26 to 50 of 1,070 Machine Learning Jobs in the UK

drive strategic decision-making and improve overall business performance. Required technical skills: Proven experience as a Data Scientist or similar role. Strong knowledge of machine learning algorithms, statistical modelling, and data mining techniques. Proficiency in data science toolkits and programming languages such as Python, R, SQL, and SAS. more »

equips traders with tools that are faster, smarter, and easier to use. This is a fantastic opportunity to join a leading AI company whose Machine Learning product suite creates new trading opportunities through real-time analytics, supported by a world-class, scalable, ultra-low latency architecture. The Data more »

Qualifications: Education: Bachelor’s or master’s degree in computer science, data science, or a related field. Experience: Proven track record in AI/ML projects, preferably in HR or related domains. Leadership experience in managing technical teams. Familiarity with NLP, GANs, VAEs, and other generative AI techniques. Skills: Strong more »

Innovation Product Owner/Product Manager (Data) - Tech Scale Up - London Join the forefront of data innovation! Our client, a leading figure in the realm of data, is on the hunt for a dynamic Product Manager/Product Owner with more »

in the Energy space. THE ROLE As a VP you will have the following responsibilities: Driving the strategic direction of innovating the Analytics and Machine Learning platform Supporting client delivery, actionable insights and recommendations to stakeholders Driving data governance and security best practices Helping scale and grow a more »

You will: Lead the end-to-end deal cycle, leveraging machine-learning tools to drive efficient and effective growth funding solutions Structure deals and negotiate potential transactions Prepare investment reports and deliver presentations to investment committees Provide support to colleagues by leveraging past career experience and expertise in more »

high-velocity startup. Joining this exceptional team of ex-Google and ex-Facebook engineers, you would be solving interesting problems at the intersection of Machine Learning and Infrastructure. The Role Design and implementation of new backend APIs and working with the edge team. Implementing user-facing front-end more »

Machine Learning Engineer Up to £75 000 London Company: This company is a global creative consultancy that partners with huge companies such as Mastercard, SAMSUNG, Mercedes, and Virgin Media! They are looking for a Senior Data Scientist to join their team, who has a great generalist background to … work on a variety of exciting projects as a senior member of the team. Responsibilities: Build machine learning models utilising CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. Working with a team of highly skilled Data Engineers …/CD. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, CI/DC, MLFlow, Kafka, Kubernetes, Consulting, Constancy more »

parameters to improve strategy performance. The candidate can expect exposure to a wide range of interesting and challenging problems involving financial market, statistical modelling, machine learning, deep learning, and computational finance. Required Core Competency Deep understanding of financial markets and market micro-structure Exceptional analytical and problem … skills and strong track record of using creativity to come up new HFT/MFT trading strategies Hands on knowledge in applying statistical and machine learning methods to financial data using Python/R Comfortable taking ownership of projects and responsibilities with minimum supervision At least a bachelors more »

and translate these into clear requirements for your analysis. Identify opportunities for the use of advanced analytics techniques (e.g., marketing analytics, predictive modeling, and machine learning) to provide additional value to clients. Use robust statistical techniques when appropriate and be able to communicate your methodology to a wide more »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »

with the relocation process on a case-by-case basis for the right leader. Join us in transforming the educational landscape and advancing global learning initiatives. Responsibilities: Collaborate with the Board and C-Suite to design and enact an overarching information and data strategy that aligns with the company … a sound commercial acumen to support the organization’s risk management and compliance frameworks. Knowledge of cutting-edge technologies such as RPA, blockchain, AI, machine learning, and cognitive computing is expected. The successful candidate will need adaptive thinking and strong leadership skills to navigate the evolving business and more »

a bank or fintech startup. Previous experience mentoring/managing more junior analysts. Strong analytical skills, with proficiency in SQL. Experience leveraging automation and machine learning to tackle fraud and AML. Well-versed in implementing and enhancing security measures. The ability to work and collaborate with other members more »

The Computing Division at UKAEA conducts research and development across diverse areas such as cloud computing, high performance computing, algorithm development, artificial intelligence, and machine learning. Our focus is on optimisingresearch workflows and advancing computing infrastructures for fusion reactor engineering. We collaborate with academia and industry on novel computing more »

R or Python and Earmix Have built and worked with pricing models such as generalised linear models (GLMs), gradient boosting models (GBMs) and other machine learning algorithms Have experience projecting loss ratios to ultimate Know the benefits of price optimisation and how to use it in practice Understand … Insurance Up to 13 weeks of parental leave at full pay, regardless of your gender Flexible working hours Annual personal training allowance and regular learning opportunities Monthly flexible wellbeing allowance to help you stay healthy and productive Access to Employee Assistance Program It goes without saying that we provide … people based across the US, UK and the Netherlands, we value: Generosity, inclusivity, open-mindedness and diversity The delivery of great results and learning in the open Freedom to make long-term, high-impact decisions The wellbeing of our teammates and the people around us And... Enjoying the ride more »

more senior Data Scientists to learn from however this is their first full-time permanent hire into the team, you will be spearheading the Machine Learning & Data Science work … focused on forecasting demand. Your responsibilities as a Data Scientist will include but not be limited to: Leverage demand forecasting/time series forecasting ML techniques for the Data Science modelling. Work directly on the core product of the business and spearhead the Data Science efforts, engaging with other team … ideally in the retail space) Solid technical ability in Python & SQL Min. 2 (preferably 3-4) years’ experience as a Data Scientist using forecasting ML techniques. HOW TO APPLY: Please register your interest by sending your CV to luke.frost@xcede.com for more info more »

remainder of the week remotely if preferred. About the Company: Our client is dedicated to combating fraud and enhancing customer authentication using cutting-edge machine learning technology. Their innovative solutions provide real-time caller risk assessments, improving customer experience and preventing fraud. They partner with major organizations to more »

maintain tests regardless of their technical skill, and that quality is a key driver for change and growth. The latest advances in AI and Machine Learning have been leveraged to produce a low-code/no-code test automation platform that thinks like a human, empowers everyone to more »

Support current applications Introduce AI practices to the team/project Communicate key successes with stakeholders Key Skills: Azure Databricks Apache Spark Datascience, AI, ML Certifications or continued upskilling/contribution to blog posts within Data & AI beneficial but not essential. This is a full-time role offering up to more »

a ReactJS front end, hosted on AWS. There's extensive greenfield developement ongoing with opportunities to work in areas such as graph theory and machine learning. As the team is taking shape, they're interested in hiring backend weighted and fullstack engineers. The team practice engineering best practices, pair more »

Lead Machine Learning Engineer up to £115 000 London NEW Machine Learning Engineer Opportunity Available with a Leading Organisation! The Company: Are you an expert in Machine Learning? We are on the lookout for a Machine Learning Engineer to join an ambitious … through Data scientists/Engineering and Machine Learning Ops' best practices and you will be working on Recommendation Systems and Deploying complex ML Models. You will also be tasked to lead a team of ML/Data professionals. The Role: As a Machine Learning Engineer: Apply … project You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Lead a Team of ML Engineers. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of highly skilled more »

Research and Development : Drive the creation and implementation of AI models for RegTech, Credit Intelligence, and Personalised Products. Develop Advanced Solutions : Build and deploy machine learning models, behavioral analytics, blockchain solutions, and predictive analytics to address key fintech challenges. Collaborate and Innovate : Work closely with cross-functional teams … Finz at industry events. Mentor and Guide : Provide leadership and mentorship to junior AI researchers and data scientists. Key Qualifications: PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field. Extensive knowledge of machine learning algorithms, statistical methods, and AI techniques. Proficiency … as Python, R, or similar, and experience with machine learning frameworks (TensorFlow, PyTorch, etc.). Proven track record of conducting AI/ML research, with publications in top-tier conferences and journals. Familiarity with the fintech industry, including understanding of financial products, services, and regulatory requirements. Excellent written more »

Data Science team already in place who focus on recommendation systems and customer personalisation, the company now want to hire an MLOps Engineer/ML Engineer to focus on machine learning infrastructure and deployment tech. As the first person focusing solely on this skillset in the near future … we’ll need a capable and experienced engineer who is happy making independent technical decisions. Responsibilities Deploy, optimise and maintain the machine learning models at the core of the company’s product offering. Focus on creating state of the art … recommendation system and graph network technology that is scalable and stable. Build APIs for the product. Drive smart and necessary DevOps decision within the ML function – MLOps. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Significant commercial experience deploying and maintaining (MLOps) Machine Learning more »

services is a central pillar in the digital transformation program. The data pipelines and models that you will develop will underpin all Business Intelligence, Machine Learning and CRM capabilities. The role holder must ensure that the data is well-managed and ready for consumption by the business, which … will be varied, e.g. building a new reporting data warehouse, creating a single view of the customer, measuring, and improving data quality, and developing machine learning pipelines. Key Accountabilities Demonstrate our culture and values to our colleagues, customers, and partners so that our values are powered by every … level of proficiency in SQL and Python . A good level of experience of Data modelling and BI solutions is also required. Experience of Machine Learning Engineering and CRM are also highly desirable. High coding standards and experience of Dev Ops/MLOps, Azure, Synapse, Snowflake and Databricks. more »