126 to 150 of 650 Machine Learning Engineer Jobs in England

lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an ML Engineer, you'll work with clients to train ML models to satisfy their business needs. Your work will range from training next-generation AI cybersecurity firewall LLMs to training foundation … to integrate tool-calling into production-serving LLMs. Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems. Ideally you'd have: At least 1-3 years of model training, deployment and maintenance experience in a production environment Strong … skills in NLP, LLMs and deep learning Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get the More ❯

Senior Machine Learning Engineer (must be UK based) PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses to deliver outstanding customer service that rivals their human agents. Our customers, which include the world's leading logos, are expanding how they use our platform, driving … automation of critical customer service operations and integrating PolyAI into their daily customer service workflows. As a senior Machine Learning Engineer specialising in speech recognition, you will play a key role in shaping and implementing strategies for (synthetic or not) data generation, collection, and annotation, as well as evaluating and experimenting with various models and novel architectures. … accuracy of specific data points extraction (addresses, phone numbers, postcodes etc). Develop robust evaluation benchmarks to track improvements in production models Stay informed about the latest advancements in machine learning, ASR, TTS, and LLM to continuously enhance our technologies Build tooling which allows cooperation between clients/users of the machine learning models and MLEs More ❯

Team: Tech Hours: Full time Reports to: Defect Detection Team Lead Location: Exeter or Bristol, minimum of 3 days in the office. Role Overview: As a Machine Learning Engineer at DeGould you will be responsible for building and maintaining our labelling, training and production inference data pipelines to produce high quality datasets, models and services to power … Our Vision: DeGould's vision is to be the standard for new vehicle inspection in the automotive sector. Key Responsibilities: The main deliverables of the role are: Deliver performant machine learning models for customers. Building capabilities to monitor and evaluate model performance and metrics. Detailed duties of the role include: Write production, robust, readable and extendable code to … support machine learning pipelines. Use industry best practices and seek to implement improvements across the machine learning lifecycle. Continuous evaluation of models in production and system performance analysis. Proactively seek technical solutions that solve customer problems. Stay up to date and evaluate opportunities to apply the latest tools, research, methods and technologies. Work across multidisciplinary teams More ❯

Senior Machine Learning Engineer page is loaded Senior Machine Learning Engineer Apply locations EMEA - United Kingdom - Birmingham EMEA - United Kingdom - Offsite/Home EMEA - United Kingdom - London - Agar St EMEA - United Kingdom - Newbury time type Full time posted on Posted Yesterday job requisition id 25WD88887 Job Requisition ID # 25WD88887 Position Overview As we … our Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion’s cloud-based automation and AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from … best practices. Collaboration: Work collaboratively with cross-functional teams to integrate research findings into product development. Mentorship: Mentor and guide junior researchers and engineers, fostering a culture of continuous learning and improvement. Publication: Publish research findings in top-tier conferences and journals; represent Autodesk at industry and research events. Requirements Research Expertise: Proven research track record in AI/ More ❯

Senior Machine Learning Engineer page is loaded Senior Machine Learning Engineer Apply locations EMEA - United Kingdom - Birmingham EMEA - United Kingdom - Offsite/Home EMEA - United Kingdom - London - Agar St EMEA - United Kingdom - Newbury time type Full time posted on Posted Yesterday job requisition id 25WD88887 Job Requisition ID # 25WD88887 Position Overview As we … our Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion’s cloud-based automation and AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from … best practices. Collaboration: Work collaboratively with cross-functional teams to integrate research findings into product development. Mentorship: Mentor and guide junior researchers and engineers, fostering a culture of continuous learning and improvement. Publication: Publish research findings in top-tier conferences and journals; represent Autodesk at industry and research events. Requirements Research Expertise: Proven research track record in AI/ More ❯

We are looking for a Senior Machine Learning Engineer to join our Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse, extract and generate knowledge from complex biomedical data such as experimental protocols and from results from several heterogeneous sources, including both publicly available data and proprietary internal data, represented … the art ML approaches within your team(s).Participate in various agile rituals and related practices You Have: Minimum 3, ideally 5+ years of experience working as an ML engineer Some experience providing technical leadership on complex projects Degree, preferably PhD, in Software Engineering, Computer Science, or a similar area A proven track record of delivering complex ML projects … maintenance Familiarity with implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture Experience with graph machine learning (i.e. graph neural networks, graph data science) and practical applications thereof This is complimented by your experience working with Knowledge Graphs, ideally biological, and a familiarity with More ❯

outcomes, and better value for healthcare payers. As a Research Scientist at Odin Vision, you will implement and maintain state-of-the-art industry practices for efficient and reproducible machine learning processes. You will work alongside researchers and engineering teams to ensure that the processes are practicable and integrate well into existing structures. You must be able to … related degree program Experience: 5+ years experience working in the industry or a PhD in a relevant field Technical leadership with a range of technical abilities e.g. Data Engineering, Machine Learning, Cloud, DevOps & Software Good theoretical understanding of machine learning, neural networks, and other computer vision topics Hands-on experience with Python and PyTorch Hands-on More ❯

Automotive. We are about to take the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic machine learning engineer to join our team. If all of this sounds exciting to you, we would love to talk. Note: We are currently recruiting for multiple positions … closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable Explore and manipulate 3D point cloud & mesh data Own the delivery of technical workstreams Create analytics environments and resources in … usable libraries, tooling and products Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption What You Bring To The Table Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings. Experience More ❯

s-get-stuff-done' attitude. We offer great perks, including hybrid working, bonuses, stock options, generous leave, and trips abroad. #WhatWillYouBuild Why We Need This Role We seek a Machine Learning Engineer to maintain and expand our ecosystem of microservices within the Intelligent Systems Group. The role involves ensuring the robustness and scalability of AI-based APIs … data, and model training pipelines. What we are looking for Strong teamwork and communication skills. Confidence in your abilities, openness to learning new approaches. Extensive software engineering experience with Python (no data science background required). Experience with production microservices (Docker/Kubernetes) and cloud infrastructure. Knowledge of databases like Postgres, Redshift, Neo4j is a plus. Why You Should More ❯

lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an ML Engineer, you’ll work with clients to train ML models to satisfy their business needs. Your work will range from training next-generation AI cybersecurity firewall LLMs to training foundation … to integrate tool-calling into production-serving LLMs. Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems. Ideally you’d have: At least 1-3 years of model training, deployment and maintenance experience in a production environment. Strong … in NLP, LLMs and deep learning. Solid background in algorithms, data structures, and object-oriented programming. Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment. Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get the most of More ❯

reports, dashboards, AI/ML-models—that help us fuel growth and drive efficiencies within our business. Within that charter, our Data Science practice focuses on building cutting-edge machine learning capabilities that help revolutionize how we leverage data and empower our customers to collect information in a conversational and personalized way. About the Role: As a Machine Learning Engineer at Typeform, your mission will be to design, develop, and deploy scalable machine learning systems that enable Typeform to deliver more personalized and impactful experiences. You will work closely with cross-functional teams to implement ML models, build robust pipelines, and contribute to the innovation of our AI-powered products, including leveraging LLMs … and generative AI. Things you’ll do: Build and deploy scalable ML solutions: Design, train, and deploy machine learning models and workflows with a focus on production-readiness, leveraging tools like Docker Containers, Kubernetes, MLflow, Kafka, and AWS Services. Leverage vector databases and streaming systems: Design and implement solutions with vector databases and Kafka to handle large-scale More ❯

and Data Scientists to define and execute on the future path for our products. Key Responsibilities: Work closely with senior engineers and data scientists to quickly learn and 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 systems, ensuring that models are scalable, reliable, and effective. Actively contribute to refining and improving existing models and systems. If something can be optimized, you're on it-constantly looking for ways to enhance performance. Quickly analyze data and generate insights 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 More ❯

lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an ML Engineer, you’ll work with clients to train ML models to satisfy their business needs. Your work will range from training next-generation AI cybersecurity firewall LLMs to training foundation … to integrate tool-calling into production-serving LLMs. Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems. Ideally you’d have: At least 1-3 years of model training, deployment and maintenance experience in a production environment Strong … skills in NLP, LLMs and deep learning Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get the More ❯

latest large language models combined with our award-winning semantic technology to enable discovery within large volumes of unstructured data. About the Role: We are looking for an ML Engineer to develop our AI/ML infrastructure. This is an opportunity to join a company actively working with the majority of the world's major pharmaceutical companies on projects … models for the processing of large volumes of text-based data Developing/supporting interfaces for interaction with the models Testing and documentation Requirements: Experienced Python developer Experience utilising machine learning libraries such as (in order of importance) TensorFlow, HuggingFace, scikit-learn, PyTorch, Pandas, NumPy, SciPy Experience with AWS (principally EC2, S3, SageMaker) or Azure/GCP equivalents … tested and well documented modular code Understanding of Agile software development process and software management/deployment tools such as pip, git, docker, Terraform, AWS etc. A passion for learning and applying new technologies Additionally, any experience in the following would be advantageous: Experience of designing or using RESTful web services Understanding and experience of deploying code in containers More ❯

The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines into production. We work cross-functionally to shape long-term … Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI Extensive hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch Experience building production-grade machine learning deployments on AWS, Azure, or GCP Experience … communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through ML Preferred Experience working with Databricks & Apache Spark to process large-scale distributed datasets About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly More ❯

team is at the heart of this mission, developing AI-driven solutions that make food logging effortless—just by using a camera! If you're passionate about cutting-edge machine learning, building impactful products, and solving real-world problems, this is the role for you. About the Role We're looking for an Lead Machine Learning Engineer to join our team of ML engineers and data scientists, helping to scale our product to millions of users, and working on some complex technical problems. You'll be tackling a range of challenges that will require analytical thinking and keen instincts , as well as an understanding of our domain and how our users behave. You'll … and iteratively improve model accuracy and efficiency . Work with our platform team and collaborate on hosting, availability and scale challenges. Stay current with the most recent developments in machine learning research , methodologies , and technologies , integrating them seamlessly into our workflow. Solve complex backend problems while collaborating closely with product managers and UX designers to provide a best More ❯

team is at the heart of this mission, developing AI-driven solutions that make food logging effortless—just by using a camera! If you're passionate about cutting-edge machine learning, building impactful products, and solving real-world problems, this is the role for you. About The Role We're looking for an Lead Machine Learning … testing, and iteratively improve model accuracy and efficiency. Work with our platform team and collaborate on hosting, availability and scale challenges Stay current with the most recent developments in machine learning research, methodologies, and technologies, integrating them seamlessly into our workflow. Solve complex backend problems while collaborating closely with product managers and UX designers to provide a best … function Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at ZOE by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. London, England, United Kingdom 4 weeks ago London, England, United Kingdom 1 day ago London, England, United Kingdom 8 months ago London, England, United More ❯

functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI. As an ML Engineer, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising … in professional, non-internship software development - Experience coding in Python, R, Matlab, Java or other modern programming language - Several years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model More ❯

We are looking for a Senior Machine Learning Engineer to join our Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyze, extract and generate knowledge from complex biomedical data such as experimental protocols and from results from several heterogeneous sources, including both publicly available data and proprietary internal data, represented … maintenance. Familiarity with implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture. Experience with graph machine learning (i.e. graph neural networks, graph data science) and practical applications thereof. This is complemented by your experience working with Knowledge Graphs, ideally biological, and a familiarity with More ❯

our Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion's cloud-based automation and AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from … best practices. Collaboration: Work collaboratively with cross-functional teams to integrate research findings into product development. Mentorship: Mentor and guide junior researchers and engineers, fostering a culture of continuous learning and improvement. Publication: Publish research findings in top-tier conferences and journals; represent Autodesk at industry and research events. Requirements Research Expertise: Proven research track record in AI/ More ❯

our Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion’s cloud-based automation and AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from … best practices. Collaboration: Work collaboratively with cross-functional teams to integrate research findings into product development. Mentorship: Mentor and guide junior researchers and engineers, fostering a culture of continuous learning and improvement. Publication: Publish research findings in top-tier conferences and journals; represent Autodesk at industry and research events. Requirements Research Expertise: Proven research track record in AI/ More ❯

create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow. Job Description As a Senior Machine Learning Engineer specialising in Large Language Models (LLMs), you will play a critical role in harnessing the power of advanced NLP technologies to drive innovation and efficiency More ❯

Social network you want to login/join with: Machine Learning Engineer - Deep Learning, london col-narrow-left Client: Location: london, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description: RAPP is looking for a technically sharp, hands-on Data … to work on impactful forecasting and causal AI projects within a fast-moving, agency-style environment. What You'll Be Doing: Designing and building custom forecasting models (XGBoost, deep learning, RL) for real-world retail scenarios Applying causal and graph-based methods to understand and optimise customer behaviour Working across the full stack of data science, from data wrangling … to deployment Operating within a modern MLOps setup (Docker, CI/CD, AWS) What We're Looking For: Strong practical knowledge of deep learning fundamentals - ideally with PyTorch Experience building bespoke models for time series, tabular, image, or text data Hands-on forecasting experience with retail or consumer datasets Skilled in causal inference, graph AI, or reinforcement learning More ❯

Social network you want to login/join with: Machine Learning Engineer - Deep Learning, slough col-narrow-left Client: Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description: RAPP is looking for a technically sharp, hands-on Data … to work on impactful forecasting and causal AI projects within a fast-moving, agency-style environment. What You'll Be Doing: Designing and building custom forecasting models (XGBoost, deep learning, RL) for real-world retail scenarios Applying causal and graph-based methods to understand and optimise customer behaviour Working across the full stack of data science, from data wrangling … to deployment Operating within a modern MLOps setup (Docker, CI/CD, AWS) What We're Looking For: Strong practical knowledge of deep learning fundamentals - ideally with PyTorch Experience building bespoke models for time series, tabular, image, or text data Hands-on forecasting experience with retail or consumer datasets Skilled in causal inference, graph AI, or reinforcement learning More ❯

Contract Data Scientist - Forecasting, Deep Learning, Causal AI (Retail) £600-700/day | 4 Months | Start ASAP | Inside IR35 RAPP is looking for a technically sharp, hands-on Data Scientist to join their agile consulting team supporting high-profile retail clients. This is a 4-month contract with the chance to work on impactful forecasting and causal AI projects … within a fast-moving, agency-style environment. What You'll Be Doing: Designing and building custom forecasting models (XGBoost, deep learning, RL) for real-world retail scenarios Applying causal and graph-based methods to understand and optimise customer behaviour Working across the full stack of data science, from data wrangling to deployment Operating within a modern MLOps setup (Docker … CI/CD, AWS) Contributing to product-facing tooling (bonus if you've used JavaScript/Next.js/TypeScript) What We're Looking For: Strong practical knowledge of deep learning fundamentals - ideally with PyTorch Experience building bespoke models for time series, tabular, image, or text data Hands-on forecasting experience with retail or consumer datasets Skilled in causal inference More ❯