26 to 50 of 1,181 Machine Learning Jobs in the UK

Lead Machine Learning Engineer Paying between £100,000-£140,000 + stock options Bristol Office (flexible approach to office time – someone commutable would be ideal) VC Backed AI Start-up – Biotechnology La Fosse have partnered with a cutting-edge Bio-Tech AI Start-up, who are currently hiring … leverage microscopy data and genomics to drive transformative discoveries. As the Lead Machine Learning Engineer, you will be responsible for leading the ML team for creating and implementing the computer vision and other machine learning models for cell prediction. You will also play a crucial role … or AI-bio company, with a focus on taking models from concept to production. Previous experience taking the technical lead of a team of ML engineers. Strong background in computer vision ML models and using modern frameworks for deploying these models. Proficient in Python, and familiar with deep learning more »

Job Title: Senior Machine Learning Engineer Location: UK - fully remote opportunity (teams are based in UK and US) About: A leading tech giant at the forefront of innovation, seamlessly integrating social media and ecommerce to create exceptional user experiences. The mission is to connect the world through cutting … and looking for top-tier talent to join in shaping the future of technology. Position Overview: We are seeking experienced and highly skilled Senior Machine Learning Engineers, including those at Staff and Principal levels, to join a very highly skilled team. This team is dedicated to researching, developing … industry. Responsibilities: Be a hands-on contributor, able to contribute to research direction, as well as code. Lead the design, development, and deployment of machine learning models to enhance recommender systems, search & ranking, and relevance. Innovate and implement cutting-edge marketing strategies to optimize click-through rates (CTR more »

by our dynamic Data team and benefit from talking shop with our other data roles including; Data Scientists, Data Engineers, Analytics Engineers and our Machine Learning Engineer. The person we’re looking for A strong foundation in machine learning theory and practical experience, particularly in NLP … are also looking to push the performance boundaries of our new product as far as possible, so experience and knowledge on techniques like reinforcement learning and domain-specific knowledge in sales will be invaluable. Your responsibilities will include ensuring that our development adheres to industry best practices and integrates … state-of-the-art techniques to tackle complex challenges with innovative solutions. You’ll be responsible for Develop, train and deploy machine learning and AI models, particularly focussing on NLP and language understanding tasks. Work extensively with PyTorch and other machine learning frameworks to build and more »

transformative discoveries. As a Machine Learning Engineer, you will be an integral part of the Machine Learning team, taking the ML models and bringing them into production, working as part of a cross-functional division. They are looking for someone with solid knowledge of ML models … for computer vision and an understanding of modern ML frameworks to deploy these models into the production environment. Requirements 2/3+ years as a Machine Learning Engineer within real-world data environment, working as an end-to-end ML engineer. Solid knowledge of ML models for computer … vision, and an understanding of modern ML frameworks to deploy these models into the production environment. Experience of Python programming, ML frameworks such as PyTorch. Expertise with cloud infrastructure (GCP, AWS or Azure) If you’re interested in this role, please apply through the advert to find out more! Machine more »

the power of cutting-edge machine learning technologies to decode the mysteries hidden within cell culture experiments. You'll be building advanced ML models that seamlessly integrate internal and external data sources, weaving together algorithms that paint a vivid picture of what lies beneath the surface. But it … interpretation of cell culture experimental assay outcomes You’ll be hands on applying and developing artificial intelligence and machine learning (AI/ML) approaches (e.g. classification, clustering, machine learning, deep learning) on our research data sets (e.g. Cell culture, DoE, media formulation, bioprocess parameter optimisation … sources You’ll update and report relevant results to interdisciplinary project teams and stakeholders – a master of knowledge sharing on statistical and AI/ML methodologies You’ll obviously maintain a keen awareness of recent developments in data science and state-of-the-art of AI/ML/DL more »

serves clients in 20 countries across four continents and has 7,000 employees worldwide. Key responsibilities Develop and execute a comprehensive strategy for the ML and Data Science Center of Excellence, aligning with the company's overall business objectives and tech enablement goals. - Build and lead a high-performing, cross … functional team of ML engineers, data scientists, and domain experts, fostering a collaborative and innovative culture. - Evaluate and select the appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges and drive automation across various service lines. - Collaborate closely with stakeholders, including the CTO, CEO … SVP of Legal Services, Product Management, and Development teams, to identify opportunities for ML and LLM integration and drive impactful projects. - Ensure data security, privacy, and compliance with relevant regulations (e.g., GDPR, EU AI legislation) by designing robust data governance frameworks and embedding ethical AI principles into all solutions. - Oversee more »

Machine Learning Engineer at Cerberus Capital Management As a machine learning engineer on our CTS team, you will contribute to the firm’s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment … analysis, and other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate 3rd party solutions and cloud-based tools for client adoption. Cerberus Capital Management (CCM) is a private equity firm with partial or full … closely together with clients to identify business opportunities and create new business value through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize containerized algos more »

Internet of Things, and Software. We are seeking a Python Developer to join our team and play a key role in developing and deploying machine learning models into production. You will leverage your expertise in Python, FastAPI, and cloud platforms (AWS, GCP, Azure) to design, develop, and maintain … for containerization and orchestration of applications. Deploy, monitor, and manage applications on cloud platforms such as AWS, GCP, and Azure. Develop and fine-tune machine learning models, with a focus on state-of-the-art techniques and LLMs. Implement Retrieval-Augmented Generation (RAG) for enhanced information retrieval and … processing. Collaborate with data scientists and other team members to integrate machine learning models into production systems. Stay up-to-date with the latest industry trends and advancements in machine learning and AI technologies. Perform code reviews, mentor junior developers, and contribute to the overall improvement more »

Our client is a leading fintech company dedicated to revolutionizing the financial services industry. They leverage advanced analytics, machine learning, and cutting-edge technology to deliver innovative financial solutions to their clients. Their mission is to make financial services more accessible, efficient, and personalised. Job Description: We are … behalf of our client. This is a hybrid role based in the UK. The ideal candidate will have a strong background in data science, machine learning, and statistical modelling, with a proven track record of driving impactful business outcomes in the fintech space. As a Senior Data Scientist … and collaborate with cross-functional teams to develop and implement advanced analytics solutions. Key Responsibilities: 1. Lead Data Science Projects: Design, develop, and deploy machine learning models and algorithms to solve complex business problems. Manage end-to-end data science projects, from data collection and pre-processing to more »

Our clients in the Pharmaceutical Manufacturing industry are looking for a motivated Machine Learning Operations Engineer to join their UK team. As a Machine Learning Engineer, you will play a crucial role in taking AI models from scientific research to production, ensuring seamless integration and scalability. … skillset of our existing team by sharing best practices, conducting workshops, and fostering a culture of continuous learning. Infrastructure as Code (IaC) with Azure ML and Terraform: Leverage Azure Machine Learning services and Terraform to build scalable and reproducible ML infrastructure. Automate deployment, configuration, and management of ML … Qualifications: 5+ years' experience as a Machine Learning Engineer Proven experience using Azure and Terraform to build, deploy, and manage high-quality ML models Must be well-versed in Infrastructure as Code (IaC) Experience implementing the core principles of ML Ops: Version control, automation, continuous X and model more »

hereYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical … ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery.The Machine … us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty more »

Senior Machine Learning Engineer Paying up to £110,000 Hybrid in London High-performing AI Start-up La Fosse is currently working with a cutting-edge artificial intelligence and cyber security start-up company specialising in AI for binary analysis, who are looking to hire a talented Senior … language model (LLM) binary code embeddings and research new methods using graph-based models for segment classification. Key Responsibilities: Implement state-of-the-art ML techniques and integrate them into our product pipeline. Develop and refine foundational LLM binary code embeddings. Research and innovate new methods using graph-based models … Scipy, and Tensorflow/PyTorch. Extensive understanding of state-of-the-art LLMs and the latest research methods and best practices. Experience in developing ML pipelines and deploying AI models to cloud service providers is preferred. Ideally 3-5 years experience in a similar role. If this role sounds of more »

and Artificial Intelligence Products. You will lead a team of Machine Learning Engineers and Data Scientists that are continually experimenting with new ML/AI techniques and supporting the many Machine Learning models that are already key to Bazaarvoice’s business. You will work closely with … leadership and other teams to ensure the availability of our services, provide a stable and efficient platform, and enable other teams to strategically incorporate ML into their Products. You’re an excellent leader, communicator, innovative and self-motivated, with a positive approach to teamwork. You have a passion for people … years of Engineering Leadership delivering products at scale Hands-on experience with Machine Learning frameworks and algorithms Proven track-record of leading ML-enabled products from idea to delivering value in production Bachelor's Degree in Computer Science or equivalent Experience developing products on Public cloud Hosting platforms more »

week OVERVIEW One of the most established and innovative Machine Learning Research Labs in the UK are hiring for an AI/ML Researcher. This innovation hub sits within one of the world's largest tech & manufacturing brands and is a great career opportunity for an AI Researcher … as an AI/Machine Learning Researcher will include but not be limited to: Work within a strong team of AI/ML Researchers, on prototypes that will ultimately make a huge impact on the business. Explaining key research projects and concepts to internal business stakeholders. Deliver cutting … edge AI/ML resarch work within a strong team to drive innovation within the company. YOUR SKILLS & EXPERIENCE Strong academic background in a relevant field (Statistics, Computer Science, etc.) - PhD background strongly preferred (alongside further post-doc research) Excellent knowledge in a range of AI , machine learning more »

Senior Machine Learning Engineer/AI Consultant Currently looking for multiple Senior Machine Learning Engineer's/Consultants to join a London based AI start-up building Generative AI at scale! *To be considered a strong candidate you will need strong customer facing consulting experience and … skills* In addition to this you will need to have... Strong Python experience. Worked in cross-functional teams combining data science, data engineering, BI, machine learning and product management. … Implement and deploy machine learning models at scale. An understanding of NLP Experience with LLM (Large Language Models) Previous experience product-ionising ML models If successful you can expect... Salary up to £135,000 Equity/share scheme x3 Days onsite & x2 days remote per week Private medical more »

As a Senior Data Scientist at Hartree, you will play a pivotal role in shaping our data strategy and driving the development of advanced machine learning models, optimization and time series forecasting solutions, specifically focused on the European Power Markets. You will collaborate with cross-functional teams to … extract valuable insights. Model Development: Build models for fundamental market drivers, namely power demand, wind/solar/hydro production etc. using cutting-edge machine learning models. Continuously improve these models based on real-time data and feedback from trading activities. Framework Development: Contribute to large scale machine … and time series forecasting. Expertise in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch). Solid understanding of ML and data pipeline architectures and best practices. Experience with big data technologies and distributed computing (e.g., Spark, Hadoop) is a plus. Proficient in SQL and more »

Our esteemed client, a leading hedge fund on a global scale, is currently in search of a Software Engineer with a specialisation in Machine Learning Infrastructure for their London office. This offers an enticing opportunity to work with cutting-edge technologies, focusing on the design and development of … frameworks for machine learning and tools for data science. This position is ideal for an engineer with a background in deploying machine learning models into real-world applications, rather than concentrating solely on model training. This role necessitates substantial proficiency in Kubernetes along with a strong … using Python for production use. Key Requirements: Demonstrated experience of at least 5 years as a Software Engineer, with a track record of deploying ML models into production. Bachelor's degree in Computer Science or a related field. Proficient in core technologies, particularly Kubernetes. Experience working with distributed systems. more »

Machine Learning Engineer - up to £110,000 - Hybrid Working London I am currently partnered with a data-driven technology scale-up who are looking to add experts to the machine learning team! The best-matched machine learning engineer will have the following experience and more »

Machine Learning Scientist Paying up to £110,000 Bristol Office (flexible approach to office time – someone commutable would be ideal) VC Backed AI Start-up – Biotechnology La Fosse have partnered with a cutting edge Bio-Tech AI Start-up, who are currently hiring for a Machine Learning … be pivotal in advancing the development of the AI models, contributing to research, methodology development, data enhancement, and collection. Requirements: Strong educational background in ML or related topic, with a PhD and publications. Strong experience with Python. Cloud infrastructure is beneficial (Ideally GCP but AWS and Azure is fine). … Knowledge of ML libraries (TensorFlow, PyTorch, NumPy, and Pandas etc). Knowledge of Computer Vision. Nice-to-Have Skills or Background: Experience in genomics or bioinformatics research projects in an academic, pharmaceutical, or biotechnology setting. If you’re interested in this role, please apply through the advert to find out more »

domains by applying your technical, analytical, and research skills. You will understand the underlying biology and engineering problems and follow the latest developments in machine learning and classical modelling algorithms to identify and harness the right technologies to solve the problems, improve the existing solutions and deploy them. … improvement and maintenance for industrialised solutions. Keywords: Computational molecular Physics, Structural Biology, Computational Chemistry, Protein Interactions, Protein Design, Molecular Dynamics, Monte Carlo, Enhanced Sampling, Machine Learning, Deep Learning, Statistics, Data Science Responsibilities Design, implement and deliver complex pieces of research in the area of computational molecular physics …/biology. Implement and test pioneering enhanced sampling methods and free energy calculation techniques that leverage and supplement machine learning approaches. Communicate and collaborate with research engineers in a multi-functional team to integrate simulation-based solutions into drug discovery platforms and ensure they are robust, maintainable and more »

At AXA, we're transforming the customer “insurance claim” journey by deploying machine learning models so that we get faster and improved decision making at key interaction points. This role is essential to the Advanced Claims Analytics programme that is driving this change. Specifically, this programme is designed … decision making into the culture and way of working in Claims. It will deliver significant indemnity savings, efficiency benefits and improved customer outcomes using machine learning. As a Data Scientist within the Claims Analytics team, you'll be building end-to-end data science solutions that directly benefit the … events. What you'll be doing: Scope out the business problem and proving value via Exploratory Data Analysis to demonstrate the value of an ML approach. Create and productionise machine learning models using python, ML libraries, and Databricks. Process large scale data from our data lakehouse. Apply MLOps more »

Founding Machine Learning Engineer Perm/full time London office 4 days per week Can offer sponsorship and relocation Up to £200K Significant equity for first joiners A YC-backed start-up in AI safety, is looking for a Machine Learning Engineer to join their founding … multi-instance clusters for data and model parallel training across GPUs/TPUs, preferably using PyTorch and Kubernetes. Proficiency in efficient serving of large machine learning models at scale, including quantisation and distributed computing. General: Keen interest in AI and AI safety Can demonstrate you can work in … call) you will be asked to answer at least one of the below questions: Describe your experience in creating/managing HPC clusters for ML models. What tools did you use? Describe how you have efficiently served large ML models at scale. Highlight any specific techniques or libraries used. Pleas more »

rapidly growing software company of around 20 people based near Oxford & Bicester with an office in White City, London. We are leaders in developing Machine Learning & Digital Twin software for the Aerospace, Defence and Urban Air Mobility sectors. This role is a rare opportunity to join an expanding … D projects where decisions can have a significant impact on project outcomes. You will be responsible for a wide variety of software engineering, including machine learning, digital twins and embedded software in the complete operation of autonomous drones, from logistics, drone setup and testing, mission configuration, launch, asset … of the software team in addition to leading it with your soft skills. This work will include software engineering using C++ on Linux for Machine Learning and Digital Twins, which operate on a range of drone assets, along with HTML5/JavaScript UI work as required. Requirements: You more »

an office in London, and while working there isn't mandatory, everyone is invited to join. Your responsibilities Join us in the role of ML Engineer and play a crucial part in developing our AI-driven knowledge management product. Your responsibilities will include: Contributing to the development of new generative … the DevOps mindset, which asserts "if you build it, you run it". Skills and experiences Must-have Solid computer sense and engineering skills. Machine learning and AI skills are layers on top of other core developer skills, so being a good software engineer is key. Skilled in … deploying machine learning solutions to production. Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. You should be able to cooperate with other engineers, e.g., with the backend engineer for scaling and architecture, with the front-end engineer for user experience, and more »

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 … you'll doTackling real world security problems that affect our customers, building & leveraging massive threat intelligence data, with the help of data science and machine learning, and finally building scalable & performant distributed software that runs on thousands of machines all over the globe. All the while making a … You will work with our global data in excess of 10 million events per second (and growing fast!), and designing and implementing software systems, machine learning platforms, and AI models to leverage the data in detecting and mitigating abusive HTTP L7 layer traffic. Tech stack includes Go, Python more »