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Embedded Software Engineer Location: Ealing Area - Hybrid Work from Home Salary: Up to £65,000 + Extensive benefits The Role KO2’s client is seeking a talented Embedded Software Engineer to help deliver robust, high-quality embedded software for existing and future electric products. This is an exciting opportunity to be involved in the full product lifecycle—from early prototype development through to production and manufacturing. Key Responsibilities • Develop high-quality embedded software that is efficient, maintainable, and scalable, • Work collaboratively with hardware engineers to support board bring-up, debugging, and system validation, • Design, implement, test, and support embedded software for internally developed electric systems, • Investigate and resolve complex real-time challenges related to timing, performance, and signal integrity, • Play an active role in shaping software architecture, coding standards, and future platform direction About You • Strong programming skills in C and C++, • Hands-on experience with embedded communication protocols such as BLE, CAN, I2C, UART, or SPI, • Comfortable using version control systems, particularly Git, • A proactive problem-solver with a methodical approach to identifying root causes, • Demonstrated experience in embedded software development, • Familiar with the full software development lifecycle, from requirements through to testing Desirable Skills • Experience with functional safety standards (ISO 13849 or ISO 26262), • Experience working with CI/CD pipelines (e.g. Jenkins, Docker), • Experience developing RTOS-based applications, • Familiarity with Python for tooling or automation Additional Requirements • Full right to work in the UK without sponsorship Apply today with an up-to-date CV or contact KO2 Embedded Recruitment for more details.

NET MAUI, GitHub Copilot, Docker, Kubernetes, Microservices architecture, Angular 21, Vue.TypeScript, Programmer, Full Stack Engineer, Architect,.Have you ever thought about getting from London to Edinburgh in 30 minutes? My client, a world leader in aerospace technology, and has decided to undertak

AI Engineer Job Tenure: Full-time, permanentSalary: CompetitiveCompany Description Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value. You'll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good. What you’ll do: • Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits., • Support the data science and AI team in deploying scalable AI applications across the enterprise., • Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS., • Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries., • Develop prompts, fine-tune models, and track results., • Evaluate third-party GenAI and LLM technologies for cost-benefit analysis., • Deliver projects from scoping and R&D to production deployment and benefit measurement., • Follow and contribute to standards for code quality, R&D, and model development., • Engineer data for optimal AI application performance., • Advise peers and senior management on business and customer impact., • Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL., • Liaise with third-party partners and stay updated on field advancements and regulations., • You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences., • You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business., • PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent,, • Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting,, • Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results., • Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution., • Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git., • Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc., • Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors., • Knowledge of OO programming and software design, i.e., SOLID principles., • Knowledge and working experience of AGILE methodologies., • Familiarity with Databricks, and RAG application architecture a plus, • Competitive salary that reflects your skills, experience and potential., • Discretionary bonus scheme that recognises your hard work and contributions to esure’s success., • 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday., • Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances., • Company funded private medical insurance for qualifying colleagues., • Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members., • We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources., • Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities., • Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues., • We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.

Senior Machine Learning Engineer Location: London Work model : Hybrid | 2 days on site Salary: Up to £110,000 + Package Sole British National Eligible for security clearance Who youll be working with: Youll join a team of expert AI engineers delivering high-stakes, mission-critical AI solutions. As a Senior Machine Learning Engineer, youll collaborate closely with colleagues and clients to design, build, and deploy scalable, production-grade systems while applying your technical expertise and leadership. W hat youll have the opportunity to do as a Senior Machine Learning Engineer: Lead architecture and technical decisions for high-impact ML systems. Build production-grade ML software, tools, and scalable infrastructure. Define best practices for deploying ML at scale. Collaborate across teams to solve complex client challenges. Mentor engineers and shape the teams technical culture. What we need from a Senior Machine Learning Engineer: Expert across the full ML lifecycle, with experience operationalising models in TensorFlow or PyTorch. Strong Python and software engineering skills, building robust, reusable ML systems. Hands-on cloud experience (AWS, Azure, GCP), including architecture, security, and infrastructure. Skilled with containerisation and orchestration (Docker, Kubernetes) at scale. Thrive in fast-paced environments, taking ownership and guiding teams and stakeholders. As a Senior Machine Learning Engineer, whats in it for you? Competitive salary Unlimited holidays Private medical and dental cover TPBN1_UKTJ

Lead Machine Learning Engineer Location: London Work model : Hybrid | 2 days on site Salary: Up to £125,000 + Package Sole British National Eligible for security clearance Who youll be working with: As a Lead Machine Learning Engineer, youll drive the technical direction of complex AI projects, designing robust architectures and deploying cutting-edge solutions with clients. This hands-on role blends deep technical expertise with leadershipfostering team growth, driving innovation, and delivering high-impact, practical AI outcomes. What youll have the opportunity to do as a Lead Machine Learning Engineer: Set the technical direction for complex ML projects, balancing trade-offs and guiding team priorities. Design, implement, and maintain reliable, scalable ML systems, making sound architectural decisions. Define project problems, develop roadmaps, and oversee delivery across multiple workstreams. Build reusable ML tools and libraries and guide the team in applying them effectively across projects. Lead hiring, mentor team members, and foster technical growth and collaboration. Advise clients as a technical expert, providing estimates and rationale for high-impact work. What we need from a Lead Machine Learning Engineer: Strong Python skills and experience operationalising models with frameworks like Scikit-learn, TensorFlow, or PyTorch. Cloud and full-stack experience (AWS, Azure, or GCP) with containerisation (Docker) and orchestration (Kubernetes). Recognised technical expert with deep ML knowledge and broad problem-solving ability. Excellent communicator, guiding teams and clients to deliver impactful AI solutions. As a Lead Machine Learning Engineer, whats in it for you? Competitive salary Unlimited holidays Private medical and dental cover TPBN1_UKTJ

Data Scientist - Optimisation & Operations Research North West London (Hybrid, 3 days on-site) | £550 - £750 /day The Opportunity We're recruiting on behalf of a globally recognised organisation undergoing a major transformation in how it uses data to drive operational decisions. This is a rare chance to work on genuinely complex, high-impact decision-support software - embedding cutting-edge optimisation and machine learning directly into live operations. You'll join a high-performing, Agile product squad as a full-stack Data Scientist, sitting at the intersection of data engineering, ML, and operations research. What You'll Be Doing Designing and delivering optimisation and ML models (linear/mixed-integer programming, heuristics, supervised/unsupervised learning) in Python, from prototype to production Building robust, automated data pipelines and integrating models into cloud-based deployment pipelines with CI/CD Owning features end-to-end - from stakeholder requirements through to algorithm hardening, edge-case handling, and value measurement Working with orchestration frameworks (Dagster/Airflow), experiment tracking (MLflow), and containerised infrastructure (Docker/ECS) Collaborating closely with business stakeholders and contributing to roadmap and feature prioritisation What We're Looking For Strong operational research and optimisation background - this is a must Fluent Python, with hands-on experience of scikit-learn, pandas, numpy, Gurobi or similar OR packages Production ML/optimisation software experience - you've shipped models that run at scale Cloud platform experience (AWS preferred); familiarity with SageMaker, DVC, GitHub Actions a bonus Strong SQL and data engineering fundamentals Experience in airline, aviation, transport, or engineering/maintenance environments is highly desirable Master's degree (or equivalent) in Data Science, ML, or Operational Research - or strong demonstrable industry experience

Forward Deployed Engineer Generative AI / LLM Deployment GenAI | LangChain | RAG | AWS | Kubernetes | Customer-Facing We are hiring a Forward Deployed Engineer to lead the deployment of production-grade Generative AI and LLM solutions into enterprise environments. This is a hands-on, customer-facing role focused on building and deploying RAG pipelines, multi-agent systems and fine-tuned LLM applications using tools such as LangChain and LangGraph. You will embed with client teams, own technical delivery from prototype to production, and demonstrate measurable KPI impact. Key Responsibilities Design and deploy GenAI / LLM applications (RAG, agentic AI, fine-tuning) Lead production deployment on AWS, Azure or GCP Build scalable backend systems in Python (JavaScript a plus) Manage infrastructure using Kubernetes, Docker, Terraform Own end-to-end technical delivery across multiple client deployments Conduct debugging, optimisation and root cause analysis Communicate complex AI concepts to technical and non-technical stakeholders Requirements Strong experience building and deploying LLM / Generative AI solutions Hands-on with LangChain, RAG, multi-agent systems Cloud ML deployment experience (AWS, Azure or GCP) DevOps tooling: Kubernetes, CI/CD, GitHub, GitOps Customer-facing technical delivery experience Background in Machine Learning, Data Science or AI Engineering This role suits a Senior Machine Learning Engineer, Applied AI Engineer, AI Solutions Engineer or LLM Engineer who enjoys client impact, rapid prototyping and owning delivery in fast-moving environments. Apply now to work at the forefront of enterprise AI deployment and agentic systems TPBN1_UKTJ

Start a career with one of the best beauty brands around?World famous beauty and cosmetics brand Avon is looking for full and part time representatives in the UK right now as business expands.See the TV Ad campaignThis is your chance to work with a premier international brand with 130 years of prove

You will be responsible for supporting cloud-hosted systems on AWS, with a strong focus on containerized environments using Docker and Docker Swarm. Monitor, maintain, and troubleshoot distributed containerized services using Docker and Docker Swarm. Strong hands-on experience with Docker and Docker

A leading software company is looking for an Account Executive, Strategic in the UK to manage key accounts and expand client relationships.The ideal candidate will have over 5 years of experience in sales within complex organizations and the ability to deliver client-focused solutions.Responsibiliti

A leading software container company in the United Kingdom is seeking a Principal Software Engineer for their AI engineering team.This role involves defining technical strategy and shaping the development of containerized AI agent capabilities.The ideal candidate should have extensive experience in

The ideal candidate will possess mastery in Linux systems and hands-on experience with Docker and Kubernetes.

You will design and manage scalable AWS infrastructure, orchestrate containers with Docker and Kubernetes, and build CI/CD pipelines using Terraform.

A leading software company in London is seeking a Staff Engineer to join their AI engineering team.You will work on containerized agent systems, leveraging your expertise in Go and AI/ML knowledge.Responsibilities include building and evolving open-source projects that empower developers to create i

Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience. You'll work alongside a team of seasoned engineers, collaborating with our sister teams working on Ask Gordon and Docker's broader A

Cross-functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience. Container Technology: Deep understanding of Docker, containerization best practices, and container o

Cross-functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience. One Year Outlook: Drive major architectural decisions for our containerized agent platform that will

A leading technology firm is seeking a Quality Engineer to join their MongoDB team in Greater London.This role involves ensuring software stability and reliability, analyzing defects, and improving testing processes.Candidates should possess solid debugging and Linux skills, along with experience in

Experience with Docker and VMware is required along with strong business acumen to translate technical challenges into effective solutions.

Conduct platform health assessments and maturity reviews, delivering best practices across Dockerfiles, images, CI/CD, registry strategy, and secure software supply chain governance. Lead and facilitate Strategic Business Reviews, presenting a comprehensive view of the customer's technical journey a

A leading containerization technology company is seeking a talented engineer to join their AI team in London.This role involves building containerized agent systems and expanding the cagent open-source project.Ideal candidates will have strong Go expertise, experience in AI/ML, and a background in d

You’ll define the technical vision, lead architecture decisions, and partner with engineers and leaders across Docker to bring containerized agent capabilities into Docker’s developer experience. Container Technology: Deep understanding of Docker, containerization best practices, and container o

In this remote-first role, you will design and implement systems leveraging Docker containers for AI agents, maintain the open-source cagent project, and collaborate with cross-functional teams.

You will also work with technologies such as Kubernetes and Docker to enhance your development skills and stay at the forefront of the industry.

You’ll define the technical vision, lead architecture decisions, and partner with engineers and leaders across Docker to bring containerized agent capabilities into Docker’s developer experience. At Docker, we make app development easier so developers can focus on what matters. Cross‑functiona

AWS, and proficiency in Git and Docker.

This fully remote role values autonomy, requiring at least 5 years of relevant experience with AWS, Docker, Terraform, and Ansible.

Work closely with product managers, designers, and engineers across Docker’s AI teams to integrate containerized agent capabilities into Docker’s developer experience. Deep understanding of Docker, containerization best practices, and container orchestration. At Docker, we make app development e

A leading technology company is looking for a Senior Technical Account Manager to drive strategic growth for high-value clients across the Docker platform.

A maritime technology innovator in Greater London is seeking a Senior Software Engineer to design and maintain backend solutions.The role involves developing products using.NET C#, mentoring junior team members, and making crucial technical decisions.The ideal candidate has over 5 years of.NET C# ex

A leading professional services firm in Greater London is looking for a Senior Developer to design, develop, and implement innovative solutions using Docker and KONG technologies.

Cross-functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience. Docker containers are the perfect vehicle to host and run AI agents - providing isolation, portabili

A leading cloud technology provider in London is seeking a Principal Software Engineer to develop the future of containerized AI agents.This role involves defining technical strategy and leading architecture decisions while working on the open-source cagent project.Ideal candidates have over 10 year

With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. Docker does not offer visa sponsorship for this role. Docker embraces diversity and equal opportunity.

The ideal candidate has extensive experience in functional testing, Docker, and Linux.

The ideal candidate will have strong system architecture skills and experience with Docker and Kubernetes.

A leading tech company is seeking a Principal Software Engineer to join their AI engineering team.The role involves shaping the future of containerized AI agents, leading technical architecture, and collaborating cross-functionally to enhance developer experience.Ideal candidates should have over 10

In this role, you will be responsible for providing critical technical support for applications and hardware, managing our observability strategy, and ensuring the global delivery and performance of our services.You will collaborate closely with network services, software engineering, and developmen

Role: Azure DevOps Engineer - OUTSIDE IR35.Travel: 2 days a week on-site in Milton Keynes.CI/CD pipelines, cloud infrastructure, and data solutions.The ideal candidate will bridge development, operations, and business intelligence teams to deliver scalable, secure, and automated solutions across the

Support containerised environments (Docker / Kubernetes / EKS).

Reporting to the Web Architect, the DevOps Engineer will play a key role in designing and implementing the technical backbone of the digital platforms.This role is crucial to supporting the “digital first” strategy with solutions that are flexible, scalable, and reliable.The DevOps Engineer will

Establish containerisation standards using Docker and Docker Compose to support consistent development and production environments. Deep containerisation expertise using Docker and modern image optimisation practices.

Senior DevOps Engineer | AI‑Driven SaaS | Azure | Tech Scale Up | Oxfordshire.Do you want to work in the AI & Voice‑Tech Sector?.Excited to work with modern Azure DevOps tooling?.We're looking for a Senior DevOps Engineer to join a highly collaborative engineering team, scaling modern cloud infr

Deploying LLMs using Kubernetes & Docker. Hands-on with Docker, Kubernetes, and Terraform.

Code Wizards Group is a world leader in backend and multiplayer infrastructure for the gaming industry.From high-scale AAA console and PC games to fast-paced mobile indie titles, we empower studios to bring multiplayer experiences to life.Within the Group lie Multiplayer Wizards, whose sole responsi

DevOps tooling experience (Docker, GitLab, CI/CD, AWS).

DV DevOps Engineer / Site Reliability Engineer (SRE) - AWS, Kubernetes - Contract Outside IR35.We are supporting a specialist engineering consultancy delivering secure technology platforms to high-profile UK government organisations.They are seeking an eDV Cleared DevOps Engineer / Site Reliability