1,301 to 1,325 of 4,741 Machine Learning Jobs in the UK

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 ❯

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 ❯

left to apply End Date: July 6, 2025 (9 days left to apply) job requisition id JR0015 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 ❯

advanced manufacturing-and we're looking for curious, collaborative, and creative minds to join our software team. As a Software Engineer, you'll work side-by-side with developers, machine learning engineers, metallurgists, and process experts to build innovative platforms that power the next generation of metal components. From visualising 3D data to optimising build strategies and material … the impact of your code in the real world. You'll be part of a tight-knit agile team where your ideas matter, your code ships fast, and your learning never stops. What You'll Do: Design and develop platforms for data analysis, build prep, and process optimisation Work across the full dev lifecycle-from user stories to deployment … A collaborative mindset, strong communication skills, and a love for solving hard problems Bonus Points For: Experience with ASP.NET Core, Blazor, WPF, or working with 3D data Knowledge of machine learning, CI/CD, or version control systems Interest in applied engineering and model-driven development Sound like your kind of challenge? Join us-and help shape the More ❯

databases, ensuring data quality, integrity, and security. AI Integration in Healthcare: Assist in the development and implementation of AI solutions tailored to healthcare challenges. Collaborate with data scientists and machine learning engineers to deploy models into production environments. Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations. Research and Innovation: Stay abreast of the latest … data engineering, including experience with ETL processes, data modeling, and database management, as well as SQL. Knowledge of healthcare industry standards, regulations, and data interoperability. Familiarity with AI and machine learning concepts, and a willingness to learn and apply them in a healthcare context. At least 6 Months experience working with Gen AI. Excellent communication and interpersonal skills. More ❯

databases, ensuring data quality, integrity, and security. AI Integration in Healthcare: Assist in the development and implementation of AI solutions tailored to healthcare challenges. Collaborate with data scientists and machine learning engineers to deploy models into production environments. Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations. Research and Innovation: Stay abreast of the latest … data engineering, including experience with ETL processes, data modeling, and database management, as well as SQL. Knowledge of healthcare industry standards, regulations, and data interoperability. Familiarity with AI and machine learning concepts, and a willingness to learn and apply them in a healthcare context. At least 6 Months experience working with Gen AI. Excellent communication and interpersonal skills. More ❯

complex business challenges. Oversee the 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. Lead research … 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 data preprocessing, 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 opportunities in a growing company. International work environment and flat organization. Competitive salary. More ❯

become a key player in developing innovative solutions to enhance video streaming experiences. In this role, you'll build algorithms that detect and correct video defects using cutting-edge machine learning and computer vision techniques, ensuring high-quality video is delivered to millions of users across the globe. You'll be part of a dynamic team that is … next generation of video quality analysis. What you will do: As a Software Development Engineer specializing in Video Quality Analysis, you will create and optimize systems that use deep learning and computer vision to detect and improve video quality. You'll work on developing scalable, real-time solutions that automatically identify defects in video streams, ensuring the best viewing … cross-functional teams to design, implement, and optimize algorithms for real-time video quality analysis and defect detection, using programming languages such as Java , C++ , or C# . Deep Learning & Computer Vision : Develop and refine deep learning models and computer vision techniques to assess and improve video content quality, ensuring they scale efficiently in large distributed systems. Architecture More ❯

deep commercial insight and specialise in Paid Search (PPC), Conversion Rate Optimisation (CRO), and Data Engineering. Responsibilities: Own and shape the data science function, setting standards for excellence in machine learning, optimisation, predictive analytics, and experimentation. Lead high-impact projects across areas like customer segmentation, CLV modelling, bidding optimisation, and advanced measurement techniques. Work closely with marketing specialists … Proficient in Python (core skill), with strong experience in SQL Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong knowledge of statistical analysis, machine learning, forecasting, and operations research techniques. **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by sending your CV to Emily More ❯

deep commercial insight and specialise in Paid Search (PPC), Conversion Rate Optimisation (CRO), and Data Engineering. Responsibilities: Own and shape the data science function, setting standards for excellence in machine learning, optimisation, predictive analytics, and experimentation. Lead high-impact projects across areas like customer segmentation, CLV modelling, bidding optimisation, and advanced measurement techniques. Work closely with marketing specialists … Proficient in Python (core skill), with strong experience in SQL Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong knowledge of statistical analysis, machine learning, forecasting, and operations research techniques. **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by sending your CV to Emily More ❯

site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90–120k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and … the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of a web-based application for Machine Learning workloads. We put strong emphasis on user experience, aesthetics and pixel-perfect design. You will be working closely with the Machine Learning team to understand the underlying … concepts and user flows; however, you are not required or expected to have background in Machine Learning. This is a senior-level role, and we are looking to hire a software engineer with background in product design, UI/UX design, and with a strong sense of aesthetics. We would love to see your recent frontend works! If possible More ❯

site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90–120k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and … the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of a web-based application for Machine Learning workloads. We put strong emphasis on user experience, aesthetics and pixel-perfect design. You will be working closely with the Machine Learning team to understand the underlying … concepts and user flows; however, you are not required or expected to have background in Machine Learning. This is a senior-level role, and we are looking to hire a software engineer with background in product design, UI/UX design, and with a strong sense of aesthetics. We would love to see your recent frontend works! If possible More ❯

site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90–120k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and … the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of a web-based application for Machine Learning workloads. We put strong emphasis on user experience, aesthetics and pixel-perfect design. You will be working closely with the Machine Learning team to understand the underlying … concepts and user flows; however, you are not required or expected to have background in Machine Learning. This is a senior-level role, and we are looking to hire a software engineer with background in product design, UI/UX design, and with a strong sense of aesthetics. We would love to see your recent frontend works! If possible More ❯

Explore AI/ML solutions to tough physics problems in the Defence domain This research team is looking for an experienced engineer or post-doctoral scientist to help them explore the use of modern ML techniques for solving problems across defence related domains such as RF, edge AI and AI security. They work collaboratively within their team as well as … the country. Their work is highly experimental, and it is understood that not all projects succeed, even failed projects contain valuable insights. You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. … for this role.** Requirements: PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods Practical experience applying ML techniques to solve real-world problems Knowledgeable in conducting and publishing (as first author) high-quality research for academic journals Team leadership experience While not required, both a good understanding More ❯

with backgrounds from major tech companies and world-renowned universities like Oxford and Cambridge. This Research Engineering role combines system design, prototyping and development. The systems built will include machine learning, generative AI and applied maths approaches as you solve problems for online self-directed learners. What you’ll need: Proven track record in software development with machine learning and computational mathematics in research-focused environments 5+ years of professional software engineering experience with strong Python expertise Experience building innovative products from concept to deployment (e.g. working as a research engineer on cutting-edge product development) Hands-on experience in architecting and implementing systems that incorporate large language model workflows Strong capability to break down strategic More ❯

with backgrounds from major tech companies and world-renowned universities like Oxford and Cambridge. This Research Engineering role combines system design, prototyping and development. The systems built will include machine learning, generative AI and applied maths approaches as you solve problems for online self-directed learners. What you’ll need: Proven track record in software development with machine learning and computational mathematics in research-focused environments 5+ years of professional software engineering experience with strong Python expertise Experience building innovative products from concept to deployment (e.g. working as a research engineer on cutting-edge product development) Hands-on experience in architecting and implementing systems that incorporate large language model workflows Strong capability to break down strategic More ❯

Senior Applied Scientist, EU Ops Concessions at Amazon The EU Ops Concessions team is looking for a motivated, creative and customer obsessed Snr. Applied Scientist with a strong machine learning background, to develop advanced analytics models (Computer Vision, LLMs, etc.) that improve customer experiences. We are the voice of the customer in Amazon's operations, and we take … models to address business challenges Communicate with various internal stakeholders and external audiences Basic Qualifications PhD Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in Computer Vision modelling and techniques Preferred Qualifications Experience with modeling More ❯

can have equal and unconstrained access to educational experiences on par with Oxford, Cambridge, CalTech, et cetera. We believe that this can be achieved with a new class of learning tools, which combine advances in cognitive science, language models, and datasets. We are building these tools in England. Our first product, Grasp Concepts , enables students to disambiguate and learn … concepts through great online explanations and is deployed with design partners including Imperial College London. Our second product, Grasp Pathways , decomposes learning goals and suggests flexible learning trajectories to reach them, using reputable learning resources like books and lectures, and is in private alpha. An on-demand, online oxbridge-like experience . Team and Funding We've … the best. R&D Engineering at Grasp This is a system design, prototyping, and development role, with a high degree of individual contribution. The systems you build will involve machine learning, generative AI, and applied maths (e.g. graph algorithm) approaches as you solve problems for online self-directed learners. As an individual contributor, you will be expected to More ❯

Engineering perspective being heavily involved in both Pre & Post sales. The team you'd lead are made up of PhD level Engineers who most work in Python to deploy Machine Learning Models. (They also work with Scala & react.js) This team will double over next 12 months. Mid term career progression could see you take on a wider team … commercial communication skills who can lead relationships with commercial stakeholders up to C-Level, distilling the complex into simple business language Knowledge to provide thought leadership in the Cloud & Machine Learning space Although this will be still a fairly heavy hands on element to this role initially, as the team grows and responsibility of the incumbent grows this More ❯

meaningful insights. What You'll Be Doing: As a Data Scientist, your responsibilities will include: Collecting, analyzing, and interpreting large datasets to solve business challenges. Building predictive models and machine learning algorithms to inform product and business decisions. Collaborating with developers, engineers, and product teams to integrate data-driven solutions. Conducting exploratory data analysis and creating dashboards to … You'll Need: 2+ years of experience working in data science or a related field. Proficiency in programming languages like Python, R, or SQL for data manipulation. Experience building machine learning models using libraries like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms like AWS, GCP, or Azure. Strong written and spoken English skills. Bonus Experience: Experience … with big data tools (e.g., Hadoop, Spark) and distributed computing. Knowledge of NLP techniques and libraries. Familiarity with Docker, Kubernetes, and deploying machine learning models in production. Experience with visualization tools like Tableau, Power BI, or D3.js. Understanding of A/B testing, statistical analysis, and experimental design. What You Can Expect from Our Recruitment Process: We'll More ❯

and drive their professional growth in data and analytics • Foster collaboration across the Data & Analytics team and different business stakeholders Strategic Analytics & Insights • Improve and run advanced Python-based machine learning models utilised for prediction of customer engagement • Apply expertise in quantitative analysis and data mining to understand customer behaviour and inform strategy • Guide teams to develop metrics … experience in a similar role • Ideally 2 years in a team leadership role or similar mentorship experience • Strong proficiency in Python and SQL • Good understanding of statistical methods and machine learning techniques with an ability to create both proactive and reactive analytical solutions to cover all aspects of the data function with a view on continuous improvement. • Excellent … communication and visualization skills to present findings to diverse audiences • Proven experience with machine learning models, statistical analysis, and A/B testing • Strong interpersonal skills with experience engaging senior stakeholders • Natural problem-solver with ability to see the bigger picture of business processes • Experience mentoring and developing team members Having a background in financial services would be More ❯

and drive their professional growth in data and analytics • Foster collaboration across the Data & Analytics team and different business stakeholders Strategic Analytics & Insights • Improve and run advanced Python-based machine learning models utilised for prediction of customer engagement • Apply expertise in quantitative analysis and data mining to understand customer behaviour and inform strategy • Guide teams to develop metrics … experience in a similar role • Ideally 2 years in a team leadership role or similar mentorship experience • Strong proficiency in Python and SQL • Good understanding of statistical methods and machine learning techniques with an ability to create both proactive and reactive analytical solutions to cover all aspects of the data function with a view on continuous improvement. • Excellent … communication and visualization skills to present findings to diverse audiences • Proven experience with machine learning models, statistical analysis, and A/B testing • Strong interpersonal skills with experience engaging senior stakeholders • Natural problem-solver with ability to see the bigger picture of business processes • Experience mentoring and developing team members Having a background in financial services would be More ❯

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with … equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark More ❯