1,101 to 1,125 of 2,827 Machine Learning Jobs in England

must have written production grade code in C#, C++ or Python for application development (not web apps or embedded) and an interest in pushing Machine Learning over time. Crucially we are looking for experience with AWS Cloud/Distributed Computing to be considered. Your new role In this ...

engineering, software development, or building technical tools, including creating solutions by writing code. Experience working with systems (e.g., Linux, Unix, Windows). Experience using machine learning and building AI solutions Experience with Robotics Engineering. Preferred qualifications: Master’s degree in Engineering, Computer Science, Business, or a related field. ...

executing enterprise‐wide initiatives Strong communicator able to explain complex methodologies to senior stakeholders, auditors and regulators Skills Quantitative methods: regression, classification, clustering, machine learning, statistics Large‐scale data sets (structured or unstructured) Building user‐facing applications over large data volumes (React, Angular, JavaScript) Process improvements and automation ...

Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer Science ...

simple. Digitally disrupt and revolutionise a 335‐year‐old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. ...

Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer Science ...

Python, with experience in low‐latency environments In‐depth understanding of market microstructure, order types, and exchange connectivity Proficiency in statistical analysis and machine learning techniques Experience with high‐frequency trading (HFT) and algorithmic execution strategies Excellent problem‐solving skills and ability to work under pressure ...

data the falcon platform collects, making it easy for internal and external customers to transform and access the data for analytics, machine learning, and threat hunting.As a Senior Software Engineer on the team, you will contribute to the full spectrum of our systems, from foundational processing and data ...

analytical and problem-solving skills Candidates should have at least three of the following skills Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions Experience with large scale data sets with structured or unstructured data Experience in building user facing ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Required Skills AI ML Python JavaScript Job Summary Solution Engineer – Enterprise AI (6-Month Contract) Waterloo, London , Onsite: 5 days per week £650 - £700 per day Duration: 6 months About the Role This is not a high‐level advisory role. As a Solution Engineer you will be on the ground ...

experience operating AI, analytics or technology platforms in production. Solid DevOps experience, including CI/CD, monitoring and incident management. Understanding of AI/ML, including generative AI and model lifecycle management. Experience with cloud platforms, APIs and enterprise architectures. Microsoft AI experience, ideally Azure AI Foundry and Microsoft ...

networking . Ability to take ownership of production systems and drive continuous improvement initiatives. Desirable: Microsoft Azure experience. Experience deploying and supporting AI/ML applications in production environments. Exposure to Large Language Models (LLMs), NLP, or agent-based systems. Experience with observability and monitoring tools such as Sentry , Prometheus ...

tooling. Strong Microsoft Sentinel expertise: KQL, detection rules, workbooks, and logging pipelines. Working knowledge of DLP and threat intelligence monitoring. Experience applying AI/ML to security workflows – automated triage, behavioural analytics, or LLM‐assisted investigation. Understanding of AI security risks and frameworks: OWASP LLM Top 10, NIST AI RMF. ...

/ELT tools and data pipeline frameworks Solid understanding of data modelling, warehousing, and transformation best practices Experience across the data science/ML life cycle from prototype to production Experience working in public sector or regulated environments, with knowledge of GDPR and related standards Strong communication and stakeholder management ...

activations, secure data pipelines, and custom API connections. Deep expertise across Google’s advertising platforms (Google Ads, GMP) and Google Cloud (BigQuery, AI/ML, Data Analytics). Ability to translate complex technical solutions into persuasive storytelling for executive audiences. Ability to bridge pre-sales agreement shaping, architectural foresight ...

engineering experience with evidence of growing scope and initiative. Experience in cybersecurity, email security, or adjacent enterprise SaaS domains preferred. Familiarity with AI/ML concepts, including prompt engineering, model evaluation, retrieval‐augmented generation, and agent orchestration frameworks, is valuable but can be developed in‐role. Prior experience ...

paced, innovation‐led environments. Strong stakeholder management and communication skills Certifications (Desirable) Microsoft Azure AI Engineer Associate Azure Solutions Architect Expert Relevant AI/ML or cloud certifications Mindset & Leadership Style Engineering‐first leader: leads through hands‐on capability and technical credibility. Outcome‐driven: focuses on delivering measurable business value ...

Purview, Entra ID, DLP, or Insider Risk tools Understanding of ISO 27001, Agile ways of working Knowledge of statistics, data science, or AI/ML applied to cybersecurity Relevant certifications (MS-500, AZ-500, SC-series, Security+, GSOC, CCSK) Perks & Benefits Hybrid/remote working options Flexible benefits package Opportunity ...

Purview, Entra ID, DLP, or Insider Risk tools Understanding of ISO 27001, Agile ways of working Knowledge of statistics, data science, or AI/ML applied to cybersecurity Relevant certifications (MS-500, AZ-500, SC-series, Security+, GSOC, CCSK) Perks & Benefits Hybrid/remote working options Flexible benefits package Opportunity ...

container orchestration. Experience mentoring other engineers and leading by example. Strong understanding of software architecture principles and system design. Familiarity with integrating AI/ML APIs or frameworks (e.g., TensorFlow, PyTorch) is a plus. Excellent communication skills and a collaborative approach to problem solving. The Mindset We Value: Relentless Innovation ...

large enterprise cloud platforms for hundreds or thousands of users. Experience designing or maintaining distributed systems, secure networks, or infrastructure supporting autonomy, AI/ML, or big data workloads. Demonstrated ability to work across technical disciplines, influence without authority, and operate in ambiguous and fast‐paced environments. Experience working with ...

expertise in system design, application development, testing, and operational stability Advanced proficiency in one or more programming languages and technical disciplines (cloud, AI, ML, etc.) Ability to tackle design and functionality challenges independently Demonstrated experience with enterprise-authorized AI-assisted software development tools Strong understanding of responsible AI use, including ...

Celery/SQS). Strong Python skills. Familiarity with the Datadog/Grafana observability stack. A background in offensive security, CTFs, or AI/ML infrastructure. What We Offer Competitive Salary + Significant Equity: We want you to have true ownership in the success of the company. Founding Impact ...

approach to solving customer problems. Strong capability in at least one or two of the following areas: Data Engineering, Data Warehousing, AI/ML, GenAI, AI Agents, or application development, with interest in expanding into adjacent areas over time. Exposure to domains such as CDP/Martech, customer data architectures ...