1 to 25 of 400 Remote Machine Learning Jobs in the UK excluding London

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial … A FTSE 100 retail client are on the look for a Data Scientist/Machine Learning Engineer to join their data science function to drive cutting-edge ML technology across the business. Machine Learning Engineer, key skills: Significant experience working as a Data Scientist/Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem … for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art More ❯

This role is ideal for someone who thrives at the intersection of software engineering and applied machine learning, and who is passionate about building scalable, production-grade ML systems that deliver measurable business impact. You will work closely with data scientists, software engineers, and product teams to design, develop, and deploy machine learning solutions across a … strong emphasis is placed on applying machine learning science to real-world problems, particularly in scientific and R&D contexts. Key Responsibilities Design, build, and maintain robust ML pipelines and services using modern engineering practices (CI/CD, testing, observability). Collaborate with cross-functional teams to translate business problems into ML solutions. Develop and deploy models for … tasks such as classification, regression, recommendation, and natural language processing. Optimise model performance and ensure scalability and reliability in production environments. Contribute to the design of ML system architecture and data infrastructure. Apply machine learning science to complex, real-world problems in scientific and R&D domains, including experimentation, simulation, and lab automation. Mentor junior engineers and data More ❯

challenges. Machine Learning supports all aspects of Operations, from workforce planning, to customer support experience, to enabling teams to work effectively and efficiently. As a Senior Lead ML Scientist, you'll be on of the most senior Individual Contributors (IC) in the organisation, giving you a real opportunity to lead us into an exciting new phase of optimising … world-class support experience for over 9 million customers across the UK, and beyond as we continue to grow. You'll provide key technical leadership and ship highly impactful ML-based solutions. You'll be empowered to work across the collective identifying the most impactful areas and pushing solution development forward while mentoring and levelling up less experienced ML practitioners. … You'll also impact how people across Monzo use ML tools to improve customer outcomes, including LLMs, which have their heaviest use within the Operations team. Machine Learning Scientists at Monzo work end to end, so you'll have the opportunity to collaborate across not only the data disciple, but with cross-functional squads, to deliver real-time More ❯

productive, and driving our mission to deliver targeted insurance solutions to our customers. We are partnering to incorporate analytics into every aspect of the enterprise. We are avid about learning new ways to get the most value from our massive data resources and leading-edge technology. We are committed to building an inclusive and diverse team where everyone has … we can better serve our diverse customer needs. This role is responsible for leading the use of data to make decisions. This includes: the development and execution of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new … data (both internal and external) that improves our modeling and machine learning results (and ultimately our business decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. This role will also manage projects of medium complexity. Job Description Key responsibilities: Uses best practices to develop More ❯

Machine Learnig Engineer Hybrid Working - UK Wide - 1 day a quarter on site. Financial Services Lorien's leading banking client is looking for a Machine Learning Engineer to join the growing data science and AI team. You'll play a key role in designing, developing, and deploying scalable machine learning solutions using Python and Amazon … of 1 day a week on site. Key Responsibilities Design and implement machine learning models for classification, regression, and forecasting tasks. Build and manage end-to-end ML pipelines using Amazon SageMaker . Collaborate with data scientists, engineers, and product teams to integrate ML solutions into production systems. Optimise model performance and scalability. Monitor and maintain deployed models … ensuring reliability and accuracy. Stay up-to-date with the latest ML research and tools. Required Skills & Experience Strong proficiency in Python and its ML/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch). Hands-on experience with Amazon SageMaker , including training, tuning, and deploying models. Solid understanding of machine learning algorithms and statistical methods. More ❯

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data … remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that can read, understand, and structure … world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights. ⚙ Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production. 📈 Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical More ❯

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data … remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that can read, understand, and structure … world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights. ⚙ Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production. 📈 Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical More ❯

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data … remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that can read, understand, and structure … world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights. ⚙ Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production. 📈 Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical More ❯

for our recommender systems and search algorithms,building the core infrastructure that powers millions of meaningful connections. Working in theSearch & Match domain, you willbe focusing on deploying and scaling machine learning models, particularly large language models (LLMs). You will collaborate with data scientists to make sure our models are efficient and can be properly optimized for cost … love to hear from you! You will play a vital role as we reimagine the labour market to make it work for everybody. Your responsibilities: Collaborate with data scientists, ML Engineers, and backend engineers within an Agile environment Deploy and scale ML models, particularly large language models (LLMs) Build and maintain scalable pipelines and services to support real-time ML … improve recommender systems Build and work with modern API and microservices architectures Qualifications Strong foundation in Python Experience with machine learning, familiar with Huggingface, Pytorch, and similar ML tools and packages Familiarity with deploying and scaling ML models in the cloud, particularly with AWS and SageMaker Understanding of DevOps processes and tools: CI/CD, Docker, Terraform, and More ❯

We’re Hiring: Data Scientist/Machine Learning Engineer Location: Sheffield/London (hybrid) Employment Type: Contract We are seeking a highly skilled Data Scientist/Machine Learning Engineer to join our team. This role involves working with large datasets, applying advanced analytics, and building predictive models to drive actionable business insights. Responsibilities: Preprocess structured and … include all relevant information for analytic systems Process, cleanse, and validate the integrity of data Analyze large volumes of data to identify patterns and solutions Develop predictive systems and machine learning algorithms Present analytical results clearly to stakeholders Propose solutions and strategies for business challenges Perform data mining and extract usable insights from multiple data sources Use machine … stack (VMs, middleware like IIS/Apache, hypervisors, databases, etc.) and OTLP formatting/structuring Ability to correlate streaming OLTP data from multiple components and generate actionable insights using ML models Strong analytical and problem-solving skills Experience with feature selection, classifier creation, and optimization More ❯

We’re Hiring: Data Scientist/Machine Learning Engineer Location: Sheffield/London (hybrid) Employment Type: Contract We are seeking a highly skilled Data Scientist/Machine Learning Engineer to join our team. This role involves working with large datasets, applying advanced analytics, and building predictive models to drive actionable business insights. Responsibilities: Preprocess structured and … include all relevant information for analytic systems Process, cleanse, and validate the integrity of data Analyze large volumes of data to identify patterns and solutions Develop predictive systems and machine learning algorithms Present analytical results clearly to stakeholders Propose solutions and strategies for business challenges Perform data mining and extract usable insights from multiple data sources Use machine … stack (VMs, middleware like IIS/Apache, hypervisors, databases, etc.) and OTLP formatting/structuring Ability to correlate streaming OLTP data from multiple components and generate actionable insights using ML models Strong analytical and problem-solving skills Experience with feature selection, classifier creation, and optimization More ❯

We’re Hiring: Data Scientist/Machine Learning Engineer Location: Sheffield/London (hybrid) Employment Type: Contract We are seeking a highly skilled Data Scientist/Machine Learning Engineer to join our team. This role involves working with large datasets, applying advanced analytics, and building predictive models to drive actionable business insights. Responsibilities: Preprocess structured and … include all relevant information for analytic systems Process, cleanse, and validate the integrity of data Analyze large volumes of data to identify patterns and solutions Develop predictive systems and machine learning algorithms Present analytical results clearly to stakeholders Propose solutions and strategies for business challenges Perform data mining and extract usable insights from multiple data sources Use machine … stack (VMs, middleware like IIS/Apache, hypervisors, databases, etc.) and OTLP formatting/structuring Ability to correlate streaming OLTP data from multiple components and generate actionable insights using ML models Strong analytical and problem-solving skills Experience with feature selection, classifier creation, and optimization More ❯

New Senior Digital FPGA Engineer - IP/Machine Learning in job available in Cambridge, Cambridgeshire Cambridge based business in the technology hub of the UK Rare opportunity to be part of a leading Machine Learning/AI technology business Fantastic benefits package and salaries on offer, including hybrid working (3 days on site, 2 at home … A leading machine learning business involved in developing incredible financial industry technology are seeking skilled Senior Digital Design and FPGA Engineers to join their HQ in Cambridge. This company offers fantastic benefits, an enjoyable work culture and a real challenge, with exciting investment into new innovation. As a Senior Digital FPGA Engineer you will develop FPGA's using … SystemVerilog. You'll work closely with software and machine learning experts to help build low-latency/high-throughput applications. What skills and experience is required: FPGA Design, development and testing experience Previous experience in using SystemVerilog, VHDL and/or Verilog Software skills using C/C++ or Python Exposure to Quartus and/or Vivado Any More ❯

Role Title: Data Scientist ML Engineer Duration: contract to run until 28/11/2025 Location: Birmingham/Sheffield, Hybrid 2-3 days onsite Rate: TBC Key Skills/requirements Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data … to be used for analysis. Analyzing large amounts of information to find patterns and solutions. Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges. Data mining or extracting usable data from valuable data sources. Using machine learning tools to select features, create and optimize … is an added advantage. Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. Machine Learning - good knowledge of machine learning methods like Decision-making, k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. Strong Math Skills (Multivariable Calculus and Linear Algebra More ❯

and Lloyds Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing, retail and machine learning teams to provide insight across the business Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market Identify and create solutions that leverage vast data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the … Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion or retention Adapt known machine learning techniques such as GBMs to create solutions/models that are state-of-the-art and go beyond business requirements Work collaboratively with other teams to identify More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed … your working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present … organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯