1 to 25 of 1,620 Machine Learning Jobs in England

sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test … improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with the Senior Machine Learning Stakeholders, such as the Head of Machine Learning, Head of Data Science, and Head of … Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and More ❯

sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test … improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with the Senior Machine Learning Stakeholders, such as the Head of Machine Learning, Head of Data Science, and Head of … Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and 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, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with … techniques in disciplines such as Deep Learning and Reinforcement Learning For more information about the MLCOE, please visit 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 and analytics journey. This includes More ❯

customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ At Monzo, Machine Learning Scientists have ownership across the entire ML lifecycle, from formulating ML problems to deploying models and monitoring their impact on key product and business metrics. Our Machine Learning Scientists collaborate in cross-functional squads across … customers manage their spending, or simplifying financial planning, our work makes banking smarter, more intuitive, and truly customer-first. What you'll be working on As a Senior Lead ML Scientist, you'll be the one of the most senior Individual Contributor (IC) Machine Learning Scientist. This will give you a real opportunity to lead us into an … will help us take our real time systems to the next level. As our most senior technical IC, you'll be providing key technical leadership and shipping highly impactful ML-based solutions. You'll be empowered to work across the collective identifying the most impactful areas and leading solution development. You'll work with our mission-oriented cross functional product More ❯

Machine Learning Engineer page is loaded Machine Learning Engineer Apply locations London, UK time type Full time posted on Posted 30+ Days Ago job requisition id R2550 Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G-Research is a leading quantitative research and technology firm, with … a recently published research paper Writing custom libraries for efficiently training on petabytes of data Reducing model training times by hand optimising machine learning operations Profiling custom ML architectures to identify performance bottlenecks Evaluating the latest hardware and software in the machine learning ecosystem Who are we looking for? Candidates will be comfortable working both independently … science competitions, such as Kaggle Strong object-oriented programming skills and experience working with Python, PyTorch and NumPy are desirable Experience in one or more advanced optimisation methods, modern ML techniques, HPC, profiling, model inference; you don't need to have all of the above Excellent ML reasoning and communication skills are crucial: off-the-shelf methods don't always More ❯

s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. 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 Deep Learning with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation.Job ResponsibilitiesResearch and explore More ❯

experienced Machine Learning Engineer to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on developing and advancing ML/AI across our platforms, researching and investigating new machine learning applications within the company, and improving pre-existing models. Role & Core Responsibilities Own the model development and … and investigate new machine learning applications within the company, and improve on pre-existing models. Collaborate closely with product and development teams to define and prepare new ML applications. Analyse performance and continuously improve scoring processes for hosted models. Best Bits of the Job Exposure to a phenomenal array of machine learning domains, including massive-scale … of-the-art technologies, including Large Language Models (LLMs), to enhance our products and services. Fully real-time architecture for data processing, model development, and deployment. Deploying and enhancing ML frameworks, optimizing for inference, and training/retraining cycles. Online testing for models with live data using proprietary A/B/N testing technology to rapidly determine what works More ❯

Innovative Companies by Fast Company. We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based … efficiency, synthesizing findings into actionable threat intelligence to better protect our customers.The team's core disciplines are data engineering, data science, devops, and security. We use data science and machine learning to process large volumes of data and build threat intelligence for Cloudflare's customers About the Role We're looking for a Machine Learning Engineer … to join our team and lead the charge in applying cutting-edge machine learning to cyber threat intelligence. In this highly impactful, hands-on role, you'll design, develop, and deploy scalable machine learning models that leverage massive datasets from our global network to identify and neutralize sophisticated cyber threats. Your expertise will directly enhance our More ❯

Senior Machine Learning Engineer - Python/TensorFlow/Keras/PyTorch/scikit-learn Wyatt Partners are working with the founders of an innovative Machine Learning startup to hire an experienced Machine Learning Engineer. They see the Senior Machine Learning Engineer quickly developing into the 'Head of Machine Learning' as … problem faced by various industries, offering a strong first-mover advantage with no natural competitors. The current tech stack includes: Python, TensorFlow, Keras, PyTorch, and scikit-learn. The Senior Machine Learning Engineer will be responsible for: Developing cutting-edge algorithms Building data management pipelines to automate updates of core algorithms Productionizing the company's Machine Learning … team members We are seeking an individual with a top-tier academic background in Machine Learning, AI, or Computer Science, with experience in developing, building, and deploying ML & AI applications at scale. The company offers a competitive base salary and an equity package. Apply now for the Senior Machine Learning Engineer role. More ❯

by continuously training and deploying machine learning models. We aim to make model deployments as easy and error-free as code deployments. Google's Best Practices for ML Engineering is our bible. Our models are trained to spot multiple types of fraud, using a variety of data sources and techniques in real time. The prediction pipelines are under … team is core to Ravelin's success. They work in a deeply collaborative partnership with the Data Engineering team to design the data architecture and infrastructure that powers our ML systems. This close alignment ensures our models are built on a foundation of high-quality, reliable, and efficiently processed data. The Role We are looking for a Machine Learning … bridge between data science and engineering, responsible for productionising the cutting-edge models our data scientists develop. Your role is to build, scale, and maintain the robust, high-performance ML systems that form the core of our fraud detection platform. You will not only consume data but also play a critical role in defining how data is modeled, stored, and More ❯

by continuously training and deploying machine learning models. We aim to make model deployments as easy and error-free as code deployments. Google's Best Practices for ML Engineering is our bible. Our models are trained to spot multiple types of fraud, using a variety of data sources and techniques in real time. The prediction pipelines are under … team is core to Ravelin's success. They work in a deeply collaborative partnership with the Data Engineering team to design the data architecture and infrastructure that powers our ML systems. The Role We are looking for a Senior Machine Learning Engineer to join our Detection team. In this role, you will be setting the technical direction that … bridges data science and engineering. You will be responsible for the architecture, scalability, and reliability of the high-performance ML systems that form the core of our fraud detection platform. Beyond just consuming data, you will take a leading role in defining how data is modeled, stored, and served for machine learning purposes, directly influencing the architecture of More ❯

Role Machine Learning Engineer Location - London (Hybrid) Salary - £80K - £100K Role Type Permanent Myn is an AI driven marketplace that connects the candidates, clients and recruiters. Myn collaborates with leading employers to offer exclusive, carefully matched permanent positions. Overview Are you a talented Machine Learning Engineer eager to make an immediate impact on exciting projects? Our … client is seeking an experienced professional for a hybrid position to be based in Central London As a Machine Learning Engineer for this start-up, you will have the chance to: Develop and implement cutting-edge machine learning models and algorithms that drive business outcomes and innovation. Collaborate with cross-functional teams, including data scientists, software … such as TensorFlow, PyTorch, or Scikit-learn. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms like AWS, GCP, or Azure for deploying ML solutions. Knowledge of version control systems (e.g., Git) and CI/CD practices for ML workflows. Experience 3+ years of hands-on experience as a Machine Learning Engineer More ❯

Scientist and help make a difference for small businesses! We contribute to innovative machine learning models for Pricing + Bundling and Generative AI projects. Collaborate with ML engineers to develop ML pipelines and ensure the quality and reliability of our ML solutions. What you'll get to do... Develop and implement sophisticated algorithms for Pricing and AI … projects using PyTorch. Craft and refine ML models to improve their performance, scalability, and adaptability. Analyze and interpret complicated data sets to advise model development and ensure accuracy and efficiency. Stay abreast of the latest developments in ML and artificial intelligence, integrating new methodologies and techniques as appropriate. Collaborate across multiple teams to integrate ML solutions within broader product and … platform initiatives. Contribute to the development of standardized processes for model evaluation, validation, and deployment to production environments. Drive the exploration and adoption of brand new ML technologies to maintain our competitive edge in the industry. Your experience should include... 4+ years of overall experience and 2+ years of experience in machine learning engineering or related roles. 3+ More ❯

Career Opportunities: AI and Machine LearningEngineer - (10783) Requisition … ID 10783 -Posted - Years of Experience (1) - Technology - Where (1) - Job DATA REPLY are data specialists, offering data platforms, BI, advanced analytics and AI/Machine Learning (ML) solutions to drive business success. We specialise in developing, deploying and operating production data solutions on AWS cloud. Role overview: As a AI & Machine Learning Engineer, you'll … instrumental inthe design and development of machine learningprocesses in a variety of client environments. You will analyse client requirements and help generate suitable recommendations. You will help managethe ML lifecycle fromdata selection and collection, ML model design and creation all the way through tooperationalizationand monitoring. You will work closely with data scientists and senior MLOps Engineers to understand and More ❯

Halifax, AA, Saga and Lloyds Bank to list a few. As a Machine Learning Engineer, you will help build and maintain the pricing team’s MLOps and ML Lifecycle environment to support the creation of pipelines by automating the sophisticated machine learning models and processes that underpin our market-leading technical modelling and pricing function. Key … processes. Work closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and … results in a concise manner both verbally and written Previous industry experience in a STEM role or educated to the Master’s level in a STEM or DS/ML/AI or maths-based discipline. Behaviours: Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes Strong grasp of industry standards More ❯

Halifax, AA, Saga and Lloyds Bank to list a few. As a Machine Learning Engineer, you will help build and maintain the pricing team's MLOps and ML Lifecycle environment to support the creation of pipelines by automating the sophisticated machine learning models and processes that underpin our market-leading technical modelling and pricing function. Key … processes. Work closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and … results in a concise manner both verbally and written Previous industry experience in a STEM role or educated to the Master's level in a STEM or DS/ML/AI or maths-based discipline. Behaviours: Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes Strong grasp of industry standards More ❯

is responsible for developing and implementing Group-wide strategic programs across HSBC aimed at accelerating the commercialisation and delivery of Artificial Intelligence/Machine Learning (AI/ML) across HSBC. Key areas of focus include responsible development practices, common platforms and capabilities, AI technology enablement, governance, and the Group-wide AI Strategy. In this fantastic new strategic role … you will join a growing team to lead the Machine Learning Centre of Excellence (ML-COE). This is a critical role for HSBC that will deliver against some of the most complex Machine Learning and Artificial Intelligence Use Cases to deliver Value within our Group Businesses and Functions (GB/GFs). You will drive … GB/GFs and form deep and trusted relationships with AI developers across the organization. In this role, duties will include: • Use Case Management: Prioritising and managing AI/ML use cases to ensure alignment with business objectives and maximise value delivery. • Delivery Oversight: Leading the execution of AI/ML projects, ensuring timely and quality delivery. • Team Development: Driving More ❯

impact space this is the team for you. We're looking for a passionate, results-oriented, and inventive Scientist who can lead from the front towards developing and deploying ML models for our outbound transportation planning systems. In addition, you will be working on design, development and evaluation of highly innovative ML models for solving complex business problems in the … in the area of Machine Learning and optimization. Other responsibilities include: Lead a team of data and research scientists towards design, development and evaluation of highly innovative ML/optimization models for solving complex business problems. Technically lead and mentor the scientists on the team. Research and apply the latest ML techniques and best practices from both academia … results and show a desire to develop themselves, their team, and their career. BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - PhD - Knowledge of machine learning approaches and algorithms - Knowledge of engineering practices and patterns for the full software/hardware/networks development More ❯

Security and Defence Consultancy client. Must have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance for a prestigious client to work on a portfolio … ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist … proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving skills Effective communication of complex technical More ❯

Security and Defence Consultancy client. Must have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance for a prestigious client to work on a portfolio … ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist … proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving skills Effective communication of complex technical More ❯

We are seeking a talented Senior ML Frameworks Engineer to develop and enhance scalable machine learning tooling that supports the entire ML lifecycle-from data processing and model training to evaluation and deployment. You will collaborate with cross-functional teams to create reusable, efficient solutions tailored for large-scale LLM projects. Our client is a global leader renowned … for pioneering innovations in computer software, personal computers, and mobile tablets, transforming the tech landscape. The team uses advanced machine learning frameworks designed to streamline large-scale model training, fine-tuning, and evaluation. They focus on accelerating training workflows and boosting model performance through continuous experimentation and infrastructure enhancements. Join … us to be at the forefront of innovation in AI and machine learning! Essential functions Build machine learning tooling to facilitate various phases of the ML lifecycle from model training, data ETL, end-to-end model evaluation and deployment Work with technical and non-technical stakeholders to build solutions to align LLMs for specific use cases. More ❯

in healthcare. They’re now looking for a Director of Machine Learning to join on an initial 6-month contract leading a talented team of around 20 ML engineers and data scientists. 📍 London | Hybrid (2 days/week onsite) 📅 Start: ASAP | ⏳ 6-month contract 💰 Outside IR35 - rate depending on experience The Opportunity Lead, coach and inspire a high … performing team of 20+ ML engineers, data scientists and applied researchers. Drive the ML strategy and roadmap, ensuring models are innovative, scalable and embedded at the core of the product. Partner with Product and Commercial leaders to align technical work with customer value and business outcomes. Push the boundaries of AI, NLP and machine learning applications. Solve complex … product challenges, working with API-first and headless architectures. Act as a thought leader, representing ML at exec level and guiding stakeholders on opportunities and trade-offs. About You Experience as a Director/Head of Machine Learning in a product-led tech company. Strong expertise in machine learning, NLP and applied AI. Proven success leading More ❯

in healthcare. They’re now looking for a Director of Machine Learning to join on an initial 6-month contract leading a talented team of around 20 ML engineers and data scientists. 📍 London | Hybrid (2 days/week onsite) 📅 Start: ASAP | ⏳ 6-month contract 💰 Outside IR35 - rate depending on experience The Opportunity Lead, coach and inspire a high … performing team of 20+ ML engineers, data scientists and applied researchers. Drive the ML strategy and roadmap, ensuring models are innovative, scalable and embedded at the core of the product. Partner with Product and Commercial leaders to align technical work with customer value and business outcomes. Push the boundaries of AI, NLP and machine learning applications. Solve complex … product challenges, working with API-first and headless architectures. Act as a thought leader, representing ML at exec level and guiding stakeholders on opportunities and trade-offs. About You Experience as a Director/Head of Machine Learning in a product-led tech company. Strong expertise in machine learning, NLP and applied AI. Proven success leading More ❯

in healthcare. They’re now looking for a Director of Machine Learning to join on an initial 6-month contract leading a talented team of around 20 ML engineers and data scientists. 📍 London | Hybrid (2 days/week onsite) 📅 Start: ASAP | ⏳ 6-month contract 💰 Outside IR35 - rate depending on experience The Opportunity Lead, coach and inspire a high … performing team of 20+ ML engineers, data scientists and applied researchers. Drive the ML strategy and roadmap, ensuring models are innovative, scalable and embedded at the core of the product. Partner with Product and Commercial leaders to align technical work with customer value and business outcomes. Push the boundaries of AI, NLP and machine learning applications. Solve complex … product challenges, working with API-first and headless architectures. Act as a thought leader, representing ML at exec level and guiding stakeholders on opportunities and trade-offs. About You Experience as a Director/Head of Machine Learning in a product-led tech company. Strong expertise in machine learning, NLP and applied AI. Proven success leading More ❯

in healthcare. They’re now looking for a Director of Machine Learning to join on an initial 6-month contract leading a talented team of around 20 ML engineers and data scientists. 📍 London | Hybrid (2 days/week onsite) 📅 Start: ASAP | ⏳ 6-month contract 💰 Outside IR35 - rate depending on experience The Opportunity Lead, coach and inspire a high … performing team of 20+ ML engineers, data scientists and applied researchers. Drive the ML strategy and roadmap, ensuring models are innovative, scalable and embedded at the core of the product. Partner with Product and Commercial leaders to align technical work with customer value and business outcomes. Push the boundaries of AI, NLP and machine learning applications. Solve complex … product challenges, working with API-first and headless architectures. Act as a thought leader, representing ML at exec level and guiding stakeholders on opportunities and trade-offs. About You Experience as a Director/Head of Machine Learning in a product-led tech company. Strong expertise in machine learning, NLP and applied AI. Proven success leading More ❯