51 to 75 of 407 Machine Learning Engineer Jobs in London

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 ❯

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 ❯

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 ❯

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 ❯

In short As a Senior Machine Learning Engineer at On, you'll play a critical role in the full lifecycle of our machine learning models. Besides being responsible for training, and deploying models, you will spearhead our MLOps initiatives to ensure their seamless and efficient integration and operation in production. This includes championing MLOps best … to optimize performance and reliability. Your Mission Lead the implementation and continuous improvement of our MLOps strategy, establishing best practices for model development, deployment, and monitoring. Creating and training machine learning models to solve specific business problems, such as product recommendations, customer segmentation, and demand forecasting. Implementing such models into production systems to make predictions, drive real-time … and tooling to support efficient and scalable model deployment, including CI/CD pipelines and automated testing. Implement and own Terraform to manage and provision our cloud infrastructure for machine learning operations. Oversee the transition to a real-time streaming architecture for our machine learning applications, ensuring efficient data ingestion, feature engineering, and model serving in More ❯

Get AI-powered advice on this job and more exclusive features. DigitalGenius is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest ecommerce customer service operations in the world, as well as high-growth companies. We're a dedicated team of thoughtful and hard-working people committed to transforming … service through the application of artificial intelligence. Role The continuous improvement of our products and the range of innovation projects we are committed to require us to scale our Machine Learning team. We are searching for a Machine Learning Engineer to join our core AI Team. This is a highly technical role for an outstanding … individual who can take ownership of projects and start new initiatives. As a Machine Learning Engineer at DigitalGenius, you will be responsible for building and improving our Natural Language Processing, Image Recognition, and Recommendation solutions to maximise the product's performance for our customers. Your time will be divided between improving the core product, researching and developing More ❯

known tech businesses and educational institutions on the globe. They’re working on cutting edge technologies that are revolutionizing the AI landscape. Now is the time for another ML Engineer to come on board and be a key part of the UK team. This role is fully remote, but it would be good if you are open to travelling … to Silicon Valley 1-2 times per year for collaboration. The Job You’ll be a talented, motivated or aspiring ML Engineer with either a top Uni degree in Maths/CS or 6-18 months experience in a native AI start up. As a key UK hire you will work on training next gen models alongside an established … US team. Required Skills and Experience: Master’s Degree in Computer Science, Machine Learning, Mathematics, or a related field, with a strong focus on NLP or ML. Proficiency in MLOps best practices, including model versioning, CI/CD pipelines, containerization, and cloud deployment for large-scale models. Solid programming skills in Python and familiarity with machine learning More ❯

Contract Opportunity: Senior AWS Machine Learning Data Engineer Location: London Duration: 6 Months (Extension Possible) Start Date: ASAP Rate: Up to £600 a day (Inisde IR35) Are you a cloud-native data engineer with a passion for building intelligent systems? I'm looking for a Senior AWS Machine Learning Data Engineer to a … predictive analytics to real-time personalization. ? What You'll Do: Architect and build scalable, secure, and maintainable data pipelines on AWS (Glue, Lambda, Step Functions, S3, Redshift, etc.) Operationalize machine learning models in production environments using SageMaker or custom deployment frameworks Automate and optimize ETL/ELT processes for structured and unstructured data Integrate CI/CD and … etc.) Strong Python and SQL skills; experience with PySpark a bonus Familiarity with containerization (Docker), orchestration (Airflow, Step Functions), and infrastructure as code (Terraform/CDK) Solid understanding of machine learning model lifecycle and best practices for deployment at scale Excellent communication skills and the ability to work independently in a remote environment ? Bonus Points: Experience with real More ❯

Team for Career Site Technology In short As a Senior Machine Learning Engineer at On, you’ll play a critical role in the full lifecycle of our machine learning models. Besides being responsible for training and deploying models, you will spearhead our MLOps initiatives to ensure their seamless and efficient integration and operation in production. … to optimize performance and reliability. Your mission Lead the implementation and continuous improvement of our MLOps strategy, establishing best practices for model development, deployment, and monitoring. Create and train machine learning models to solve specific business problems, such as product recommendations, customer segmentation, and demand forecasting. Implement such models into production systems to make predictions, drive real-time … and tooling to support efficient and scalable model deployment, including CI/CD pipelines and automated testing. Implement and own Terraform to manage and provision our cloud infrastructure for machine learning operations. Oversee the transition to a real-time streaming architecture for our machine learning applications, ensuring efficient data ingestion, feature engineering, and model serving in More ❯

next generation of applications. This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. … fastest growing companies in our space, and consistently rated as the best tool in the market by our customers. We have big plans ahead and are looking for a Machine Learning Engineer to join us our ML team. Role The Role We are looking for an experienced Machine Learning Engineer to help us conduct … a proven track record of relevant publications and previous experience managing applied research teams. Requirements for the role include: Passion for solving ML problems- Strong experience in Python and machine learning libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai, and Keras- Strong experience in mathematical programming, algorithmic problem solving, and applied machine learning What We Offer - Competitive More ❯

to solve complex business challenges End-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects Drive data-driven decision-making through advanced analytics and visualization techniques Ensure the security, scalability, and efficiency of AI solutions Research efforts … to explore and integrate cutting-edge AI techniques Requirements Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, or a related field Proven experience as an AI engineer or data scientist, with a track record of leading successful AI projects Proficiency in AI and machine learning frameworks and programming languages (e.g., Python) Strong expertise in … feature engineering, and model evaluation Excellent problem-solving and critical-thinking skills Effective leadership, communication, and team management abilities A passion for staying at the forefront of AI and machine learning advancements Benefits Fast moving, challenging and unique business problems Attractive remuneration and performance incentives Strong learning and development plans for your career growth Great career development More ❯

DigitalGenius is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest ecommerce customer service operations in the world, as well as high-growth companies. We’re a dedicated team of thoughtful and hard-working people committed to transforming customer service through the application of artificial intelligence. Role The continuous … improvement of our products and the range of innovation projects we are committed to require us to scale our Machine Learning team. We are searching for a Machine Learning Engineer to join our core AI Team. This is a highly technical role for an outstanding individual who can take ownership of projects and start new … initiatives. As a Machine Learning Engineer at DigitalGenius, you will be responsible for building and improving our Natural Language Processing, Image Recognition, and Recommendation solutions to maximise the product’s performance for our customers. Your time will be divided between improving the core product, researching and developing new ML applications and working closely with our clients. This More ❯