1,326 to 1,350 of 4,989 Machine Learning Jobs in the UK

Our client, a deep tech organisation going through rapid growth, urgently require a DevOps Engineer to join their team and work closely with our ML and infra teams to design reliable, reproducible, and efficient build processes at scale. This is a perfect opportunity for someone who is an experience software engineer who is early in their devops career.. In order … scale software compilation across multiple platforms Automating the build process for extensive volumes of Windows and Linux software under various compiler configurations and optimisation settings Close collaboration with our Machine Learning and Engineering teams to ensure reliable, scalable, and efficient build infrastructure that supports our AI model training and development workflows Creating an automated workflow to collect binary More ❯

to apply up to 2 years from the date of receiving their PhD (i.e. PhD degrees must have been awarded May 2023 or later). Experience in AI/ML and scientific programming (preference for python) Familiarity with one or several of the following data modalities: human genetics, gene expression, proteomics Familiarity with the biology of neurodegenerative diseases is a … Biostatistics, Computer Programming, Data Analysis, Databases, Data Management, Data Mining, Data Quality, Data Visualization, Deep Learning, Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis More ❯

team and act as a key bridge between engineering, product, and commercial. What I’m Looking For 8+ years of engineering leadership within B2B SaaS, ideally in AI/ML or data-focused environments. Experience growing teams through start-up to scale-up (Series A/B); time in both early-stage and mature environments is a bonus. Strong technical … Solid grasp of Agile practices, continuous delivery, and high-performing lean teams. People-first leadership style, with a proven ability to build and nurture high-performing teams. Exposure to machine learning, NLP, or financial data products is highly advantageous. Comfortable working in fast-moving, ambiguous environments where both execution and strategic vision matter. Additional Info More ❯

team and act as a key bridge between engineering, product, and commercial. What I’m Looking For 8+ years of engineering leadership within B2B SaaS, ideally in AI/ML or data-focused environments. Experience growing teams through start-up to scale-up (Series A/B); time in both early-stage and mature environments is a bonus. Strong technical … Solid grasp of Agile practices, continuous delivery, and high-performing lean teams. People-first leadership style, with a proven ability to build and nurture high-performing teams. Exposure to machine learning, NLP, or financial data products is highly advantageous. Comfortable working in fast-moving, ambiguous environments where both execution and strategic vision matter. Additional Info More ❯

team and act as a key bridge between engineering, product, and commercial. What I’m Looking For 8+ years of engineering leadership within B2B SaaS, ideally in AI/ML or data-focused environments. Experience growing teams through start-up to scale-up (Series A/B); time in both early-stage and mature environments is a bonus. Strong technical … Solid grasp of Agile practices, continuous delivery, and high-performing lean teams. People-first leadership style, with a proven ability to build and nurture high-performing teams. Exposure to machine learning, NLP, or financial data products is highly advantageous. Comfortable working in fast-moving, ambiguous environments where both execution and strategic vision matter. Additional Info More ❯

skilled Data Scientist for a contract role within national security , working on critical projects that support intelligence operations and threat detection. This is a unique opportunity to apply advanced machine learning and analytics to protect national interests and enhance strategic decision-making. The Role: As a Contract Data Scientist , you will contribute to high-impact security initiatives , analysing … complex datasets to uncover threats and support intelligence-led operations. You will lead research efforts in machine learning, collaborating with security analysts, data engineers, and intelligence specialists to transform prototypes into operational solutions within classified and high-security environments . Key Responsibilities: Lead machine learning research tailored for national security applications. Collaborate with security professionals, intelligence … surveillance, anomaly detection, and adversarial analysis. Ensure compliance with strict national security protocols , maintaining the integrity and confidentiality of sensitive data. Skills & Experience Required: Proven expertise in data science, machine learning, or artificial intelligence for security-related applications. Proficiency in Python, R, SQL , and experience with big data platforms (e.g., Spark, Hadoop) . Ability to drive research , identifying More ❯

WEKA Data Platform, is helping hundreds of the world's leading research organizations and enterprises-including 12 of the Fortune 50-to achieve first-to-market results with AI, machine learning, and high-performance computing. We invite you to join us on this exciting journey. Our Culture WEKA is growing fast! We're looking for smart, dedicated, driven … AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy. WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. … Networking ETH/IB Storage Technologies Cloud Technology - Amazon Web Services (AWS), Microsoft Azure, Oracle Cloud Infrastructure (OCI), or Google Cloud Platform (GCP). Backup and Recovery AI/ML Strong aptitude for learning new technologies and understanding how to utilize them in a customer facing environment. Ability to follow standard engineering principles and practices. Creative approach to problem More ❯

CD tools. Solid understanding of OOP, design patterns, and clean code. Async programming (e.g., asyncio, Celery). Experience with RabbitMQ, Kafka, GraphQL, gRPC, or WebSockets. Background in AI/ML or data-intensive systems. Cloud/architecture certifications (e.g., AWS/Azure Architect, TOGAF). Desirable Skills: Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn. Knowledge of … data science and machine learning concepts and tools. If you have the relevant skills and experience, please apply promptly and we will be in touch to discuss your application further. Please note that due to the volume of applications we receive, it is not possible to provide feedback on all applications so if you have not heard from More ❯

week in office Location: London About our Engineering Team As a business which has AI at its core, we need to have a reliable, scalable and secure real-time ML platform to deliver our product to customers. The Engineering team makes this happen. The team is UK-based, with a significant contingent in London, and is made up of pragmatic … to work across our entire stack building features which deliver AI capabilities to some of the biggest names in the insurance industry. We are developing a modern real-time ML platform using technologies like Python, PyTorch, Ray, k8s (helm + flux), Terraform, Postgres and Flink on AWS. We are very big fans of Infrastructure-as-Code and enjoy Agile practices. … Our team is tackling several big challenges, including: Building a real-time config driven user interface toolbox that seamlessly adapts to diverse customer needs Deploying all changes, including complex machine learning models, reliably to customers within 15 minutes with fully automated tests Build out new exciting product features that broaden our product scope to newer challenges Centralised reporting More ❯

Job ID: Amazon Development Centre (Scotland) Limited We're looking for a Machine Learning Scientist in the Personalization team for our Edinburgh office experienced in generative AI and large models. You will be responsible for developing and disseminating customer-facing personalized recommendation models. This is a hands-on role with global impact working with a team of world … class engineers and scientists across the Edinburgh offices and wider organization. You will work on machine learning models that scale to very large quantities of data, and serve high-scale low-latency recommendations to all customers worldwide. You will embody scientific rigor, designing and executing experiments to demonstrate the technical efficacy and business value of your methods. You … will work alongside a science team to delight customers by aiding in recommendations relevancy, and raise the profile of Amazon as a global leader in machine learning and personalization. Successful candidates will have strong technical ability, focus on customers by applying a customer-first approach, excellent teamwork and communication skills, and a motivation to achieve results in a More ❯

Alexa Job ID: Evi Technologies Limited The Alexa Conversational Modelling and Intelligence org in UK is looking for a Senior Applied Scientist with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of applied and research scientists to enhance existing features and explore new … and external publications. You will mentor and guide junior scientists and contribute to the overall growth and development of the team. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with neural deep learning methods and machine learning - Experience in building machine learning … business application - Experience in applied research - Experience programming in Java, C++, Python or related language - Strong track record of patents and publications. PREFERRED QUALIFICATIONS - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience in building LLMs including SFT, LHF. Posted: April 3, 2024 (Updated 3 days ago More ❯

about patient experience in the US and UK Identifying and using new data sources from around the web, in combination with our proprietary patient experience data Supporting development of ML and NLP models to extract insights from unstructured data Communicating with internal stakeholders to gather requirements, provide updates, and ensure successful project outcomes. Delivering products in the form of reports … you? A fast-paced, friendly, collaborative and flexible working environment Ample opportunities for career development and growth Opportunity to tackle challenging technical problems while gaining hands-on experience with machine learning techniques A diverse and inclusive workplace A great opportunity for career progression Monthly wellbeing allowance Unlimited leave What We’re Looking For: Must have Experience working with More ❯

about patient experience in the US and UK Identifying and using new data sources from around the web, in combination with our proprietary patient experience data Supporting development of ML and NLP models to extract insights from unstructured data Communicating with internal stakeholders to gather requirements, provide updates, and ensure successful project outcomes. Delivering products in the form of reports … you? A fast-paced, friendly, collaborative and flexible working environment Ample opportunities for career development and growth Opportunity to tackle challenging technical problems while gaining hands-on experience with machine learning techniques A diverse and inclusive workplace A great opportunity for career progression Monthly wellbeing allowance Unlimited leave What We’re Looking For: Must have Experience working with More ❯

Help build the world's most advanced reinforcement learning systems at Microsoft AI. We're on a mission to create trustworthy agents capable of autonomous action and decision-making on behalf of our users. As part of our team, you'll help advance state-of-the-art model capabilities by contributing to core systems, infrastructure, and research. We are … responsibilities and can adjust to shifting priorities Be motivated by training capable and safe AI agents and shipping them into the hands of millions of users A background in machine learning is preferred but not required. In this case, candidates must demonstrate they have an ability to quickly learn the subject, and backgrounds in mathematics, competitive programming, and … related domains are a plus. Responsibilities Collaborate with research teams to advance state-of-the-art algorithms for reinforcement learning in LLMs Develop the core systems for adapting reinforcement learning to unprecedented scales and heterogeneous environments. Embody our culture of collaboration, innovation, and excellence. Qualifications Required Qualifications: Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Machine More ❯

as contribute to the growth of the SAP SCM Capability. As part of the role, you will have access to enhance your consulting, functional and technical skills, through Capgemini learning and development, and the latest industry recognised certifications. About our UK SAP Practice Team: Capgemini UK is a leading SAP Integration Partner, helping our clients navigate through complex SAP … well as a solid awareness of the latest SAP capabilities and roadmap. AI and Machine Learning Interest: Passion to stay at the cutting edge of AI and ML advancements in SAP, and leveraging these technologies to drive automation, optimise processes, and deliver intelligent analytics that enhance business performance. Continuous Learning and Development: Commitment to developing your career … seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our More ❯

with CI/CD pipelines. Automation & Scripting: Experience writing scripts in languages such as Bash, Python to automate tasks and streamline operations. Nice to have: Familiarity with AI/ML-driven build automation tools that leverage machine learning algorithms to optimize and predict release pipeline cycles, enhancing efficiency and accuracy across the CI/CD process. Experience with More ❯

Alexa Job ID: Evi Technologies Limited The Alexa Conversational Modelling and Intelligence org in UK is looking for a Senior Applied Scientist with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of applied and research scientists to enhance existing features and explore new … and external publications. You will mentor and guide junior scientists and contribute to the overall growth and development of the team. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with neural deep learning methods and machine learning - Experience in building machine learning … business application - Experience in applied research - Experience programming in Java, C++, Python or related language - Strong track record of patents and publications. PREFERRED QUALIFICATIONS - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience in building LLMs including SFT, LHF. Amazon is an equal opportunities employer. We believe 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. … tool in the market by our customers. The Role As a Junior Human Data Operations Strategist, you will play a critical role in managing and optimizing data annotation and machine learning workflows for our clients. You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high-quality data … role is perfect for individuals with a passion for AI, data operations, and solving real-world problems. Your Responsibilities: Project Leadership - Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams Data Quality Optimization - Ensure the highest standards of data quality by designing and refining annotation processes, auditing More ❯

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimisation opportunities in design, engineering, and systems control. We help our customers fundamentally improve their concepts and designs, transform their engineering processes and drive operational product performance. We do this in some of … PhysicsX is developing a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. The core of this platform is powered by several Machine Learning Python Libraries handling everything from data processing, to deep learning model training, and complex optimisation algorithms. The Libraries team is responsible for designing, developing, and maintaining … those Machine Learning Libraries. As a Software Engineer within the team, you will focus on the underlying engineering that makes our libraries fast, scalable, and a pleasure to use. You are a software craftsperson who champions best practices, ensuring that our entire development lifecycle-from code design to CI/CD-is robust and maintainable. Your work provides More ❯

Key Responsibilities: Deliver end-to-end data science solutions in a consultancy environment Build and deploy custom forecasting models (e.g., time series, XGBoost, deep learning) Implement reinforcement learning techniques for dynamic prediction Apply causal inference and graph AI methods to uncover complex relationships Develop and containerize models using Docker Work within modern CI/CD pipelines to streamline … a data-driven web application using JavaScript/TypeScript and Next.js Required Skills & Experience: Strong experience as a Full Stack Data Scientist Deep expertise in time series forecasting and machine learning (XGBoost, deep learning, reinforcement learning) Practical knowledge of Causal AI and Graph AI methodologies Proficiency in Python for data science and model development Experience with More ❯

yet scientific approach with an emphasis on scalability and risk management. About The Role: Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning. You will be apart of a highly unique research group across Natural Language Processing, Large Learning Models, deep learning, Bayesian & Signal Optimization with the exciting transition … to the world of financial predication through the prism of machine learning. The most exceptional team members combine strong technical skills and a passion for problem-solving with an intense curiosity about financial markets and human behaviour. About You: PhD or PhD candidate in machine learning, computer science, statistics, or a related field. Superb analytical and quantitative More ❯

yet scientific approach with an emphasis on scalability and risk management. About The Role: Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning. You will be apart of a highly unique research group across Natural Language Processing, Large Learning Models, deep learning, Bayesian & Signal Optimization with the exciting transition … to the world of financial predication through the prism of machine learning. The most exceptional team members combine strong technical skills and a passion for problem-solving with an intense curiosity about financial markets and human behaviour. About You: PhD or PhD candidate in machine learning, computer science, statistics, or a related field. Superb analytical and quantitative More ❯

left to apply End Date: June 27, 2025 (7 days left to apply) job requisition id JR0024 What will you be doing day-to-day? Use sophisticated statistical and machine learning techniques to identify new trends and relationships in data. Harvest, wrangle and prototype new data sources internally and external to NewDay to create new value for NewDay … level of documentation to follow internal procedures and standards. Your Skills and Experience ESSENTIAL At least a BSc or higher university degree in a data science related field (e.g. machine learning, statistics, mathematics) Proficiency in statistical data modelling techniques. Proficiency with Python, including experience with statistics/machine learning packages such as scikit-learn, pandas, numpy … and communication. Experience with working with raw datasets and perform data wrangling pre-modelling. Analytical and problem-solving skills. DESIRABLE MSc or PhD in Data Science related field (e.g. Machine Learning, Statistics, Mathematics) Experience within a regulated financial services organization. Ability to present sophisticated findings clearly, adapting the level of detail to the audience. Experience in supporting model More ❯

development opportunities. Working in collaboration across service lines to proactively seek opportunities to generate new business. What we are looking for: Are you someone who thrives on variety, loves learning new things, and enjoys connecting with people? If you can spot inefficiencies in everyday life and are passionate about making improvements, this role is perfect for you! We value … learning. Desirable Exposure to internally built automation tools versus customisation of off the shelf software. Familiarity with PowerBI or other data visualisation products Experience in developing technologies (AI, ML, RPA, etc) What we can offer you: We recognise that our people are our most important assets. That's why we offer a flexible reward and benefits package that will More ❯

work at the bleeding edge of AI for healthcare, translating multimodal, complex and challenging data streams into actionable clinical insights that have a real-world impact. Design and deploy machine learning pipelines focused on multimodal clinical data spanning electronic health records, wearables, clinical images, genomics, etc. Collaborate closely with a cross-functional team to understand requirements, curate datasets … and implement models into production. Stay updated with the latest advancements in foundational machine learning to drive innovation within the company. If you are passionate about the confluence of AI, healthcare, and pioneering technological solutions, we'd love to meet you! Must Have: Advanced degree in a quantitative or engineering discipline such as computer science, engineering, mathematics, computational … biology, bioinformatics, etc., OR equivalent professional work experience. Proven experience in deploying machine learning and deep learning models, preferably in the health domain. Strong programming and algorithmic skills, specifically in Python, C++, or other relevant languages. Familiarity with fundamental concepts of deep learning and transformer-based architectures, including scaling and fine-tuning models over large-scale More ❯