801 to 825 of 6,467 Machine Learning Jobs in the UK

Engineer to join us permanently. Within this role, you’ll be working in a cross-functional Payments team in partnership with mobile, web and machine learning/data science teams to drive the team to success. Responsibilities Work closely with Engineering Managers, Product Managers, Product Designers, and various … employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Twice-yearly development chats and yearly performance reviews Learning budget Upskilling our employees with company-wide training workshops, materials and resources Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching ...

risks, priorities and investment recommendations. Required qualifications Significant experience in product innovation, data science or technology strategy roles, including substantial experience applying AI/ML solutions within the financial services sector. Strong understanding of banking, financial technology or enterprise software, ideally across core banking, lending, payments, digital banking or analytics. … Culture@Finastra, Proud@Finastra, Disabilities@Finastra, and Women@Finastra—open to everyone who wants to participate and contribute. Career Development: Access online learning and accredited courses through our Skills & Career Navigator tool. Recognition: Take part in our global recognition program, Finastra Celebrates, and share your voice through regular employee ...

preferable, whether thats Wealth Management, Banking, Insurance or another regulated financial organisation. Where does AI fit? You dont need to be an AI or Machine Learning Engineer. The client is looking for evidence that youve started exploring how AI can improve the way you engineer perhaps using Copilot ...

Experience delivering Agentic AI or RAG-based enterprise solutions Familiarity with regulated environments and security-driven designs GCP Professional certifications (Cloud Architect, Data Engineer, ML Engineer) Gemini Agent Development or Deployment skill badges We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical … pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on‐site massages and regular social events Learning and development opportunities including in‐house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program ...

Fabric Data Factory, Data Factory CDC, Fabric/Synapse Spark, ADF, Synapse Pipelines, Fabric, dbt Data management & metadata: Purview AI: Foundry, (including Agent Service), ML Data Product mentality : You build Data Products where every pipeline and dataset is discoverable, addressable and secure by design. Data capabilities : You know the full … real value You’re comfortable with ambiguity and solving complex problems collaboratively You bring strong expertise in your craft, alongside a willingness to keep learning You communicate clearly and build trust fast with clients, data engineering leaders and data and software engineers You’re pragmatic, adaptable, outcome‐focused ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Demonstrated experience designing and scaling agentic AI-enabled development patterns ...

Microsoft Azure SQL Server, MySQL or PostgreSQL Node.js or Python AWS Docker/containerisation Automated testing and CI/CD Data analytics or machine learning Internet of Things (IoT) technologies and applications You don't need experience across the entire technology stack. A strong front-end developer with ...

data handling. Coaches and mentors team members on AI engineering practices, prompt design patterns, and agentic system architecture — fostering a culture of continuous learning and technical excellence. Avidly communicates progress and project status across the organisation and ensures that stakeholders are managed appropriately throughout the execution period. Fosters … production engineering role with high business impact and a strong programming foundation (Java, Python, Go, or equivalent). Hands-on experience with AI/ML engineering — including working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents), embedding models, and vector databases. Proven expertise in prompt engineering : designing, iterating ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection … Experience leading BEC investigations Conduct in‐depth digital forensic analysis of data extracted from cloud environments such as AWS, Microsoft Azure, and GCP Continuously learning and staying informed of the changing threat landscape Proven track record of successful neutralization and remediation of ransomware threats Excellent understanding of the Incident ...

agile methodologies -CI/CD, Application Resiliency, Security, and capacity planning Demonstrated expertise in a technical discipline (e.g., cloud architecture, artificial intelligence/machine learning, mobile, distributed systems, security, DevOps/platform engineering) In-depth knowledge of financial services industry and their IT systems, regulatory constraints, and operational ...

e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Pragmatic approach to solving problems Nice to haves Keen interest in modern AI/ML techniques Experience in a consultancy or client-facing role Certifications in relevant technologies (e.g. AWS Cloud Practitioner, Azure Fundamentals, etc.) Why Indicium AI Plentiful opportunity … support for learning & development; £2k annual training budget (with 5 study days), access to Udemy, external consulting & leadership skills training Fast-growing start-up organisation with huge opportunity for career growth Competitive salary package along with company annual bonus A hugely collaborative working environment where every person’s viewpoint ...

agile methodologies, including CI/CD, application resiliency, and securityDemonstrated proficiency in software applications and technical processes within a technical discipline (cloud, artificial intelligence, machine learning, mobile, etc.)Practical cloud-native experienceProficient in working with SQL and NoSQL databasesPreferred Qualifications, Capabilities, and Skills: Experience designing and delivering scalable ...

engineers on safe, compliant adoption within delivery practices. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Practical experience in cloud computing. Knowledge of network protocols and technologies such as TCP/IP, DNS, DHCP ...

APIs that connect data services to frontend applications Work with large-scale rail inspection datasets including ultrasonic, electromagnetic, and operational data Implement and deploy machine learning models and statistical analyses in production environments Architect and manage AWS cloud infrastructure for data workloads (S3, Lambda, Glue, Athena, SageMaker, Step ...

Proven track record leading analytics or data science teams and driving insight-led decision making.Strong expertise in AI-driven marketing optimisation, advanced modelling and machine learning applications within marketing environments. Deep understanding of Marketing Mix Modelling, attribution, incrementality testing, customer lifetime value and audience segmentation. Experience operating ...

Proven data engineering experience, with the ability to design, implement and maintain robust data pipelines. Hands-on experience working with AI, Generative AI or machine learning solutions in a practical, production-oriented context. Practical prompt engineering experience, including designing, testing and optimising prompts for large language models. experience ...

individual, keen to combine your technical experience with a clear desire to solve practical problems 5+ years' experience in software engineering, AI engineering or machine learning engineering. Strong Python development skills and experience building production-grade distributed systems. Hands-on experience with LLMs, RAG, agent frameworks, prompt engineering ...

clients. Join our engineering teams that build massively scalable software and systems, architect low-latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity ...

will contribute to our agenda to transform the investment bank into a data-driven business, promoting change through state-of-the-art AI and machine learning techniques. This is a hands-on, implementation-focused role, and we are looking for someone with proven experience designing and building scalable ...

/CD, application resiliency, and security. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Interest in financial markets and trading, with the ability to work directly with Credit Sales and Trading teams to deliver impactful ...

trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower … Survival, Wall Street Rides FAR and more)Volunteer opportunities and charitable givingSocial events, happy hours, treats, and celebrations throughout the yearWorkshops and continuous learning opportunitiesAt Tower, you'll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. ...

issues in a simple way. Team player, interested in sharing knowledge and helping to develop the team. Skills in data science, predictive modelling & analytics, machine learning, AI Required Education Qualified actuary (FIA) or holder of an equivalent qualification from a recognised actuarial professional body. Excellent academic qualifications including ...

tech stack, moving forwards. Depending on the candidate’s interests, there will be room to work with our other developers on the application of machine learning tools to extract and model data (e.g. PyTorch, TensorFlow). Minimum Qualifications We are looking for a candidate with at least ...

development experience. Strong expertise in kdb+/q and Python. Proficiency with modern data science toolchains, including Jupyter, pandas, NumPy, scikit‐learn, with applied machine‐learning experience. Solid understanding of parallel computing frameworks such as Slurm or equivalent technologies. Strong background in quantitative analysis, including mathematical modelling, statistics ...

Learning Engineer to join our team and build the retrieval and knowledge representation systems at the heart of the platform. You will own ML components end to end — from research and prototyping through to production deployment — working across knowledge bases, vector stores, RAG pipelines, and context engines to power … structured reasoning over enterprise data. Design and implement RAG pipelines, including chunking, embedding, indexing, retrieval, and reranking. Build and maintain integrations between retrieval and ML components and diverse enterprise data sources, vector databases, APIs, and services. Develop context retrieval systems that balance recall, precision, latency, and cost. Build evaluation frameworks ...