826 to 850 of 4,100 Machine Learning Jobs in England

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. ...

timely, structured manner to technical and non-technical stakeholders.Stay current — Continuously evaluate and adopt emerging languages, frameworks, cloud services, and AI/ML tooling relevant to the product.Required Qualifications 3+ years of professional software engineering building and shipping complex, production-grade applications — not solely scripting, prototyping, or research. Strong proficiency ...

repositories (e.g., Artifactory, Nexus) and secure software supply chain practices.Knowledge of observability systems, telemetry frameworks, and performance optimization for build pipelines.Exposure to AI/ML-driven build acceleration and failure prediction tooling.Prior hands-on software development experience building customer-facing features.At BNY, our culture allows us to run our company ...

operational data according to sensitivity and security requirements. Designing and maintaining critical data delivery systems – encompassing both realtime data, historical data and AI/ML use‐cases. Collaboration with product owners and stakeholders to ensure data solutions align with business and regulatory requirements. Capable of finding a balance between best ...

handling operational data according to sensitivity and security requirements.Designing and maintaining critical data delivery systems - encompassing both realtime data, historical data and AI/ML use-casesCollaboration with product owners and stakeholders to ensure data solutions align with business and regulatory requirementsCapable of finding a balance between best of breed ...

technical concepts to varied audiencesA proactive, self-directed mindset with strong problem-solving skillsDesirable:Experience within the airline or travel industryExposure to AI/ML solutions and productionisationExperience with Databricks, Snowflake or modern lakehouse platformsInfrastructure-as-code and serverless pipeline experienceData lake migration and solution architecture experienceWHAT ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. ...

/London (hybrid) or remote from EU/UK What will you do Accelerate researchers by taking on the heavy parts of large‐scale ML pipelines and building robust tools. Interface cutting‐edge research with production: integrate checkpoints, streamline evaluation, and expose APIs. Conduct experiments on the latest deep‐learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs). Design, implement and benchmark ML algorithms; write clear, efficient code in Python. Deliver prototypes that become production‐grade components for Le Chat and our enterprise API. About you Master’s or PhD in Computer Science ...

entire technical stack, driving architectural decisions and mentoring others to ensure we ship scalable, high-performance systems that transform how our customers interact with Machine Learning.What you'll be doing:Leading the architecture and design of complex projects to ensure they are robust, scalable, and aligned with long-term ...

public cloud environments (AWS, Azure, or GCP).Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.A track record ...

with each feature. About you: Qualifications and experience: Essential: Degree in computer science, software engineering or a related discipline, or demonstrably equivalent professional experience. ML operations capability: comfortable operating model-serving infrastructure and running established training and evaluation pipelines on Linux/GPU hardware process management, resource monitoring, versioned promote ...

representing security requirements to non-security stakeholders.• Working knowledge of cloud environments (Microsoft Azure and/or Amazon AWS) and the AI and ML services offered within those platforms, with the ability to assess security configurations, data handling behaviors, and integration risks.• Experience partnering with development teams, data teams ...

Server, Active Directory, LDAP, and federation services.Deep understanding of authentication, authorization, federation, SSO, MFA, RBAC, and JIT/ZSP models.Familiarity with securing AI/ML pipelines, Large Language Model (LLM) ecosystem integrations, and autonomous AI agents.Awareness of AI-specific security frameworks and risks (e.g., OWASP Top 10 for LLMs, prompt ...

banking platforms)- Ensure solutions meet stringent regulatory requirements (SEC, FINRA, OCC, Fed) and industry standards- Drive adoption of advanced AWS capabilities including AI/ML, GenAI, real-time analytics, and event-driven architectures- Working backwards from your customers, identify gaps in AWS products and services, and work with relevant product ...

with deploying and operating AI systems in production environments Understanding of model evaluation, data quality, and performance monitoring Experience using cloud AI platforms (Azure ML, OpenAI, or similar) Enjoy travel and are comfortable with travel up to 25% Our team prides itself on embracing a growth mindset, inspiring excellence ...

multiplying the capabilities of your peers, this role is for you.What You’ll DoTechnical Leadership & Custom Implementation: Act as the technical lead for specific ML projects within your pod. Design and implement custom model components or loss functions that don't exist "off-the-shelf," breaking down massive research goals … drift or production feature distribution shifts). Lead team-level post-mortems and resolve blocking corrective actions.Career Multiplier: Formally mentor mid-level and associate ML scientists, reviewing their experimental logic to ensure high scientific rigor while guiding them through applied ML and production constraints.Skills & ExperienceEducation: Master’s or Ph.D. degree ...

capabilities of your peers, this role is for you. What You’ll Do Technical Leadership & Custom Implementation: Act as the technical lead for specific ML projects within your pod. Design and implement custom model components or loss functions that don't exist \"off-the-shelf\", breaking down massive research goals … production feature distribution shifts). Lead team‐level post‐mortems and resolve blocking corrective actions. Career Multiplier: Formally mentor mid‐level and associate ML scientists, reviewing their experimental logic to ensure high scientific rigor while guiding them through applied ML and production constraints. Skills & Experience Education: Master’s or Ph.D. ...

complex asynchronous training workflows. We're looking for a systems‐level engineer who wants to work on the gnarly, foundational problems of a production ML platform. You'll support a system that handles a massive volume of inference requests and orchestrates unattended model training across a diverse landscape of model … about building the infrastructure that makes it all possible. Our core platform is written in Rust for performance, correctness, and fearless concurrency. ML models and services are primarily in Python. If you're intrigued by the challenges of the software/hardware interface, OS‐level optimization, and building robust, multi ...

Senior Machine Learning Engineer Department: Data & AI Employment Type: Permanent - Full Time Location: UK - London Description Insurance isn't the first industry most engineers think of when they imagine cutting-edge AI work. That's exactly why this role is interesting. CFC's Data & AI unit is building … driven architectures. Confidence leading system design discussions and making pragmatic architectural trade-offs. Strong cloud experience, ideally within Azure. Experience deploying, monitoring and maintaining ML or LLM models in production. Familiarity with MLOps, LLMOps, evals, monitoring and lifecycle management. Hands-on experience orchestrating LLM workflows using frameworks such as LangChain. ...

Machine Learning Consultant - Must have an Active DV Clearance - Hybrid Location: Bristol, London, Manchester or Cambridge Salary: £45,000 - £70,000 (DOE) Join one of the UK's leading Defence & Security practices, working on high impact programmes that support national security and help government organisations unlock value from … data, AI and machine learning. You will work alongside clients to solve complex challenges using cutting-edge AI, machine learning and data science techniques. You'll be involved throughout the project lifecycle, from understanding user needs and developing prototypes through to deploying scalable, enterprise-grade solutions. What ...

from scratch, channelling our start-up mentality every step of the way – meaning you’ll have the opportunity to make a real impact. Lead Machine Learning Scientist – International Consumer Bank Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices … design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Responsibilities Lead the development and maintenance of machine learning models to solve complex business problems. Develop the technical skills of junior colleagues through mentorship and training. Collaborate with cross‐functional teams to identify ...

/7 on call rota as required Essential Criteria Proven Azure commercial experience in AI Foundry, ACS/Telephony, Voice Live, Azure ML Proven industry experience with Python, Javascript, Typescript, React, Redux, Java Experience with LLM’s including realtime models Experience with Docker, Container Apps, containerised distributed systems, Terraform, Kafka ...

offices. Responsibilities Lead the implementation of data science projects and data science approaches to support commercial goals. Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working. Collaborate with tech, product and data teams to develop the data platforms that allow us to apply … broader customer analytics) “brand” at Kingfisher for both internal and external audiences. Qualifications Proven experience delivering high-quality AI‐based products and productionisation of Machine Learning based products. Proven experience developing cloud‐based machine learning services using one or more cloud providers (preferably GCP). Excellent ...

channelling our start-up mentality every step of the way - meaning you'll have the opportunity to make a real impact. As a Lead Machine Learning Scientist at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities … expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Our Machine Learning team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people ...

machine learning solutions across an evolving enterprise data environment. This is a hands-on role working across the full ML lifecycle, from prototype through to production, focused on delivering scalable, value-driven outcomes. Experience requirements & Responsibilities : Develop and deploy machine learning models to solve business problems. … Translate prototypes into production-ready solutions. Build and maintain data pipelines and ML infrastructure. Prepare and analyse large datasets, extracting actionable insights. Evaluate, optimise and monitor model performance. Support the design and delivery of AI initiatives. Work within Agile teams and engage with stakeholders across the business. Essential : Strong Python ...