experience in and appetite for working in small, rapidly growing teams or companies We offer enormous opportunities to define and own your lane, competitive … for “Machine Learning Engineer” roles. London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago Graduate Software Engineer – ML Data Platform London, England, United Kingdom 1 month ago London, England, United Kingdom 1 day ago London, England, United Kingdom 2 days ago London, England More ❯

Join to apply for the Senior Specialist - Machine Learning Data Science role at Virgin Money Join to apply for the Senior Specialist - Machine Learning Data Science role at Virgin Money Business Unit: Group Risk, Independent Model Validation We have an exciting opportunity for a Senior Specialist … Machine Learning in our Independent Model Validation team. The validation team holds a key role in the validation, challenge, and oversight of VMUK’s overall model landscape, including credit risk, financial and operational models. You’ll have the opportunity to work across a broad range of models spanning … retail and business asset classes and drive insight and improvements in model outputs and controls. With the advent of new technologies such as Machine Learning and Generative AI we see a huge drive in the financial modelling space that must be managed appropriately. This is where our team 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 ❯

on model architecture and developing cutting-edge capabilities to advance rational drug design. Your impact As a Research Scientist in machine learning (ML), you will play an exciting role in building greenfield machine learning based models and algorithms that will power our platform to transform the … some of the most ambitious modelling problems with deep learning - as well as providing technical mentorship and people management for others in the ML community at Isomorphic Labs You will be instrumental in leading greenfield machine learning based research projects, building the models, and algorithms that will … will do Contribute to our research directions in machine learning by using your extensive knowledge of the field to apply world-leading ML algorithms to drug discovery. Identify and create novel ML techniques and the required data to train. Develop the architectures and training algorithms of machine More ❯

Chemistry and Machine Learning), London London, England, United Kingdom 1 week ago Graduate Recruiter - Systematic Trading Technology & Machine Learning Senior ML Product Engineer - £90-125K + Benefits + Equity - London - Hybrid (3 days in office) Senior AI/ML Engineer (Data Science & Software Focus) London … Kingdom 3 days ago London, England, United Kingdom 4 days ago Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI) London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago Machine Learning Scientist III (Meta bidding) London … ago London, England, United Kingdom 2 days ago London, England, United Kingdom 4 months ago Applied Research Scientist, AI (Protein, Biology Focus) Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 6 days ago Fundamental AI Research, Dubbing - Research Scientist London, England, United Kingdom 6 days ago Machine More ❯

Machine Learning, Data Science, MLOps, Software Development, Python, Javascript, Financial Data Who are we? Moneyhub empowers financial services firms with complete, detailed, and real-time insight into their customers' financial needs and status, enabling them to take informed actions. Our highly categorized, data-enriched analytics allow clients to … craft personalized customer journeys, leading to enhanced engagement, optimized acquisition and servicing costs, and increased conversion rates. Machine Learning, Data Science, MLOps, Software Development, Python, Javascript, Financial Data Who are we? Moneyhub empowers financial services firms with complete, detailed, and real-time insight into their customers' financial needs … integration Experience building and deploying data solutions to production environments Practical knowledge of data processing techniques and relevant frameworks Understanding of when to apply ML algorithms vs. simpler approaches to solve problems Experience with statistical analysis and ability to interpret results to drive decision-making Proven ability to clean and More ❯

for financial service providers (our customers) to seamlessly verify, onboard, and monitor businesses (their clients). Position Overview We are looking for a Senior Machine Learning Engineer (Natural Language Processing) to join our team. You will be an early shaper of the design and architecture of the core … to shape both the product and the engineering culture. You should be ready to move fast, embrace uncertainty, and wear different hats. Responsibilities Develop ML functionality at the core of our platform. Train and evaluate models for intelligent document processing, web data parsing, classification, search, and matching. Implement production-level … recognition, intelligent document processing, website parsing & classification, sentiment analysis, information retrieval, entity matching & linking, spelling correction Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory Strong knowledge of Python & SQL Experience training & fine-tuning Transformers or Large Language Models (Huggingface Transformers, OpenAI, Llama 2, Langchain) Experience serving Neural Networks 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 quality … 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 ❯

Join to apply for the Senior/Staff Machine Learning Engineer role at Latinx in AI (LXAI) 4 days ago Be among the first 25 applicants Join to apply for the Senior/Staff Machine Learning Engineer role at Latinx in AI (LXAI) Get AI-powered … ll Be Doing Design modular and scalable real time data pipelines to handle huge datasets Suggest, implement, and coordinate architectural improvements for big data ML pipelines Understand and implement custom ML algorithms in a low latency environment Work on microservice architectures that run training, inference, and monitoring on thousands of … ML models concurrently What You'll Bring To The Table Have the ability to take an ambiguously defined task, and break it down into actionable steps Ability to follow through complex projects to completion, both by independent implementation and by coordinating others Have deep understanding of algorithm and software design More ❯

pay range Direct message the job poster from Harnham Senior Consultant - AI, Machine Learning and Data Science Contract Senior Data Scientist/ML Engineer £600-800/day | Outside IR35 | Hybrid (Central London, 2 days/week) We're working with a specialist consultancy delivering high-impact machine learning solutions to private equity-backed businesses. They are looking for an experienced Data Scientist or ML Engineer to support a live project, applying classical machine learning to solve tangible, high-value problems. You will be joining a small, collaborative team of engineers and data scientists … on-site 2 days per week in Central London. The work focuses on traditional ML use cases, such as: Optimisation modelling to improve manufacturing throughput Predictive modelling to anticipate and reduce asset downtime Customer churn prediction and mitigation Next-best-action modelling for sales agents Geospatial modelling to inform store More ❯

AI platform decodes the complexity of genome biology to identify novel drug targets, mechanisms, and genetic medicines inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created. … Where You Fit In We are seeking a Machine Learning Scientist to help expand our AI workbench for drug discovery. Pioneered by our company, the application of machine learning and AI to drug discovery is a rapidly advancing field with many unsolved and exciting challenges. Whether … learning models for RNA biology, systems biology, and structural biology to solve frontier challenges in drug discovery. Collaborate with cross-functional teams (e.g., ML engineering, target discovery, and experimental biology) to drive research projects that identify novel drug targets and preclinical candidates. Design and execute computational and experimental studies 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 ❯

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 ❯

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 ❯

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 ❯

learning solutions. Conduct exploratory data analysis, feature engineering, model development and evaluation. Work with infrastructure & product engineers to productionize models and new ML based features. Actively monitor and improve production models through feature engineering, rules and ML modeling. Participate in code reviews and ensure high quality and maintainability … of ML systems. Stay updated on the latest research in the field of machine learning, data science, and AI. Contribute to the development of machine learning best practices within the organization. Provide mentorship and guidance to junior team members. Required Skills Proven experience as a Machine … learning toolkits like pandas, scikit-learn, and optionally pytorch/tensorflow. Experience with machine learning operations (MLOps) and productionization of ML models. Familiarity with building data and metric generation pipelines, using tools like SQL or Spark, to answer business questions and assess system efficacy. Ability to More ❯