351 to 375 of 2,229 Machine Learning Jobs in England

critical public sector and defence organisations. As part of our team, you'll leverage technologies like Palantir, Tableau, and cloud platforms (AWS, Azure) to build scalable data infrastructure, develop machine learning models, and create robust solutions that enhance public service delivery. Working in classified environments, you'll tackle complex challenges using tools like Hadoop, Spark, and modern visualisation … Implement data security and governance frameworks Build and maintain data APIs and services Analytics and Data Science Focus: Translate business problems into data queries and solutions Develop and deploy machine learning models Create advanced analytics solutions Provide insights through data visualization and reporting Design and implement A/B tests and experiments Collaborate with stakeholders to understand data … business transformation programmes Designing and implementing data lakes and warehouses using cloud technologies Creating automated data pipelines for continuous data integration Implementing data governance and security frameworks Building scalable machine learning infrastructure Collaborating with multiple departments, stakeholders, and external vendors Skills, Knowledge and Expertise We work predominantly within the UK Defence and Public Sectors so experience within those More ❯

critical public sector and defence organisations. As part of our team, you'll leverage technologies like Palantir, Tableau, and cloud platforms (AWS, Azure) to build scalable data infrastructure, develop machine learning models, and create robust solutions that enhance public service delivery. Working in classified environments, you'll tackle complex challenges using tools like Hadoop, Spark, and modern visualisation … Implement data security and governance frameworks Build and maintain data APIs and services Analytics and Data Science Focus: Translate business problems into data queries and solutions Develop and deploy machine learning models Create advanced analytics solutions Provide insights through data visualization and reporting Design and implement A/B tests and experiments Collaborate with stakeholders to understand data … business transformation programmes Designing and implementing data lakes and warehouses using cloud technologies Creating automated data pipelines for continuous data integration Implementing data governance and security frameworks Building scalable machine learning infrastructure Collaborating with multiple departments, stakeholders, and external vendors Skills, Knowledge and Expertise We work predominantly within the UK Defence and Public Sectors so experience within those More ❯

Efficient, fast and cost-effective access to data at large scale is key to tackle the hardest problems in AD/ADAS, from developing the Machine Learning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by identifying rare and interesting real-world driving situations. The data ecosystem … developed by the London team is a key building block for developing and testing modern AD/ADAS products that will impact millions of customers. Our ML and Data pipelines are built on-top of the open-source Flyte orchestration framework and are deployed to AWS. Pipeline code is written in Python. We use SQS and Kafka to automate data … Vision and Machine Learning engineers on high-impact projects and innovate new solutions to problems in the self-driving space Understand the complex data requirements of modern ML development and tailor our data ecosystem to these needs Build efficient data pipelines for ingestion from the vehicle fleet Work on distributed systems that serve,process and transform large quantities More ❯

playing a key role in automating and optimising our Holiday pricing system. This is an exciting opportunity for a data-driven professional to shape strategic decisions using statistical modelling, machine learning, and operations research techniques. With a strong emphasis on business impact, you’ll work collaboratively across departments to transform data into clear, actionable insights that power better … outcomes. Your Opportunity: Apply advanced statistical and machine learning methods to complex business problems Build and maintain decision science algorithms to support commercial strategies Deliver compelling insights to stakeholders, clearly communicating technical outputs Ensure data quality and integrity throughout all analysis projects Document processes to ensure replicability and long-term use Provide technical guidance to peers and junior … business KPIs including EBITDA performance Embed data at the heart of decision-making processes across the organisation What We’d Like You to Bring: Strong proficiency in statistical analysis, machine learning, and predictive modelling Advanced knowledge of programming tools such as Python, R, and Microsoft SQL Proven ability to translate complex data into meaningful business recommendations Experience managing More ❯

Graduate Data Scientist Must have 2:1 or higher in Computer Science, Data Science, AI degree, or related field.Must have covered Machine learning and AI within degree. West Malling - £30,000 – INTERVIEWING NOW FOR IMMEDIATE START! Join a well-established and expanding team within the financial services industry and apply your data science expertise in a real-world … to make a swift contribution by crafting and implementing sophisticated models that shape key organisational strategies. Your Responsibilities Will Include: Designing and maintaining reliable, well-structured data workflows Creating machine learning solutions to assist with strategic choices Investigating the use of AI to enhance operational performance Partnering with data professionals on one-off analytical initiatives Communicating findings clearly … business stakeholders Ideal Candidate Profile: A 2:1 degree or higher in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline Strong grasp of statistical methods and machine learning techniques Confident in using Python and SQL for data tasks Inquisitive, self-driven, and eager to tackle challenges proactively Effective communicator and enthusiastic team player Additional Assets More ❯

analytics team using a number of big data technologies to produce complex behavioural models, customer uptake product analysis and new product innovation. Provide data driven analysis via statistical, quantitative, machine learning, programmatic and heuristic methods. Relate statistical and other analytical results to real world problems and explain the results to non-technical clients and colleagues. Heavy use of … abilities but also have what it takes to discern the hidden patterns and signals within the markets. Company: OPUS (Rec.) Qualifications: Useful skills to possess: Commercial data science experience Machine learning SQL Msc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or Engineering Creating customer segmentation models knowledge of SAS Data Mining More ❯

a new Lead Data Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such … data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. Mentor and guide junior … with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such More ❯

use global data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. You’ll leverage … comprehensive models you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue. Responsibilities: Scoping, developing, and implementing machine learning or rule-based models following best practice, to banking model governance standards Using your strong knowledge of SQL and Python plus quantitative skills to define features that … bonus) Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems Proven ability to create polished presentations and effectively communicate insights to customers with attention to detail Have extensive multi-tasking and prioritisation skills. Needs to excel in fast More ❯

use global data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. You’ll leverage … comprehensive models you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue. Responsibilities: Scoping, developing, and implementing machine learning or rule-based models following best practice, to banking model governance standards Using your strong knowledge of SQL and Python plus quantitative skills to define features that … bonus) Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems Proven ability to create polished presentations and effectively communicate insights to customers with attention to detail Have extensive multi-tasking and prioritisation skills. Needs to excel in fast More ❯

use global data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. You’ll leverage … comprehensive models you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue. Responsibilities: Scoping, developing, and implementing machine learning or rule-based models following best practice, to banking model governance standards Using your strong knowledge of SQL and Python plus quantitative skills to define features that … bonus) Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems Proven ability to create polished presentations and effectively communicate insights to customers with attention to detail Have extensive multi-tasking and prioritisation skills. Needs to excel in fast More ❯

transformation. With bold investment in pricing, data, and technology, we're building a new Retail Price Optimisation team to redefine how we make pricing decisions. By combining advanced analytics, machine learning, rich data, and modern cloud infrastructure, we aim to unlock faster, smarter, and fairer pricing - creating real impact for both our customers and the business. About the … Efficient Frontier modelling and customer outcome simulations, to identify the optimal balance between volume, price, and contribution. Innovation and Advanced Analytics: Champion continuous improvement by introducing advanced analytics techniques, machine learning approaches, and modern pricing tools. Collaboration and Strategic Support: Collaborate across teams and support strategic initiatives, working closely with the Motor Risk Pricing team to align optimisation … priorities independently in a fast-paced environment. Nice-to-have Familiarity with pricing/modelling software: e.g. Emblem, Radar, or Earnix Experience in pricing optimisation and/or applying machine learning and operations research techniques to pricing problems Experience with cloud platforms (e.g. AWS/GCP/Azure) This role will be based in our London office in More ❯

presence, is seeking a Quantitative Researcher to join their London office. This is a unique opportunity to work alongside world-class traders, technologists, and researchers to develop cutting-edge machine learning strategies. Responsibilities: Conduct advanced research to develop predictive models and high-frequency trading strategies. Apply statistical analysis, machine learning techniques, and mathematical modeling to large … Solid background in data analysis, statistical modeling, and numerical methods. Proven ability to work with large datasets and develop innovative solutions to complex problems. Demonstrated interest or experience in machine learning applied to real-world problems. Prior exposure to quantitative finance or trading (e.g., internships or research collaborations) is highly advantageous. Ideal Candidate: Currently working as a postdoctoral More ❯

We're looking to hire a Head of Data Science to build out and lead the data science capabilities across the organisation. You'll have a background in analytics, machine learning, and leading data teams. You'll be joining the company at an exciting time, working to build out a data team to help drive the company's … a team of data scientists and analysts Developing predictive models to improve patient outcomes and operational efficiency Creating data pipelines and architectures to handle sensitive healthcare information securely Implementing machine learning solutions to personalize healthcare experiences Analyzing large datasets to identify trends and opportunities for service improvement Collaborating with product and engineering teams to integrate data insights into … Advanced degree in Data Science, Statistics, Computer Science, or related field 5+ years experience in data science with at least 2 years in a leadership role Strong background in machine learning algorithms and statistical modeling Experience working with healthcare data and understanding of healthcare analytics Proficiency in Python, R, or similar data science programming languages Knowledge of big More ❯

Signal is looking for a specialist in Information Retrieval, Natural Language Processing or Machine Learning who can help develop the technology needed to drive our new information service. Signal is creating a product that allows our clients to receive a feed of information based on very specific and complex requirements (e.g. "All the news related to IPOs of … team of 15 people from diverse functional backgrounds (mainly developers and researchers) that work closely together to bring this project forward. We combine technology from several research fields, including machine learning; natural language processing; and information retrieval. We also work in close collaboration with several universities and we encourage the publication of research results from the team in … our fast-paced multi-disciplinary environment. Company: Signal Qualifications: Essential skills and qualifications: MSc or PhD in a field related to Text Analytics (e.g. natural language processing, information retrieval, machine learning or similar), or equivalent commercial experience; Detailed knowledge of one or more of the following fields: Entity Recognition and Disambiguation Concept/Topic Extraction Document summarization Trend More ❯

search page? This is a unique opportunity that combines the ability to build exciting, new user experiences for Amazon's customers, with the opportunity to work with Big Data, Machine Learning, and other advanced techniques to provide the best personalized experience for hundreds of millions of Amazon's customers. Key job responsibilities As a Software Development Engineer, you … will be responsible for designing, developing, testing, and deploying large-scale data mining solutions, distributed machine learning systems, and/or modern client experiences across webpages, mobile applications, and other shopping mediums. You will collaborate closely with teams of software engineers, applied machine learning scientists, product managers, user interface designers, and others in order to influence More ❯

London) Limited Amazon is looking for talented Postdoctoral Scientists to join our team for a one-year, full-time research position. Postdoctoral Scientists will innovate in key areas of machine learning, natural language processing, computer vision, automated reasoning, robotics, or quantum technologies. As part of the Rufus Features Science team in London, the postdoc will work on shaping … attribute extraction, price comparison, review analysis, and specification matching). We experiment and innovate relentlessly. Science is core in our offering to shoppers, advertisers and customers. Our scientists apply machine learning, optimization, causal modeling and game theory at scale to enhance the customer experience, help advertisers reach relevant audiences, and support brand building. We are seeking talented scientists … conversational shopping systems Publish research findings in top-tier conferences and journals Mentor junior researchers and contribute to the team's scientific direction BASIC QUALIFICATIONS PhD in Computer Science, Machine Learning, Information Retrieval or related field Strong publication record in NLP, Information Retrieval, or Conversational AI Experience with large language models and retrieval-augmented generation Research background in More ❯

a new Lead Data Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of projects across areas such as customer … data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. Mentor and guide junior … science team and its role within the wider business. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such More ❯

Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition … analyses and algorithms, to facilitate internal decision making, and support submissions of candidate drug and associated companion diagnostics packages. You will provide technical expertise in data science and (predictive) machine learning/AI as well as domain knowledge in biology and/or medicine to identify opportunities for influencing internal decision making as well as discussions on white … and basic familiarity working with clinical data in a clinical trial (GxP) setting. Strong knowledge and understanding of (multivariate implementations of) statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Familiarity with statistical and analytical More ❯

Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition … analyses and algorithms, to facilitate internal decision making, and support submissions of candidate drug and associated companion diagnostics packages. You will provide technical expertise in data science and (predictive) machine learning/AI as well as domain knowledge in biology and/or medicine to identify opportunities for influencing internal decision making as well as discussions on white … and basic familiarity working with clinical data in a clinical trial (GxP) setting. Strong knowledge and understanding of (multivariate implementations of) statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Familiarity with statistical and analytical More ❯

developing innovative prototypes using world-class cloud and open-source technologies. We've helped customers by using image recognition to find missing persons, Artificial Intelligence to optimise rideshares, and Machine Learning to grade exam answers. We are looking for a Software Development Engineer to join the team. Key job responsibilities As a Software Development Engineer, you will; Design … and delivering projects in less time than you thought possible. Get hands-on with a range of technologies and practice a range of disciplines: back-end, front-end, DevOps, machine learning, data science, data architecture. We are curious generalists who don't pigeon-hole ourselves as particular "flavours" of engineer and never say "that's not my job … internal training, including instructor-led courses and talks from experts. This will give you the opportunity to become an AWS expert, gaining valuable expertise in AWS services used in Machine Learning, IoT, image recognition, chat bots, and Big Data. We will provide the environment and support to learn any new tools, libraries or frameworks. About the team About More ❯

paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment … stack requires a simulator that is both highly realistic and highly descriptive. Our approach to simulation brings together a combination of classical simulation techniques with cutting edge developments in Machine learning to represent the real world in high fidelity at scale. You'll be managing a multi disciplinary team and working closely with other leaders from across robotics … machine learning development and data to ensure the quality and efficiency of the simulation platform and deliver an effective evaluation and development platform. Challenges you will own: Help define and drive the simulation roadmap to deliver on company goals and priorities Lead technical discussions and guide technical direction where needed Set effective KPIs and metrics Build resilient and More ❯

business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions. We self-serve with all deployment and monitoring, without a separate machine-learning-engineering team. How you'll impact those objectives Learn the domain of products that Lendable serves, understanding the data that informs strategy and risk modelling is essential … the wider team, learn from and contribute to the body of knowledge. What we're looking for Experience using Python and SQL Strong proficiency with PyData stack Knowledge of machine learning techniques Confident communicator and contributes effectively within a team environment Self driven and willing to lead on projects/new initiatives Nice to Have Interest in machine learning engineering Interest in data engineering Prior experience with credit risk modelling Prior experience with use of LLMs for document question answering The interview process For this role we'd expect: A phone call with one of the team An exercise to complete in your own time Onsite Interview + Discuss the exercise you completed + Meet the More ❯

domains. They conduct pioneering research, publishing papers and releasing proof-of-concept software and hardware systems. They are seeking a versatile scientist to join the team. They use modern machine learning/data science techniques and algorithms to solve these challenging problems. They work in a variety of areas including radar, communications, electronic warfare, and AI itself. The … domain knowledge of the problem areas is not required, but a good general background in Physics is. Requirements: PhD in a STEM subject which has provided exposure to modern machine learning/data science techniques Strong and holistic background in Physics Confident communicator prepared to present work at academic conferences and write formal papers for publication Fluency in … Python for Machine Learning development You will be working in well appointed offices in central London alongside other high achieving academics. Your work will have tangible results and part of your job will be to ensure successful transfer to industrial partners. As a highly research orientated organisation, hybrid working is the norm, with only 1-2 days per More ❯

our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or … As Data Scientists as Stripe, it's our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics. Who you are We're looking for someone who meets the minimum requirements to be considered … science/quantitative modeling experience Proficiency in SQL and a computing language such as Python or R Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation Experience in working with cross-functional teams to deliver results Ability to communicate results clearly and a More ❯

you will lead the development and implementation of cutting-edge AI strategies that transform our clients' operations and competitive edge. In this critical role, you'll leverage AI and machine learning technologies to solve complex challenges, enhancing efficiency, innovation, and decision-making across the client spectrum. Key Responsibilities: 1. AI Strategy Development & Implementation: Craft and execute advanced AI … the market. 2. Solution Design & Innovation: Design AI-based solutions for critical functions such as R&D, patient engagement, supply chain optimization, and operational efficiency, utilizing the latest in machine learning, natural language processing, and predictive analytics. 3. Technology Integration: Seamlessly integrate AI solutions with existing enterprise systems and platforms, ensuring robust data analytics capabilities and operational effectiveness. … technologies, addressing cultural and operational shifts required for transformation. Qualifications: - Advanced degree in Computer Science, Data Science, AI, or related field. - Minimum of 10 years' experience in AI and machine learning, with a focus on the Pharmaceutical and MedTech industries. - Proven track record in developing and deploying AI solutions that drive business value. - Strong understanding of AI technologies More ❯