76 to 100 of 1,048 Machine Learning Jobs in the UK

specific expertise in relation to the collection and use of data in online advertising and adtech, fraud prevention data, fan data, sports betting data, machine learning and artificial intelligence. More broadly, the team helps clients manage privacy, reduce development costs and maximise the potential of data, with a more »

of 60k, with the opportunity to grow professionally with a highly motivated start up. My client work in EnergyTech and are using AI/ML algorithms for data analysis, which has already led them to become an industry revenue business within 4 years of establishment. As the Full Stack Engineer more »

Skills and Experience – Nice to Haves · Experience in site reliability engineering · Experience with event-driven systems · Experience in building web services on AI/ML models Please send your CV to chris.shephard@areti.io or DM me for more information on the role. There is a quick 2 stage interview process more »

to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart … life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun more »

AWS certifications. Experience with big data technologies such as Hadoop, Spark, or similar. Knowledge of data governance and data quality best practices. Familiarity with machine learning and AI concepts and tools. more »

with IT to configure CI/CD pipelines, artifactory, and control-M jobs Create a UI interface for our FIG quant strategy platform Create ML model storage solution for our next-gen quantitative models Create team efficiencies by creating and maintaining SDKs to solve common challenges within the quant estate 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 »

Head of Options trading’s small team, helping to build a more robust systematic trading effort. You’ll bring your algorithmic and systematic experience (ML, AI approach to trading including options) in an effort to diversify their systematic portfolio. You’ll need proficiency in Python or C++ coupled with commodities more »

/.NET 6/7/8 Azure FE – Some React, Swift, Kotlin. Some knowledge of DevOps, VoIP. Understanding/Interest in AI/ML The salary varies widely because the company is happy to cater the role for the right person and integrate them accordingly. Salary - £75 - £120k, pension more »

Mid-Market Account Executive position with a New Business focus selling a Data Quality Solution across the UK&I. The solution leverages AI and ML to carry out quality checks within your data stack, catching issues early and preventing downstream impacts that bad data will cause all whilst fully integrating 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 »

Leading ecommerce client now requires a Data Engineer to join their innovative Machine Learning team. This role will focus on increasing overall data efficiency using Machine Leaning, streamlining data processes to increase overall profitability, and ensuring our clients operations and customer teams … can increase overall value. They are searching for someone with strong exposure to Machine learning principles/practices and technologies such as ML flow/Sage Maker. The role: Develop robust and scalable data pipelines. Collaborate with cross-functional teams to develop and deploy Machine Learning models and algorithms to solve business challenges and create opportunities. Contribute to the development of our clients in-house Machine Learning operations framework. Support the data science and analytics team in deploying pipelines. Coach and mentor the team to improve development standards. Key requirements: Strong hands-on more »

My client are looking for Machine Learning driven quant researchers who either have industry experience (Tech/Finance) or are coming straight from a PhD to be based in London, or Switzerland. Key Responsibilities: Develop and implement machine learning models to analyze and predict market trends. … researchers to integrate models into trading strategies. Optimize existing models and algorithms to improve performance and accuracy. Stay updated with the latest advancements in machine learning and financial research. Present research findings to team members and contribute to strategy development. Requirements: PhD in Machine Learning, Computer … Science, Statistics, Mathematics, or a related field with a focus on machine learning. Proven experience in applying machine learning techniques to real-world problems, preferably in a financial context. Strong programming skills in Python, R, or similar languages. Solid understanding of statistical methods and quantitative research methodologies. more »

are looking for a Lead Machine Learning Engineer to join their team, working a part of the Data Science team to integrate ML technologies into internal business processes. Responsibilities: Lead the design, development, and deployment of ML models and pipelines, in close collaboration with Data Scientists, ML Engineers … Drive the adoption of best practices in code quality, design, scalability, and maintainability. Mentor and upskill members off the team. Maintain and enhance existing ML models, ensuring all models are deployed in production are monitored. Stay updated with the latest developments in ML/AI, and related fields to keep … Requirements: BSc or MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Good knowledge of ML/AI state-of-the-art, principles, practical applications and limitations Technical leadership, strong communication skills, mentoring experience How to Apply: Please register your interest more »

to be partnering with a global tech leader on their search for an experienced Machine Learning Engineering Manager to lead their agile ML Engineering team here in Belfast. This team are providing word class machine learning solutions at scale to some major clients and are on … Provide strategic technical direction, support, and mentorship, fostering a culture of continuous learning and innovation. Lead the recruitment, training, and performance evaluation of ML engineers, managing teams across different regions. Establish clear objectives, deliver consistent feedback, and promote professional growth to help team members meet their goals. Encourage collaboration … quality standards, drive continuous improvement initiatives, and address any customer-related challenges. Desirable Technical Experience: Proficiency in Java, Kotlin, or Python. Experience with NLP, ML-Ops, and data pipelines. Familiarity with ML frameworks such as TensorFlow or PyTorch Strong understanding of ML algorithms, statistical techniques, and data analysis. Experience with more »

is a global luxury retailer looking for an MLOps Engineer to join their strong AI department, where you will help build and maintain the ML infrastructure as well as supporting the deployment and productionisation of machine learning models. The AI department is a cross functional team who work … a range of projects including NLP, Recommendation, Forecasting and LLMs Responsibilities: Create and manage the machine learning infrastructure Streamline the process of ML experiments into production Build and implement scalable tools and services Continuously explore new technologies to enhance performance, maintainability, and reliability of the ML systems. Apply … across the business What you need to succeed: Strong background as a MLOps Engineer, Platform Engineer or Devops Engineer Must have experience working on ML infrastructure using Docker and Kubernetes Minimum of 3 to 5 years experience Extensive experience with Python Familiarly with Terraform, Databricks and Azure Ability to implement more »

maintain high-quality software solutions using C# and .NET. Utilise AWS services to build, deploy, and manage applications in the cloud. Implement AI and machine learning algorithms to enhance software functionality and performance. Collaborate with cross-functional teams to gather requirements and deliver solutions that meet business needs. … focus on C# and .NET. Proven experience with AWS services such as EC2, S3, Lambda, RDS, and DynamoDB. Hands-on experience with AI and machine learning frameworks and libraries. Strong understanding of software development methodologies, tools, and processes. Excellent problem-solving skills and the ability to work effectively more »

BettingJobs.com are currently recruiting US Sports Data Scientist based in London for a leading sports betting forecasting company. Responsibilities: Create statistical and machine learning models for different US Sports predictions Integrate your brand new models into production in our odds engine and maintain it Implement innovative algorithms to … Master in statistics, data science, computer science, mathematics or a related field Strong interest in modeling, probability and statistics (time series predictions, bayesian inference, machine learning among other hot topics) Experience forecasting US sport events Highly proficient in Python and the main data science libraries Interest in US more »

technical concepts to non-technical stakeholders. - Proven ability to work in a fast-paced, dynamic environment and manage multiple priorities. Preferred Qualifications: - Experience with machine learning and AI techniques. - Knowledge of data governance and compliance best practices. - Certifications in Palantir Foundry or related technologies. Working Conditions: - This position more »

better, made data intelligence accessible to all businesses big and small but most importantly, opened up new avenues of data intelligence for businesses with machine learning, AI and connected data. From risk management through to opportunity identification, our industry-leading solutions, power decisions for companies by turning their … Annual Leave (plus bank holidays). • Hybrid working model. • Healthcare & Company Pension. • Cycle to work and Wellbeing Programme. • Global Company gatherings and events. • E-learning and excellent career progression opportunities. • Plus more that can be found on the benefits section on the Careers page, https://careers.creditsafe.com/ more »

years of experience in data science, AI, and analytics, with a strong background in advising senior executives. Expertise: Deep knowledge of data management, machine learning, AI frameworks, and analytics tools. Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. Advanced more »

and managing day-to-day tasks for efficiency and alignment with goals. Set Technical Direction: Define the systems and tools' technical direction, advancing towards ML and AI integration. Required Experience: Snowflake: Proficiency in setup, configuration, and optimisation. DBT (Data Build Tool): Strong skills in managing transformations and data pipelines. Python more »

insights in the property domain. This presents an exciting chance to work with an innovative and reputable PropertyTech scale-up, where data science and machine learning drive their core operations! THE ROLE Engage in diverse projects spanning segmentation, forecasting, propensity modelling, and recommender systems. Drive commercial value alongside more »

data science and materials science, complemented by a strong commercial background, are also encouraged to apply. Proven expertise in computational modelling, statistical analysis, and machine learning. Knowledge/Skills: Ability to craft compelling data-driven narratives for clients and stakeholders. Excellent analytical and problem-solving skills in a business more »

they are an online based platform connecting users. Skillset: Typescript Node.js React/Next.js Databases such as Postgres Interest/Experience in AI/ML Experience with API's - GraphQL, TanStack Query, tRPC. Benefits include: Fully Remote Flexible Working Hours Shares Unlimited Holiday To find out more contact o.king@jeffersonfrank.com more »