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Maintenance Engineer A fantastic opportunity for a Maintenance Engineer has arisen to work for an international organization based in the Mitcham area. Salary - £45,000 + Package Shifts 4 on 4off (12-hour shifts) Location, commutable from Mitcham, Southwest London Skills required for the job Maintenance Engineer Maintenance and repairs on production machinery Electrical engineering, single, 3 pha... ZIPC1_UKTJ

Senior Estimating Engineer / Production Engineer (Precision Engineering - Aerospace & Oil & Gas) What's in it for you Join a long-established, leading subcontract precision engineering business Interesting and High-complexity work supporting oil & gas and aerospace customers and standards Senior, influential role with real impact on margin, delivery and manufacturing methods Competitive salary (DOE) + ... ZIPC1_UKTJ

Electrical Maintenance Engineer Location: West London Department: Engineering Shift & Salary • 10.30 PM - 7 AM, • Night Shift Monday to Friday, • £47,000 Overview Electrical Maintenance Engineer required to support a busy manufacturing site. The role is focused on keeping equipment running, reducing downtime and supporting production. Duties & Responsibilities • Carry out planned preventative maintenance across s... ZIPC1_UKTJ

Maintenance Engineer £50,000 Hayes, West London 4 on 4 off, Nights Benefits • Yearly Bonus, • 25 Days Holiday Bank Holidays, • Private Healthcare, • Training Opportunities, • Discount Gym Membership, • Wellbeing Platform, • Social Events Duties and Responsibilities: • Support production by delivering fast, effective breakdown response, • Carry out preventative maintenance across a wide range of equipment, • Diagnose and repair faults acros... ZIPC1_UKTJ

Job Description Role Title: Electrical Engineer Location: London (close to London Bridge) Working hours: 7am - 4pm Role Purpose: Carry out planned and reactive maintenance. Main Duties & Responsibilities: To carry out planned and reactive maintenance in accordance with the companys PPM and task schedules. Undertake PPM activity in a quality, professional manner. Production of technical and situational rep... ZIPC1_UKTJ

Machine Learning Engineer An AI-driven start-up, backed by $20M in Series A funding, is looking for its first Machine Learning Engineer to help scale their product and infrastructure. The platform transforms educational content into smart, personalised learning tools - and is already seeing rapid user growth and strong traction in the market. This is a unique opportunity to join early, influence the technical roadmap, and work directly with experienced founders and a senior engineering team. What you'll be doing: • Designing, building and deploying ML-powered features across a production platform, • Working across Python and TypeScript, integrating models into scalable, real-time systems, • Fine-tuning and training NLP models using techniques like transformers, • Driving the machine learning strategy and building best practices from the ground up, • Collaborating closely with product, engineering, and leadership What we're looking for: • Strong commercial experience building and deploying ML models in production, • Proficiency in Python and familiarity with TypeScript/JavaScript, • Experience with NLP or recommendation systems is a bonus, • Excited by start-ups: product-minded, hands-on, and motivated by impact What's on offer: • £100,000 - £120,000 salary + meaningful equity, • 4 days/week in a modern London office near Liverpool St, • Greenfield ML ownership with direct access to founding team, • A chance to shape the future of an AI product already loved by users

AI Architect | Contract | 6 Months | £400/day | Outside IR35 | Remote (UK Based) Start straight away The Opportunity A leading enterprise AI services firm is looking for a hands-on AI Architect to define and deliver next-generation GenAI and agentic AI platforms across a global client base. You'll own end-to-end architecture across Azure AI Foundry, Databricks, and AWS — from discovery through production — and act as a trusted technical voice in pre-sales, CXO conversations, and partner co-innovation. Rate: £400/day Duration: 6 months IR35: Outside Location: Remote (UK based candidates only) What You'll Be Doing • Designing reference architectures and platform standards for repeatable, scalable client delivery, • Architecting production-grade GenAI platforms on Azure AI Foundry — RAG, copilots, and multi-agent systems, • Building Lakehouse-based AI platforms using Databricks, Mosaic AI, MLflow 3.0, and Unity Catalog, • Designing multi-agent systems with LangGraph, CrewAI, AutoGen, Semantic Kernel, and Bedrock Agents, • Defining enterprise standards for MCP servers, A2A communication, and agent-to-system interoperability, • Owning Responsible AI guardrails aligned to NIST AI RMF, EU AI Act, and ISO/IEC 42001, • Mentoring architects and engineers, leading design authority forums and architecture reviews Core Tech Stack Azure AI Foundry · Azure OpenAI · Databricks · Mosaic AI · MLflow 3.0 · Amazon Bedrock · LangGraph · LangChain · Semantic Kernel · Microsoft Fabric · Unity Catalog · Python · Terraform · Kubernetes · OpenTelemetry What We're Looking For • 5+ years in software, data, and AI/ML with at least 4–5 years as a hands-on architect delivering production AI systems, • Proven delivery across at least two of: Azure AI Foundry, Databricks, AWS (all three ideal), • Deep expertise in GenAI, agentic AI, RAG patterns, LLM fine-tuning, and vector databases, • Strong Python foundations — PyTorch, Transformers, FastAPI, LangChain/LangGraph, • Experience with MLOps, CI/CD, IaC, and container orchestration at enterprise scale, • Confident communicator — able to engage CXOs and engineering teams with equal credibility, • UK based and eligible to work in the UK Nice to Have • Databricks certifications (Generative AI Engineer, Data Engineer Professional, ML Professional), • AWS certifications (Solutions Architect Pro, ML Specialty, AI Practitioner), • Exposure to regulated industries — BFSI, Healthcare, Pharma, Telecom, • Experience with knowledge graphs, multimodal AI, or open-source contributions in AI/ML Interested? Send your CV

Bristow Holland is recruiting for a 100% fully remote Lead DevOps Engineer to join a global organisation and take ownership of it's DevOps function. This is a hands-on leadership role, managing a team of 4 engineers while driving cloud infrastructure, automation, CI/CD, and DevOps best practices across the business. Key Responsibilities • Lead and mentor a team of 4 DevOps Engineers, • Drive DevOps strategy, standards, and best practices, • Design and maintain Azure cloud infrastructure, • Build and optimise CI/CD pipelines, • Champion automation and a shift-left engineering culture, • Collaborate with engineering, product, and business teams Key Skills Required • 6+ years' experience in DevOps, Cloud, or Platform Engineering, • Previous leadership or team lead experience, • Strong Azure experience (AKS, App Services, Key Vault, Networking), • Kubernetes in production environments, • Terraform and Helm, • CI/CD experience, ideally Azure DevOps, • Strong understanding of cloud architecture, networking, and security This is an excellent opportunity to join a global organisation in a fully remote role where you'll have genuine ownership, leadership responsibility, and the chance to shape the future of the DevOps function.

Platform EngineerLondon, Hybrid (3 days on-site) Up to £150,000 + Equity + BenefitsThis is a rare opportunity to join an early-stage, high-calibre team building in one of the most exciting areas of the AI ecosystem. The business is tackling a complex and emerging market, creating a platform that brings greater transparency and efficiency to infrastructure powering modern AI systems. You will play a critical role in shaping both the platform and the engineering culture from the ground up.The Company They are a well-funded, early-stage technology business operating at the intersection of AI infrastructure and financial markets. Backed by leading investors and led by a highly experienced founding team, they are focused on building a new category of platform within a rapidly growing space. The team combines expertise across engineering, data science, and trading, with a strong track record of building and scaling successful products. This is a pivotal growth phase as they expand both their product and technical capabilities.The Role You will be the first dedicated Platform Engineer, working closely with the founding team to design and deliver the core platform. This is a hands-on role with significant ownership and influence over technical direction. • Design, build, and maintain a scalable trading platform on Google Cloud Platform, • Own and optimise deployment processes for reliability and performance, • Develop and manage services running within Kubernetes environments, • Build and scale infrastructure using Terraform and infrastructure-as-code principles, • Contribute to backend development using Python and PostgreSQL, • Collaborate with founders and data teams to solve complex technical challenges, • Help shape technical strategy and influence future hiring and engineering standardsYour Skills & Experience, • Strong commercial experience building and scaling distributed systems in production, • Deep knowledge of cloud platforms, ideally GCP, alongside Kubernetes and Terraform, • Expertise in backend engineering using Python and relational databases such as PostgreSQL, • Experience implementing robust deployment and CI/CD pipelines, • Ability to operate in a fast-paced environment with a high level of ownership, • A mindset focused on impact, problem-solving, and continuous learning, • Exposure to trading systems, financial platforms, or regulated environments is beneficial but not required, • Interest in leveraging modern AI development tools to improve productivityWhat They Offer, • Up to £150,000 base salary, • Equity package with strong long-term upside, • Hybrid working model based in a central London office, • Opportunity to work directly with an experienced founding team, • Significant scope to shape the platform, product, and engineering direction, • Clear progression as the company scales and builds out its engineering function

SENIOR AI PLATFORM ENGINEER£130,000 UKThis is an exciting opportunity to join a remote-first SaaS business at a pivotal moment in its evolution. You'll take ownership of building AI-driven platform capabilities, working on agentic workflows and production-grade AI systems that sit at the core of how modern product teams collaborate. The role offers high autonomy, deep technical ownership, and real product impact.THE COMPANYOur client is a fast-growing SaaS business operating in the product and design tooling space. They build a platform used by product, design and engineering teams to document, scale and govern complex systems more effectively. The business is remote-first, highly product-led, and places a strong emphasis on quality, long-term thinking and ownership.This role has been created as part of a strategic shift towards AI-assisted and agentic workflows, offering the chance to help define how AI is embedded across a mature, widely-used platform.THE ROLE • Own the design and development of an AI-driven platform supporting agentic workflows, • Build orchestration layers that respond to changes in code, documentation and design tools, • Develop reliable, production-ready AI features using modern LLM frameworks, • Work end-to-end across frontend, backend and AI platform layers, • Collaborate closely with product and design to deliver high-quality, user-focused solutionsThis role is exciting because it sits at the intersection of AI, product and platform engineering, with the opportunity to shape core capabilities used by teams at scale.YOUR SKILLS AND EXPERIENCE, • Experience building agentic AI systems and orchestration workflows in production, • Strong knowledge of LLM frameworks, retrieval systems and AI platforms, • Full-stack development experience across frontend, backend and platform layers, • Strong React experience and understanding of modern patterns, • Product-focused mindset with empathy for end users, • Experience in startup or scale-up environments with long-term ownership, • Ideally 7+ years' experienceSALARY AND BENEFITS, • £95,000 - £130,000 base salary, • Stock options, • Pension scheme, • Fully remote working (UK-based), • All-expensed team meet-ups in London several times per year, • Visa transfer sponsorship availableHOW TO APPLYPlease register your interest by sending your CV to Harry Lack through the 'Apply' link.

Senior / Lead Machine Learning Engineer - Time-Series, Pricing, Customer Behaviour, Feature stores, MLOps London Hybrid | £100,000 – £120,000 + Equity This is a genuinely interesting opportunity for someone who enjoys solving large-scale, real-world machine learning problems rather than purely experimental work. The team is building forecasting, recommendation, pricing, and AI-driven decision systems that operate across a huge global dataset, with models directly influencing commercial decisions at scale. The role is heavily focused on machine learning engineering, particularly around time-series forecasting, scalable ML systems, feature stores, and MLOps. There’s also some exposure to generative AI and LLM-related work, but this is primarily a deeply technical ML engineering role rather than a pure GenAI position. What makes the opportunity stand out is the blend of scale, technical complexity, and visibility. You’d be joining a relatively small but high-calibre AI team with strong research and engineering backgrounds, helping shape systems that directly influence pricing, marketing, and customer experience across thousands of businesses globally. They’re looking for somebody who can stay hands-on technically while also helping guide more junior engineers and contribute to the wider technical direction of the team. The environment feels like a startup within a larger global business. There’s plenty of ownership, freedom to influence technical decisions, and the opportunity to work on genuinely impactful AI systems at scale. The setup is hybrid with two days per week onsite in London. Experience around forecasting, time-series modelling, recommendation systems, production ML infrastructure, or large-scale MLOps environments would all be highly relevant. Salary: £100,000 - £120,000 plus equity and benefits. APPLY NOW for immediate consideration. N.B. - They do not offer visa sponsorship

Principle Java Engineer • Salary to £70k-£90k + company options scheme (for £90k you will have to be their ‘Unicorn’ candidate i.e. having hands on experience of working with Camunda + having SC clearance already in place + being eDV eligible., • They will consider remote workers, if you are prepared to occasionally travel to London for client work with expenses paid. Hybrid working (2-3 days in their London Vauxhall offices) would be their preference. NB: Please only apply if you have resided in the UK for the past 5 years and are prepared to go through UK SC Security Clearance Overview This company is a Workflow & AI Orchestration Specialist. They're on a mission to modernise how public sector organisations manage casework, derive insight from data and deliver citizen services. They’re growing fast and looking for bright, dynamic people to help build their business. Role They’re looking for an experienced (Principle/Team Lead) Java Engineer to join their implementation team. You’ll work across Camunda BPMN/DMN process automation, API integration, and microservice orchestration — helping their public-sector clients build secure, scalable, and resilient digital services. You’ll collaborate with solution architects, business analysts, and designers to translate workflows into elegant, maintainable code. You’ll play a key part in defining technical standards, optimising runtime performance, and mentoring less- experienced engineers in workflow-centric delivery. This is an ideal role for someone who enjoys solving complex process problems through clean code, automation, and modern engineering practices. The role involves visiting client sites; the company will cover travel expenses. Frequency is uncertain but candidates should be comfortable with that being 2-3 days per week. Client sites could be anywhere but will most likely be in & around London. Responsibilities Design, develop, and deploy Camunda-based process and decision automation solutions Implement and integrate Java-based microservices, APIs, and connectors within orchestration flows Translate BPMN and DMN models into executable workflows and reusable components Collaborate closely with analysts and service designers to refine and iterate business processes Develop and maintain automated test suites, CI/CD pipelines, and containerised deployments Optimise Camunda engine performance and monitor workflow metrics for production environments Participate in code reviews, peer testing, and technical design discussions Contribute to their internal best-practice frameworks and automation accelerators Essential Eligible (have resided in the UK for the past 5 years) and prepared to go through UK SC Security Clearance Strong experience in Java software engineering and object-oriented design Strong Spring (Boot) experience Experience with REST APIs, and microservice architectures Knowledge of Docker and Kubernetes for containerisation and orchestration Proficiency in Git, CI/CD pipelines, and automated testing frameworks Understanding of event-driven design and message brokers (e.g. Kafka, RabbitMQ) Good knowledge of security, authentication, and integration patterns for enterprise systems Experience working in agile teams within digital transformation or automation programmes A willingness to learn BPMN and Camunda tooling Some exposure to process automation or microservice orchestration Desirable Experience with Camunda 8 (Zeebe) clusters and Operate/Tasklist components Experience implementing solutions using Camunda 7 or 8 (BPMN/DMN) Familiarity with Camunda connectors, external task workers, and scripting extensions Exposure to cloud platforms (AWS, Azure, GCP) and infrastructure-as-code (Terraform, Helm) Experience integrating process automation with case-management or service-orchestration platforms Understanding of agentic AI capabilities and how they can complement workflow automation Experience mentoring developers or contributing to open-source Camunda extensions Already holding UK security clearance (SC, DV, eDV) Other Stuff NB: Please only apply if you have resided in the UK for the past 5 years and are prepared to go through UK SC Security Clearance NB: for non-UK Citizens; we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment status. If you are utilising a work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Java software engineer object-oriented design OOD Camunda BPMN DMN Spring Boot REST API microservice architecture Docker Kubernetes containerisation orchestration Git CI/CD pipelines automated testing frameworks Kafka RabbitMQ Security authentication integration patterns enterprise systems agile digital transformation automation Java developer Camunda developer Zeebe Cloud AWS Azure GCP Terraform Helm process automation agentic AI artificial intelligence security clearance SC DV eDV London home based hybrid lead senior manager manage

Lead AI Engineer Location: Hybrid - London (Flexible)Salary: from £80,000 + bonus + benefitsContract: Permanent, Full-time About the Company We're partnering with a growing technology-focused business investing heavily in AI, automation, and next-generation digital platforms. The company is building AI-enabled tools and intelligent internal systems designed to improve operations, workflows, and decision-making across the organisation. With a strong engineering culture and a product-led environment, they are focused on delivering practical AI solutions that create measurable business impact. This is an opportunity to join during a key growth phase and play a leading role in shaping how AI is adopted and deployed across the business. The Role We're looking for an experienced Lead AI Engineer to join a growing engineering team and help design, build, and deploy scalable AI-powered applications and services. This is a highly hands-on role focused on turning ideas into production-ready solutions. You'll work across backend engineering, AI integration, APIs, cloud infrastructure, and automation while collaborating closely with product and technical stakeholders. You'll also help evaluate emerging AI technologies and contribute to best practices across AI engineering and platform development. Key Responsibilities • Design and build AI-enabled applications, tools, and workflows, • Integrate LLMs and AI services into production systems, • Develop APIs, backend services, automations, and data pipelines, • Translate business requirements into scalable technical solutions, • Prototype and iterate quickly on AI-driven features and use cases, • Write clean, maintainable, production-quality code, • Improve reliability, scalability, monitoring, and performance of AI systems, • Support deployment and operationalisation of AI applications, • Mentor engineers and contribute to technical best practices, • Work closely with product, engineering, and business stakeholdersRequired Background & Skills, • Strong software engineering background with backend development expertise, • Strong Python experience and cloud-native development, • Experience integrating AI / LLM technologies into real-world applications, • Experience building scalable production systems, • Understanding of APIs, distributed systems, microservices, and system design, • Experience with cloud platforms such as Azure, AWS, or GCP, • Familiarity with DevOps / MLOps tooling including Docker, Kubernetes, CI/CD, monitoring, and logging, • Comfortable operating in fast-paced, product-led environmentsNice to Have, • Experience with RAG pipelines, vector databases, or AI agents, • Exposure to machine learning workflows and applied AI systems, • Experience building internal AI platforms, copilots, or automation tools, • Startup or scale-up experienceWhy Apply?, • Join a growing team investing heavily in AI and emerging technologies, • Work on real-world AI products and production systems, • Hybrid London role with flexible working, • Strong progression opportunities within a modern engineering environment, • Competitive salary, bonus, and benefits package Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

CMC Markets is looking for an experienced Senior Network & Security Engineer to join our Technology team. This role plays a key part in designing, building and supporting our global network infrastructure, ensuring high performance, resilience and security across on-premise and cloud environments. You will work across both project delivery and business-as-usual operations, supporting critical trading platforms in a fast-paced, regulated environment. Key Responsibilities • Design, implement and maintain CMC Markets’ global LAN, WAN and cloud network infrastructure, • Deliver network engineering and design for new initiatives, alongside ongoing BAU growth and optimisation, • Monitor network performance, capacity and availability, providing proactive support and troubleshooting, • Implement new network services in line with internal policies, standards and security requirements, • Identify, advise on and remediate network and security risks, • Maintain secure VPN connectivity with external partners, ensuring alignment with current best practices, • Perform BAU changes and troubleshooting on Palo Alto and Cisco ASA firewalls, • Lead investigation and resolution of network and security incidents, • Collaborate closely with internal technology teams to resolve connectivity issues, • Maintain accurate technical documentation and diagrams, • Ensure all work is delivered in line with CMC Markets’ policies, procedures and compliance obligationsSkills & Experience Essential • Strong experience operating and troubleshooting Cisco ACI environments, • Hands-on experience with multicast networking, • CCNP-level networking knowledge or certification, • Proven experience designing and building data centre and cloud networks, • Solid knowledge of Cisco Catalyst and Nexus switch platforms, • Excellent documentation, communication and stakeholder engagement skills Desirable • Experience supporting Market Data network feeds, • Exposure to SD-WAN technologies, • Experience supporting low-latency production networks within trading or financial services environments, • Experience with Cisco ASA and Meraki Wireless, • Hands-on experience with Palo Alto firewalls CMC Markets is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.

Senior AI Engineer (Gen AI & RAG) Greater London, England, United Kingdom (On-site) Join an award-winning, internationally recognised B2B Consultancy as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative AI capabilities that power real-world business outcomes. This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value. Reporting to the Director of AI, you will bridge strategy and execution - translating architectural direction into high-quality, scalable implementations in close collaboration with AI Platform Engineering. What You'll Do • Design, build, and deploy production-grade generative AI systems that perform reliably at scale., • Implement and continuously improve RAG pipelines that effectively leverage proprietary and domain-specific content., • Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, quality, and long-term maintainability., • Apply model adaptation techniques - prompting, fine-tuning, distillation - to optimise for quality, latency, and cost efficiency., • Drive strong experimentation and evaluation practices, measuring correctness, faithfulness, and robustness across AI outputs., • Provide hands-on technical leadership, mentoring engineers and contributing meaningful code-level guidance across the team., • Work closely with platform, product, and delivery teams to accelerate the path from AI experimentation to production deployment., • Explore and apply advanced retrieval approaches, including Graph-RAG and structured knowledge representation, where they deliver clear value. Required Skills & Experience • Strong Python proficiency for production-grade AI development, with hands-on experience across LlamaIndex, LangChain, and LangGraph., • Proven track record building Retrieval-Augmented Generation (RAG) systems; Graph-RAG exposure is a distinct advantage., • Practical experience with model adaptation techniques including prompting, fine-tuning, instruction tuning, or knowledge distillation., • Solid grounding in evaluation and experimentation methodology for generative AI, with a focus on correctness, faithfulness, and robustness., • Demonstrable experience owning the technical design and delivery of complex AI, ML, or data-driven systems in live production environments., • A background operating at senior engineer or technical lead level - comfortable balancing rapid experimentation with disciplined production delivery, and communicating with clarity across technical and non-technical stakeholders. This is a compelling opportunity to work at the forefront of applied Generative AI, where your contributions directly shape customer-facing products and drive measurable business impact. You will bring genuine technical ownership and autonomy, supported by a world-class leadership team with a clear and ambitious AI roadmap. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.

Lead Platform Engineer • Lead Platform Engineer - Lonon / Hybrid, • Salary up to £110,000 + excellent benefits, • SC cleared or SC eligible candidates required, • Work on large scale cloud platforms supporting critical UK public sector services ABOUT THE CLIENT Our client is a global technology consultancy delivering secure digital transformation programmes across the UK public sector. Their engineering teams design and operate modern cloud platforms that power critical government services used by millions of citizens every day. Due to continued growth across multiple national programmes, they are looking to hire experienced Lead Platform Engineers to join their expanding engineering capability. THE BENEFITS • Salary up to £105,000 plus benefits, • Flexible model with office and client travel, • Clear technical career progression and leadership pathways, • Access to industry recognised certifications and training, • Opportunity to work on large scale national digital transformation programmes, • Strong engineering culture with knowledge sharing and collaboration, • Flexible benefits package and wellbeing support THE LEAD PLATFORM ENGINEER ROLE As a Lead Platform Engineer, you will work within agile engineering teams designing and building secure, scalable cloud platforms for major UK public sector organisations. You will help deliver enterprise scale infrastructure platforms that enable development teams to build and deploy secure digital services. Typical responsibilities include: • Designing and improving cloud infrastructure platforms, • Building Infrastructure as Code using Terraform, • Supporting container platforms using Kubernetes and Docker, • Developing CI/CD pipelines to automate delivery and deployment, • Improving platform monitoring, reliability and observability, • Providing technical leadership and mentoring engineers across delivery teams LEAD PLATFORM ENGINEER ESSENTIAL SKILLS • Strong AWS cloud platform engineering experience, • Infrastructure as Code experience using Terraform, • Container technologies such as Kubernetes and Docker, • Strong Linux engineering and scripting experience, • Experience building CI/CD pipelines using Jenkins, GitLab or similar tools, • Experience supporting large scale production cloud platforms, • Ability to provide technical leadership within engineering teams Candidates must be SC cleared or eligible to obtain SC clearance. TO BE CONSIDERED Please either apply through this advert or emailing me directly via . For further information please call me: / . By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Lead Platform Engineer, Senior Platform Engineer, DevOps Engineer, Site Reliability Engineer, AWS, Terraform, Kubernetes, Docker, Linux, CI/CD, Cloud Engineering, Infrastructure as Code, NSD

Lead AI-Enabled DevOps Engineer Technical leadership at the intersection of software, platforms, and AI We're seeking a Lead AI-Enabled DevOps Engineer to join a growing engineering capability and play a central role in shaping how AI is embedded into real, production-grade software systems. This is not a traditional people-management role. Instead, you'll lead through technical depth, architectural judgement, and delivery experience by setting direction, guiding teams, and making informed decisions as AI capabilities are integrated into modern software platforms. If you enjoy working where architecture, APIs, DevOps, and AI meet, and you care about building systems that are secure, operable, and genuinely useful, this role offers the chance to have real impact. What you'll be doing Your focus will be on enabling AI within modern, API-first software platforms, particularly where legacy or existing systems need to evolve to support new capabilities safely and effectively. You will: • Provide technical leadership across AI-enabled software and DevOps engineering teams, • Set architectural direction for API-first design, system integration, and platform enablement for AI, • Lead the modernisation of legacy or existing applications toward service-based, API-driven architectures, • Define and guide integration patterns between applications, platforms, and AI services, • Make pragmatic decisions about when and how emerging AI integration approaches (e.g. protocols such as MCP) should be adopted, • Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions, • Ensure solutions meet standards for security, resilience, performance, and operability, • Anticipate and manage architectural and operational risks associated with AI-enabled systems, • Champion strong engineering practices across software development, DevOps, and platform engineering, • Lead by example in complex environments where production reliability matters This is delivery-focused leadership, not experimentation for its own sake. What we're looking for We're looking for someone who combines senior technical credibility with the confidence to guide others and shape direction. Essential experience: • Strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer, or similar hands-on leadership role, • Excellent software engineering fundamentals: system design, clean code, testing, and long-term maintainability, • Deep experience designing and delivering API-driven and microservice-based systems, • Proven ability to modernise or integrate legacy systems into modern platforms, • Solid development experience in TypeScript and Python, • Experience spanning software delivery, CI/CD, infrastructure, and operations, • Comfortable setting direction and influencing teams without relying on formal authority, • Able to balance innovation with pragmatism in production environments Desirable experience: • Integrating software systems with AI platforms or AI-enabled services, • Exposure to emerging AI integration patterns or protocols (e.g. Model Context Protocol), • Platform engineering or DevOps at scale, • Experience working in regulated or security-conscious environments, • Defining technical standards or architectural direction across multiple teams You'll be trusted to make decisions that matter, and supported by teams who value strong engineering leadership. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Senior Kotlin Engineer (XP, GCP) - Investment Banking - London/Hybrid Daily rate: £600 - £800 (inside IR35) Duration: 6 months Start: ASAP My client is looking for an experienced Senior Kotlin engineer to support and extend a cloud-hosted platform used for bookbuilding issuances within Investment Banking Capital Markets. You will join a high-calibre London-based front office engineering team working on a next-generation issuance platform replacing a legacy bookbuilding system. This is a hands-on engineering role with a strong emphasis on Extreme Programming (XP) practices, including mob programming, test-driven development, and continuous refactoring. Engineers are expected to contribute across development, integration, and production support, collaborating closely to maintain high standards of code quality, system reliability, and performance. Required & Desirable Skills • Strong commercial experience building backend services using Kotlin, • Experience with event-sourced and event-driven architectures, • Deep familiarity with XP practices, including:, • Mob programming as a primary way of working, • Test-driven development (TDD), • Continuous refactoring and clean code principles, • Cloud experience with GCP, including:, • GKE and/or Cloud Run, • Cloud SQL and Memory store, • Artifact Registry and Cloud Logging, • Key Management, • Experience with CI/CD and SDLC in regulated or enterprise environments, • Comfortable working on production systems requiring high availability and accuracy Engineers in this role: • Work primarily in mobs, sharing ownership of design and code, • Build, test, and evolve services with a strong focus on clarity, simplicity, and maintainability, • Support the platform in production, using incidents and defects as opportunities to improve system design and resilience *Rates depend on experience and client requirements

Senior Machine Learning Engineer Applying rigorous machine learning to real-world problems that matter We're looking for a Senior Machine Learning Engineer to join a multidisciplinary data and AI team delivering high-impact, real-world solutions in a secure and highly regulated environment. This is a senior, hands-on practitioner role, not a people-management position. You'll operate with a high degree of autonomy, leading complex machine learning work end-to-end through technical depth, sound judgement, and delivery credibility. The organisation is outcome-led rather than technology-led. Where strong market solutions exist, they are used. Machine learning is built in-house only where problems are genuinely complex, niche, or sensitive - requiring experimentation, evaluation, and iteration beyond what can be bought. This means the work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: • Lead end-to-end machine learning delivery, from problem definition through experimentation, evaluation, and iteration, • Apply mathematical, statistical, and scientific reasoning to form hypotheses, quantify uncertainty, and interpret results, • Design and run structured experiments to assess model behaviour, performance, and user impact, • Work with real, imperfect operational data, not just curated or static datasets, • Collect, assess, and transform data to support model evaluation and continuous improvement, • Balance rigour with pragmatism, delivering solutions that are robust, proportionate, and fit for purpose, • Integrate machine learning components into wider systems, considering performance, reliability, and operational constraints, • Communicate complex technical ideas clearly to non-technical stakeholders, enabling informed decision-making, • Engage confidently in deep technical design and review discussions with peers, • Operate effectively within a strong technical assurance and review culture, • Collaborate with internal teams and selected external partners working at the leading edge of AIWhat we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: • Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent, • Strong grounding in applied mathematics, statistics, and scientific practice, • Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation, • Excellent Python skills for building, evaluating, and iterating on ML solutions, • Experience working with real-world, imperfect data from operational systems, • Strong software engineering practices, including readable, maintainable, and well-tested code, • Experience integrating ML components into broader production systems, • Clear understanding of data ethics, privacy, and responsible use of data, • Strong communication skills across technical and non-technical audiences, • Proven ability to lead work independently and take ownership of outcomesTechnologies you'll encounter The environment evolves, but typical tools include: • Python for experimentation, modelling, and evaluation, • Weights & Biases (or equivalent) for experiment tracking, • AWS, including services such as SageMaker and Bedrock, • Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools. Adaptability and outcome focus matter more than platform allegiance. Desirable experience • Working in secure, safety-critical, or heavily regulated environments, • Background in sectors such as energy, oil & gas, defence, or public sector, • Experience within formal technical assurance or governance processes, • Collaboration with external suppliers, partners, or research organisations, • Comfort operating at pace where quality, safety, and compliance are non-negotiable If you enjoy solving complex problems, applying scientific thinking to messy reality, and delivering ML that stands up to scrutiny, this role offers both challenge and meaning. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert tagged images. Now, they’re scaling globally — and need a world-class Lead AI Engineer to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) · Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements • Strong, current Python, including building and maintaining production services with FastAPI or similar., • Solid machine learning and computer vision background, with real models shipped to production rather than only notebooks and prototypes. • Hands-on experience with a computer vision training and labelling toolchain such as Roboflow, including dataset management and model evaluation. • Experience with Azure AI services such as Azure AI Foundry and Azure OpenAI, or a clear track record on an equivalent cloud AI stack and the ability to pick ours up quickly. • Practical understanding of working in a regulated or compliance-sensitive environment: data residency, de-identification, model governance, auditability, and why explainability matters. • The judgment to scope and lock a problem before building it, and to know when a model is good enough to ship., • OpenCV and classical computer vision alongside deep learning. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.

Senior Cyber Security Engineer | InfoSec | Cybersecurity • London Hybrid (2 days per week onsite), • £90,000 to £100,000 + 8% Bonus + Pension & Benefits, • Large government projects, • Requires eligibility for UK Security Clearance This is an opportunity to join one of the world's leading enterprise software organisations, delivering mission-critical technology used by major government agencies, emergency services, financial institutions and global enterprises. You'll be joining a highly regarded security team where your work will directly influence the protection of systems, services and data relied upon by millions of users worldwide.This is an excellent opportunity for a hands-on security professional who enjoys solving complex challenges, working with modern security tooling, and having real influence within a large-scale global technology environment.The Role As an Information Security Engineer, you'll play a key role in maintaining and enhancing the organisation's security posture across both corporate and production environments. You'll work with a wide range of security technologies, helping to detect, investigate and respond to threats whilst supporting security initiatives driven by regulatory, compliance and operational requirements.Skills & Experience • Experience working within a Security Operations, Cyber Security or Information Security role, • Strong understanding of security principles, controls and best practices, • Experience with security technologies such as SIEM, XDR, Endpoint Protection, Vulnerability Management, WAF or DLP, • Experience investigating and responding to security incidents Desirable Experience • Security certifications such as Security+, CISSP, SSCP, CISA, CCSK or similar, • Exposure to compliance frameworks including GDPR, PCI-DSS, SOC 2, HIPAA, FedRAMP or similar, • Experience within large-scale enterprise or highly regulated environments Hit apply to upload your CV Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Information Security Engineer London (Barbican) | Hybrid Working (2 days per week onsite)£80,000 - £90,000 + 8% Bonus + Excellent Pension & Benefits Must be eligible for UK Security Clearance Are you an Information Security Engineer looking to work on technology that genuinely makes a difference?This is an opportunity to join one of the world's leading enterprise software organisations, delivering mission-critical technology used by major government agencies, emergency services, financial institutions and global enterprises. Their platforms help protect communities, combat financial crime, secure critical infrastructure and support public safety on a global scale. With significant investment in cloud, AI, cyber security and digital transformation, you'll be joining a highly regarded security team where your work will directly influence the protection of systems, services and data relied upon by millions of users worldwide.This is an excellent opportunity for a hands-on security professional who enjoys solving complex challenges, working with modern security tooling, and having real influence within a large-scale global technology environment.The Role As an Information Security Engineer, you'll play a key role in maintaining and enhancing the organisation's security posture across both corporate and production environments. You'll work with a wide range of security technologies, helping to detect, investigate and respond to threats whilst supporting security initiatives driven by regulatory, compliance and operational requirements.Skills & Experience We're interested in candidates who have: • Experience working within a Security Operations, Cyber Security or Information Security role, • Strong understanding of security principles, controls and best practices, • Experience with security technologies such as SIEM, XDR, Endpoint Protection, Vulnerability Management, WAF or DLP, • Experience investigating and responding to security incidents, • Strong analytical and problem-solving skills, • Excellent communication and stakeholder engagement abilities, • The ability to work independently and take ownership of security initiatives Desirable Experience • Security certifications such as Security+, CISSP, SSCP, CISA, CCSK or similar, • Exposure to compliance frameworks including GDPR, PCI-DSS, SOC 2, HIPAA, FedRAMP or similar, • Experience within large-scale enterprise or highly regulated environments What's On Offer? • Salary of £80,000 - £85,000, • 8% Annual Bonus, • Generous Pension Scheme, • Hybrid Working (2 Days Per Week in Central London), • Modern cloud and security technology stack, • Exposure to large-scale global systems and infrastructure, • Ongoing training and professional development, • Clear progression opportunities within a global technology leader Security Clearance Eligibility Due to the nature of the work, applicants must be eligible to obtain security clearance. This typically requires British Citizenship or a minimum of 5 years continuous residency and employment within the UK.If you're looking for a role where you can make a genuine impact, work with cutting-edge security technologies and develop your career within a globally recognised technology organisation, we'd love to hear from you. If you have the relevant skills for this role and are ready for the challenge, then please send your CV to Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Founding AI Engineer Location: London (Hybrid / Flexible)Salary: Competitive DOE + Bonus + Equity Company Overview We are working with an early-stage technology company building AI-native systems that help large organisations better understand, govern, and secure complex data and identity ecosystems. Operating at the intersection of AI, cyber security, and enterprise data platforms, the business is focused on transforming how organisations model access, risk, and data relationships across increasingly distributed cloud environments. The team is small, highly technical, and product-focused, with a strong bias toward ownership, rapid iteration, and building systems that operate in complex, real-world enterprise environments. Engineering sits at the centre of everything, and individuals are expected to have a direct impact on product direction and architecture. The Role We are seeking a Founding AI Engineer / Engineering Lead to join the business at a pivotal stage as the platform moves from early MVP into scalable production use with enterprise customers. This is a hands-on technical leadership role, not a product management position. You will be responsible for designing, building, and scaling core components of an AI-driven enterprise platform, working across data, machine learning, and distributed systems. You will also work directly with early customers to understand real-world use cases and translate them into robust, scalable product capabilities. This role suits someone who still enjoys building and shipping code, but is comfortable influencing architecture, mentoring engineers, and shaping technical direction. You will have significant influence over: • Core system architecture, • AI/ML strategy and implementation, • Data modelling and enterprise integration patterns, • Early product design decisions, • Engineering standards and scalability approach Key Responsibilities • Design and build core components of an AI-native enterprise platform from the ground up, • Develop and deploy machine learning and LLM-based systems in production environments, • Build scalable data and AI pipelines across complex enterprise datasets, • Work closely with early enterprise customers to refine requirements and shape product direction, • Define and implement system architecture for AI, data, and integration layers, • Build agentic AI workflows and knowledge-driven systems using modern LLM frameworks, • Implement robust MLOps pipelines for model training, deployment, monitoring, and governance, • Contribute directly to production code in Python and related AI/data tooling, • Support technical decision-making around cloud architecture, scalability, and system design, • Help establish engineering best practices in a fast-moving early-stage environment Tech Stack • Python, • TensorFlow / PyTorch, • LLM frameworks (LangChain, LangGraph, or similar agentic AI tooling), • AWS / Azure cloud platforms (including AI services such as Bedrock), • Data engineering tools (e.g. AWS Glue or equivalent), • NLP, embeddings, vector databases, RAG architectures, • MLOps tooling for model deployment and monitoring, • Experience with distributed data systems and APIs Required Skills & Experience • Several years' experience in software engineering, data engineering, or AI engineering roles, • Strong academic background in Computer Science, Engineering, Mathematics, or similar, • Experience working in a product-led technology environment (SaaS, AI platform, or similar), • Proven ability to ship production-grade AI or data systems, • Strong Python engineering capability, • Experience with modern ML / LLM systems and frameworks, • Exposure to cloud-based AI/ML platforms (AWS, Azure, or GCP), • Comfortable working in early-stage environments with ambiguity and ownership, • Strong communication skills and ability to work directly with technical and non-technical stakeholders Bonus Experience (Highly Valued) • Cyber security / identity / access management (IAM / IdAM) exposure, • Cloud operations, DevSecOps, or infrastructure-heavy environments, • Experience in regulated or enterprise-scale domains, • Knowledge of enterprise data governance, data modelling, or integration architecture How You Work • Highly hands-on and enjoys building systems end-to-end, • Comfortable operating in ambiguity and shaping problems as well as solving them, • Strong bias toward delivery, iteration, and practical engineering outcomes, • Collaborative, but able to take full ownership of technical decisions, • Interested in building foundational systems, not just features What We Offer • Highly competitive base salary (DOE) + bonus, • Equity / stock options in a high-growth early-stage business, • Private medical insurance, • Hybrid working (London-based, flexible model), • High ownership role with significant influence on product and architecture Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. 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Senior Platform Engineer Build and operate the platforms that make AI and machine learning work at scale We're looking for a Senior Platform Engineer to join our team and play a key role in designing and operating the platform that underpins AI and machine learning delivery. This is a hands-on senior platform role, focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine learning and LLM workloads are trained, packaged, deployed, and served, this is not a "deploy models all day" role. Instead, your impact will come from creating the infrastructure, tooling, workflows, and guardrails that allow others to do that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI / ML platform, not just running clusters. You will: • Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams, • Extend Kubernetes with MLOps-specific capabilities, rather than treating it as a finished product, • Provideplatform-level support for:, • Model development and experimentation, • Model packaging, deployment, and promotion, • Scalable inference and LLM-based workloads, • Build shared platform services that enable consistent, repeatable model deployment, even where day-to-day deployment is owned by MLOps or ML engineers, • Work closely with data scientists and MLOps engineers to ensure the platform is genuinely usable and fit for purpose, • Own platform operability, reliability, security, and lifecycle management in production, • Troubleshoot complex issues that cut across infrastructure, Kubernetes, and MLOps layers, • Contribute to architectural decisions while remaining hands-on with implementationWhat we're looking for This role is ideal for someone who sees themselves first and foremost as a platform engineer, with the depth to support AI and ML workloads properly. Essential experience: • Strong background as a Senior Platform Engineer or Senior DevOps Engineer, • Deep, hands-on experience building and operating Kubernetes-based platforms, • Strong practical experience with Helm and Infrastructure as Code (e.g. Terraform), • Proven experience building internal platforms for other engineers, not just running workloads, • Strong grasp of operational fundamentals: monitoring, logging, reliability, incidents, and maintainability, • Comfortable collaborating closely with MLOps engineers and data scientists, even where responsibilities differML platform & MLOps knowledge (important) You don't need to be a full-time MLOps engineer - but you do need practical understanding of how ML and AI workloads behave in production. Experience or exposure to areas such as: • MLOps platforms (e.g. Kubeflow or similar frameworks), • Model serving and inference platforms (e.g. KServe, vLLM, or equivalent), • Supporting LLM-based workloads, including performance and scaling considerations, • Notebook environments such as JupyterHub, • Awareness of emerging tooling around Responsible / Trustworthy AI or comparable solutions This ensures you're building a platform that actually works for AI use cases - not a generic compute layer. Desirable experience • Working in organisations with a clear AI or data platform strategy, • Supporting data scientists or ML engineers at scale, • Experience in regulated, secure, or high-assurance environments, • Designing platforms that balance flexibility, governance, and control If you enjoy solving hard platform problems and understand that AI places real, specific demands on infrastructure, this role gives you the space and responsibility to make a genuine impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Senior ML Platform Engineer - Robotics London, HybridContract - Long TermSalary: Competitive Harnham are working with a growing robotics and AI company that is looking for a Senior ML Platform Engineer to join their team in London. This is a hands-on platform engineering role, focused on owning the software, tooling, web UI, and infrastructure layer used by data operators, ML engineers, and robotics engineers. You will be responsible for building and improving the internal applications and orchestration tooling that support robot data collection, dataset workflows, model training infrastructure, and on-robot deployment. The Role You will: • Own and extend internal web applications used for robot data collection, review, QA, and dataset publishing Build and maintain FastAPI backends, vanilla JavaScript frontends, CLI tooling, and supporting services Improve recording workflows, state machines, config validation, batch processing, stale-data recovery, and archival processes Containerise and orchestrate services to ensure reliable deployment across machines and lab environments Partner with ML engineers on dataset building, ingestion pipelines, distributed training infrastructure, and high-throughput data workflows Work with robotics engineers on ROS2 integration, robot data streams, deployment workflows, and hardware-adjacent platform tooling Improve testing, CI, observability, reliability, and performance across concurrent and IO-heavy systems Essential Skills You must have: • Senior-level software engineering experience, ideally 5+ years Strong production Python experience Experience with typing, async/await, threading, multiprocessing, and concurrent workloads FastAPI or another async Python web framework Vanilla JavaScript, including DOM manipulation, fetch, and WebSockets Experience building internal tooling, operator tooling, platform tooling, or workflow orchestration systems Strong CLI tooling experience, including argparse or Click, config validation, subcommands, and clear error handling Docker, CI, automated testing, and reproducible environments Strong software engineering fundamentals, including algorithms, data structures, networking, memory, IPC, and systems-level thinking Experience with high-throughput data pipelines, distributed systems, or performance-sensitive IO workloads Experience orchestrating external CLI tools from Python via subprocess, ideally ffmpeg or similar data/media processing tools Nice to Have It would be useful to have: • Distributed ML training infrastructure experience, such as PyTorch DDP, FSDP, DeepSpeed, sharded datasets, streaming readers, or GPU utilisation profiling ROS2 experience, including publishers, subscribers, QoS, message types, and topic debugging Experience working with physical robot hardware, camera streams, joint states, or latency-sensitive control paths OpenCV, NumPy, pandas, PyTorch, JAX, cloud, HPC, or LeRobot dataset format experience Experience working closely with ML researchers or robotics engineers in a fast-moving technical environment The Company The company is building advanced robotics and AI systems and is looking for someone who can sit at the intersection of software engineering, ML infrastructure, data tooling, and robotics integration. This is a strong opportunity for a senior engineer who wants real technical ownership and the chance to build the platform layer that supports robotics data collection, model training, and deployment.

An excellent opportunity for a Multi-Skilled Maintenance Engineer "Mechanical/Electrical" to join a Global Engineering Automation business with fantastic benefits and career progression. The Multi-Skilled Maintenance Engineer will also have the opportunity for continuous development and training while pursuing a progressive career path. OTE £58,000 Shift Benefits: Multi-skilled Maintenance Engineer 10% Pension, 23 Days Holiday, Life Insurance, Retail Discounts & more. Certified Qualifications plus Career Development Plan The right Multi-Skilled Maintenance Engineer will support site maintenance and repairs within a site-based team environment, utilising a purpose-built automation system. Multi-Skilled Maintenance Engineer Complete all servicing on a variety of automation equipment • Complete all repairs, • Diagnosis of Mechanical/Electrical faults and make repairs, • Positively react to any faults, • Ensuring flow at all times, • Ensure on-site spares are kept to the required level, • A successful multi-skilled maintenance engineer will ideally have experience in an FMCG, automation, manufacturing, or production environment., • NVQ 3 or apprenticeship-trained Electrical, Mechanical or ONC, HNC., • Basic PLC fault-finding knowledge in/outs The Multi-Skilled Maintenance Engineer Job Description & Benefits brochure will be forwarded upon application and conversation.

Principal Vulnerability Engineer | High-Growth Cybersecurity Scale-Up | Fully Remote (UK) • Remote – UK Based, • Up to £110,000 + benefits, • Permanent – Full time Got a track record of 0-day discoveries, public CVEs, and a reputation for finding bugs that actually move the needle? Join a research-driven, venture-backed cybersecurity scale-up trusted by Fortune 500 enterprises and critical infrastructure providers. Recognised by Gartner, $29M funded, and scaling fast worldwide. As a Principal Vulnerability Engineer, you’ll own the full vulnerability lifecycle – from discovery, through detection, to deployment – building production-grade tooling and pioneering LLM-powered offensive security workflows. What you’ll be doing: • Leading deep research across 0-days and n-days, with patch diffing across source-available and binary-only targets, • Designing tooling for automated vulnerability discovery, exploit validation, and detection signature generation, • Architecting production-grade, LLM-powered research workflows, • Focusing on the vulnerabilities that matter – RCEs, auth bypasses, the bugs that change a client’s risk posture overnight What they’re looking for: • 5+ years of mixed vulnerability research and software engineering experience, • A demonstrable track record of original 0-day discovery – public advisories, CVEs, or equivalent, • Deep n-day research and patch diffing chops, • Confidence across both web and binary vulnerability classes, • Production-grade software engineering experience, ideally in Python, • Mastery of Burp Suite, Ghidra/IDA, debuggers, fuzzers, • Hands-on experience using LLMs in research workflows

Senior Data Scientist ABOUT THE COMPANY The company is a group of established pharmaceutical and healthcare intelligence solution providers that support clients across the drug development life cycle, from pipeline through to patient access. THE TEAM The Data Science team focuses on developing AI, machine learning, and advanced analytics solutions that turn complex healthcare and pharmaceutical data into actionable insights for customers. The team works collaboratively across data science, product, domain experts, and engineering. Its work combines artificial intelligence, machine learning, statistical modelling, and sector knowledge to build customer-facing products and internal platforms. SCOPE OF THE ROLE In this role as a Senior Data Scientist, you will: • Collaborate with product partners and stakeholders to identify opportunities to apply AI / ML to content, data, and products • Conduct research and identify AI / ML algorithms and methods to solve specific business problems, • Implement rigorous testing and evaluation of potential solutions; review indicative results and proofof- concepts with multi-disciplinary teams as part of customer-led product development • Deploy solutions as production-grade microservices in collaboration with engineering and DevOps teams • Contribute to common data science platforms and shared data assets, • Stay up to date with advances in the field and share relevant developments with internal teams As a senior-level scientist, you will primarily be responsible for one major release at a time with a high degree of individual ownership. While not all research leads to successful deployed systems, previous successful launches have typically reached general availability within approximately six months from project start. Solutions may use a wide range of approaches, including agentic systems, model context protocol (MCP) servers, retrieval augmented generation (RAG), classical machine learning, knowledge graphs, data transformations, and business logic. The emphasis is on solving the right problem rather than using a specific technology for its own sake. Requirements: • Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience • 5+ years of experience developing AI / ML applications and data-driven solutions, • Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. • Experience with LLMs, including foundation model APIs, prompt engineering, and retrieval augmented generation • Substantial depth and breadth across state-of-the-art AI / ML techniques such as Generative AI, NLP, and Deep Learning • Understanding of computer science fundamentals, computational complexity, and algorithm design, • Ability to engineer and deploy well-architected software packages, • Strong communication and stakeholder management skills, with the ability to independently own and execute a project holistically at a high level • Experience mentoring junior team members Preferred Qualifications: • Deep expertise in engineering agentic AI systems, • Knowledge of the healthcare / pharma domain and experience applying AI to healthcare data, • Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute, and storage, • Ability to prototype proof-of-concept web applications with familiarity across the full stack, • Expert usage of AI coding tools and workflows

Data Engineer (Music Ecosystem) Remote This is a unique opportunity to work at the intersection of data engineering and the music industry, shaping how complex, multi-source data is transformed into meaningful, real-time insight. You will play a central role in building scalable data infrastructure that supports decisions across commercial, creative, and operational teams. The Company They are a data-driven organisation operating across multiple areas of the music ecosystem, including artist management, record label operations, and production. Their approach combines commercial insight with technical innovation to better understand and optimise artist performance and catalogue value. Working across a diverse portfolio, they rely on robust, well-structured data to power decision-making. This is a collaborative environment where data plays a key role in driving growth and efficiency. The Role and Deliverables • Design, build, and maintain scalable ETL and ELT pipelines that ingest data from streaming platforms, social media networks, and ticketing systems, • Integrate data across label, management, and external tracking sources to create a unified view of artist and catalogue performance, • Develop and optimise data models, including those supporting producer division metrics such as royalties, financial forecasts, and cost tracking, • Enhance and manage the central data warehouse to ensure efficient schema design and accessibility across teams, • Deliver the backend infrastructure for real-time dashboards, enabling seamless data flow for end users, • Implement and uphold data governance, privacy, and compliance standards, including secure handling of personally identifiable information Your Skills & Experience • Strong experience working within the music industry, with a practical understanding of its data landscape and challenges, • Advanced proficiency in Python for data engineering and strong SQL skills for data modelling and analysis, • Experience building and orchestrating data pipelines using tools such as Airflow or dbt within cloud-based environments, • Expertise in developing clear, user-friendly dashboards using tools such as Tableau or Looker Studio, • Deep understanding of music metadata, streaming analytics, and multi-platform reporting, • Strong knowledge of data privacy regulations and best practice in secure data management How to Apply If you are looking to apply your data engineering expertise within a complex and evolving music ecosystem, please apply to learn more about this opportunity.

Manager Lead AI Engineer (Audit Technology) A high-impact engineering leadership role at one of the world's most respected professional services firms, building production-grade AI systems that are reshaping the future of audit delivery. Job Title: Manager Lead AI Engineer (Audit Technology) Location: London / Manchester / Leeds / Glasgow (hybrid, flexible working available) Job Type: Permanent, Ful... ZIPC1_UKTJ

Senior Rust Engineer (Rust/C++) Core Trading Infra We are partnered exclusively with a top-tier digital asset exchange. They have a global presence, and are renowned for their security and platform performance. The team are looking to bolster their Rust Engineering team in Europe. Core Trading Infrastructure Team: The Core Systems team oversees all aspects of the trading platform's backend, including the trade execution engine, data distribution hubs, internal and external interfaces, and various supporting services. Our client is looking to hire Rust Engineers who either have Trading experience, or work in an industry where latency and performance matters. Responsibilities: • Develop and maintain robust Rust-based services and frameworks, • Create clean, testable, and highly performant code in Rust, • Contribute to the design of large-scale, distributed system architectures Requirements: • Expertise in crafting network services or asynchronous code using Rust. Ideally two years production Rust experience, or substantial open-source contributions., • Ability to independently troubleshoot issues across the entire stack (OS, network, application), • Experience developing distributed systems Package: This is a very exciting time to join the exchange. You will be working with arguably the most stable teams in crypto, and at the bleeding-edge of finance. Package incudes base salary (Up to 180,000 Euros), + RSU's + Bonus (8-15%) This opportunity is available in the below jurisdictions, the client is looking to hire people full-time (Not through B2B contract) and does not sponsor visas. United Kingdom, Ireland, Spain, Germany, Cyprus, United States of America (East Coast)

Job Title:Java / Cloud Technical Lead - London, Wembley Salary: Paying up to £80,000 per annum Location: Wembley London - 5 days on-site Our client, a well-established and diversified multinational organisation, is seeking a Java / Cloud Technical Lead to join their team. Skills • Solid Experience in Java development with significant, demonstrable experience in Spring Boot and Microservices architecture - not just familiarity, but production ownership., • Azure Integration: Proven experience building applications that consume Azure-native services, including Azure Key Vault for secrets, Azure Storage API, and Azure Service Bus for event-driven messaging., • DevOps Mindset: Solid understanding of the full CI/CD lifecycle; comfortable reading and contributing to Dockerfiles and GitHub Actions YAML workflows - not as a DevOps engineer, but as a developer who understands the pipeline their code flows through., • API Mastery: Deep expertise in RESTful API design principles, OAuth2 authentication flows (including FusionAuth integration), and DMARC-compliant transactional email logic via SendGrid. Duties • Engineering Standards: Define and enforce the clients Java and Node.js coding standards across the team - with a specific focus on robust exception handling, ninary stream handling, structured logging via Application Insights, and adherence to security-first development practices., • Cloud-Native Readiness: Ensure all application logic is optimised for containerisation from the ground up. This includes implementing proper Health Check endpoints, secure Secret Management via Azure Key Vault, correct port mapping for Container Apps, and stateless design principles compatible with Azure Container Apps (ACA)., • Technical Mentorship: Provide direct, hands-on mentorship to junior and mid-level developers - identifying technical debt at the codebase level, running structured code reviews, and building a culture of engineering excellence that prevents recurring quality issues such as corrupted or misconfigured deployments., • Architectural Liaison: Work closely with the Principal Architect to translate High-Level Designs (HLDs) into production-ready implementation plans - ensuring the development team understands not just what to build, but why the architectural decisions were made, and what constraints must be respected., • Quality Assurance: Champion a strong automated testing culture - unit tests, integration tests, and contract tests - to prevent regression and ensure deployments are verifiably stable before reaching production.

Full Stack AI Engineer London2-3 Days a Week On Site£500-£600 Per DayInside IR35Immediate Start The Company They are a large, established organisation investing heavily in applied AI to improve customer-facing and internal capabilities. The business operates at enterprise scale and provides standardised GenAI services through an internal platform. Technology teams work closely with product, architecture, and delivery stakeholders to solve meaningful, real-world problems. The environment values engineering quality, collaboration, and accountability for outcomes. The Role and Deliverables • Design, build, and maintain production-grade AI-enabled applications consuming standardised GenAI services such as LLM-based capabilities, RAG, summarisation, and classification., • Develop cloud-native microservice or full-stack applications using API-led architectures., • Integrate AI capabilities securely and reliably, in line with platform standards and guardrails., • Take end-to-end ownership from local development through CI/CD, deployment, monitoring, and incident resolution., • Build and maintain DevSecOps pipelines with automated testing, security controls, and infrastructure as code., • Implement observability, logging, metrics, and alerting to support live production workloads. Your Skills & Experience • Strong experience in software engineering, delivering complex distributed or microservice-based systems., • Proven capability building and operating production applications with embedded AI or machine learning features., • Strong programming skills in languages such as Java, Python, or Node.js, with exposure to modern frontend frameworks where relevant., • Solid experience integrating systems via APIs, including REST and event-driven patterns., • Hands-on DevOps expertise covering CI/CD, containerisation, and cloud platforms such as AWS or Azure., • Strong understanding of non-functional requirements including security, resilience, performance, and scalability., • Confidence working across multidisciplinary teams and communicating technical concepts clearly. How to Apply If you are looking for a contract role where you can deliver meaningful AI solutions at scale, apply to learn more about this opportunity.

Cloud Team Lead (Azure) Location: London / Hybrid Salary: £60,000 - £80,000 + Benefits Sector: Healthcare / Diagnostics Technology Role Type: Permanent, Full-Time About My Client My client is a premier provider of pathology and diagnostic services, delivering vital clinical insights that support healthcare networks across the UK. To support a major digital transformation, they are building out a dedicated cloud delivery team to build and scale a brand-new, greenfield platform from the ground up. They are looking for a Cloud Team Lead who bridges the gap between high-level Azure delivery and people leadership. This is an explicit leadership role with direct line management responsibilities - not a position for a senior engineer who primarily wants to review PRs. You will have full ownership of driving end-to-end delivery within a modern cloud ecosystem and shaping the team culture. What You'll Do Line Management & Mentorship: Take direct responsibility for line managing, coaching, and developing a talented team of cloud and platform engineers, fostering a high-performance culture. End-to-End Cloud Delivery: Own the entire product lifecycle of a brand-new, greenfield cloud product, steering it from initial architectural concepts through to live production. Cross-Team Collaboration: Act as the technical and delivery bridge for your team, actively negotiating endpoint contracts and integration boundaries with Tech Leads from other business domains. Cloud Operations & Governance: Oversee and optimise delivery within a modern, enterprise Microsoft cloud estate, ensuring robust security, identity management, and container orchestration. What My Client Is Looking ForEssential Experience Explicit Leadership: Proven experience in a dedicated Team Lead or Engineering Manager role, with direct line management responsibilities and a track record of driving delivery teams end-to-end. Greenfield Shipping: A proven history of successfully shipping a brand-new (greenfield) cloud product all the way into a live production environment. Microsoft Cloud Estate: Robust experience leading teams and running workloads within a Microsoft ecosystem, specifically utilising Azure, Entra, AKS (Azure Kubernetes Service), and Azure DevOps. Contract Negotiation: Strong technical communication skills with specific experience negotiating endpoint and API contracts with external or adjacent technical teams. Highly Desirable Regulated Domains: Experience working within highly regulated sectors such as Medical, Pharma, or Finance is strongly preferred. Why Apply? This is a rare opportunity to leave your thumbprint on a major greenfield cloud build that will directly impact the healthcare sector, offering a competitive salary of up to £80,000 depending on experience. You will get the autonomy to run your team your way, backed by the stability and resources of an established industry leader.

Lead Software Engineer London, Manchester, Birmingham, Cardiff or Northeast (Darlington)Role Overview:We are seeking an experienced Lead Software Engineer for a leading public sector organisation to support the design, development, and continuous improvement of secure, user-centred digital services. Working within a large-scale Agile environment, you will be responsible for designing, building, and maintaining scalable software solutions using Python and Django, while providing technical leadership across multidisciplinary teams. This is an excellent opportunity for a senior engineer to take ownership of complex systems, contribute to end-to-end architecture and delivery, and play a key role in ensuring the performance, resilience, and ongoing evolution of critical services within a highly regulated environment.Key Responsibilities • Lead the design and delivery of scalable, secure software solutions, • Translate user requirements into high-quality technical implementations, • Develop and maintain test-driven, production-ready code, • Support live services, ensuring performance, resilience, and stability, • Collaborate with multidisciplinary teams including BAs, UCD specialists, and engineers, • Oversee development across multiple Agile workstreams, • Drive continuous improvement across systems, processes, and engineering practices, • Ensure effective integration across complex, interconnected systemsSkills and ExperienceEssential, • Strong hands-on experience with Python and Django, • Proven capability in end-to-end system design and architecture, • Strong experience working in Agile, multidisciplinary teams, • Ability to lead technical delivery within complex environments, • Excellent communication and stakeholder engagement skills, • 5+ years’ experience in software engineeringTop 3 Evaluation Criteria, • Python & Django expertise, • System design and architecture capability, • Collaboration and leadership within Agile teamsDesirable, • Background in public sector or regulated environmentsPackage details:Contract 12-month contractHybrid (2 days per week onsite)Up to £750 PD (Inside IR35)SC clearance is essential

A Quantexa Certified Senior Data Engineer is required by this Tier 1 Management Consultancy. This Manager grade role operates at the intersection of architecture, delivery leadership, and client advisory - leading end-to-end Quantexa implementations across complex data ecosystems. As a Senior Quantexa Data Engineer in this major Management Consultancy, this role: • Leads full-lifecycle Quantexa solutions, from use-case design through to production deployment, • Assists the Technical Lead as the technical authority and client interface, translating regulatory or business problems into scalable Quantexa architectures, • Leads teams in shaping data models, ER logic, and performance tuning across high-volume, enterprise datasets, • Mentors teams while influencing delivery standards, design patterns, and best practice within the workstream In order to secure this role you will need the following: • Quantexa Technical Certification is mandatory., • Proven experience in leading teams across end-to-end Quantexa SDLC implementations, including design, build, testing, and deployment., • In depth experience gained in data engineering, data modelling and design in the context of large-scale analytics platforms, • Expert knowledge of Quantexa, Entity Resolution (ER), Scoring Framework, Contextual Network Generation, • Expertise in Big Data technologies, including:Scala, Apache Spark, Hadoop, ElasticSearch, • Strong stakeholder management and communication skills - capable of interfacing with both business and technical audiences. The work is heavily weighted toward Financial Services, Fraud, AML, and KYC use cases, with real emphasis on contextual decision intelligence at scale, rather than PoCs. This is an excellent opportunity to develop your career in Data Engineering and Quantexa all backed through excellent on going training as provided by one of the world's leading management consultancies. These flex hybrid roles will be based from the clients London offices, but all candidates must be fully flexible in terms of travel, as client projects may be based across the wider UK. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

.NET Engineer (Contract)Tech Stack .NET 10, C#, ASP.NET Core • Blazor (Server + WebAssembly), • SQL Server (stored procedures), • Telerik UI, YARP BFF, Entra ID, • Playwright + NUnitWhat You’ll Do, • Build and maintain Blazor UI (pages, forms, workflows), • Integrate with stored-procedure-backed data layer, • Debug across UI, API, auth, and DB layers, • Contribute to E2E testingWhat We’re Looking For, • Strong C# / ASP.NET Core, • Proven Blazor experience in production, • Solid SQL Server / stored procs, • Comfortable in large, opinionated codebases, • Experience with Telerik / similar librariesDetails, • 3 month contract (very likely to extend), • Hybrid in South London, • Outside IR35, • All applicants must have full right to work and live in the UK

Role: Service and Operations Manager Location: London Salary: £45,000 - £60,000 per annum Setup: Full-time | 5 days on-site About the Role An established and growing Managed Services provider is seeking an experienced Service and Operations Manager to lead the operational delivery of its Managed Print Services division. This role sits at the centre of service delivery, operational control and commercial performance. You will be responsible for leading service desk and engineering teams, ensuring operational efficiency, maintaining strong governance around stock and procurement, and driving service performance across a portfolio of business clients. This is a hands-on leadership role for someone who combines strong operational discipline with commercial awareness and a data-driven mindset. You will play a key role in safeguarding company assets, improving service profitability and ensuring consistently high standards of client service. Key Responsibilities Service Operations Leadership Lead and develop the service desk and field engineering teams. Ensure all client service requests are prioritised and resolved within agreed SLAs. Drive accountability, ownership and high performance across the service function. Implement structured preventative maintenance programmes.* Monitor and continuously improve customer satisfaction levels. Stock & Asset Management Take ownership of stock and asset management across warehouse, engineers and client sites. Conduct structured monthly stock takes and maintain accurate stock valuation. Investigate and resolve discrepancies and implement controls to prevent stock loss. Reduce obsolete and excess stock levels.* Stock is treated as a financial asset, so accuracy and accountability are essential. Procurement & Cost Control Oversee procurement of parts and consumables. Ensure correct allocation of parts and consumables across service jobs. Monitor supplier spend and identify anomalies. Improve cost efficiency and purchasing discipline.* Maintain clear approval processes and procurement audit trails. Systems & Performance Reporting Maintain operational control of service management systems and ERP platforms. Produce structured weekly and monthly operational reports. Analyse service profitability by client, device type and engineer. Identify inefficiencies and implement corrective actions. Establish and track measurable KPIs across service operations. This role requires proactive analysis and operational improvement, not simply report production. Warranty & Profit Recovery Manage consumables and parts warranty claims. Improve recovery from manufacturers. Monitor consumable yield performance. Contribute to improved device-level profitability. Client & Commercial Engagement Conduct service reviews with key client stakeholders. Build strong relationships with client contacts. Identify opportunities for service improvement. Support account retention and service development initiatives. Experience & Skills Required Proven experience leading a service desk or technical service environment. Experience managing field engineering teams or technical support teams. Strong stock control or inventory management experience. Experience overseeing procurement and supplier relationships. ERP or service management system experience (ECi or similar desirable). Strong analytical capability with the ability to interpret operational and financial data. Excellent communication skills and confidence working with both technical teams and clients. Highly organised, structured and accountable.* Managed Print Services experience is essential. Personal Attributes We are looking for someone who demonstrates: Strong operational discipline A governance and accountability mindset Commercial awareness Proactive problem solving Confidence challenging inefficiencies* Analytical and results-focused thinking The Opportunity This role offers the opportunity to take ownership of a critical operational function within a growing managed services organisation. You will have the ability to influence service delivery processes, improve operational performance and contribute directly to business efficiency and profitability.* If you have experience leading Managed Print service operations and are looking for a role where you can make a measurable operational impact, we would welcome your application.

Senior GenAI Developer Location: London, hybrid 2 to 3 days per weekContract: 6 monthsDay Rate: £500 to £700 per dayIR35: Inside IR35 A leading enterprise organisation is looking for a Senior GenAI Developer to join a customer-focused AI and data science team, helping to design, build and operate production-grade GenAI applications at scale. This is not a proof-of-concept role. You will be responsible for delivering secure, resilient and scalable AI-enabled applications that consume standardised GenAI services, including LLMs, RAG, summarisation and extraction capabilities. You will work closely with GenAI Engineers, Platform Engineers, Product, Architecture and Business Delivery teams to turn business problems into robust AI-powered applications. The role would suit a strong software engineer with hands-on experience building cloud-native applications, embedding AI capabilities into production systems, and taking ownership across the full delivery lifecycle. Key responsibilities: Design, build and maintain AI-enabled applications using enterprise GenAI services Develop production-grade microservices and/or full-stack applications Integrate LLM, RAG, summarisation and extraction services into secure, scalable applications Own end-to-end delivery, including development, CI/CD, deployment, monitoring and incident resolution Build API-led, cloud-native solutions with strong engineering standards Implement observability, logging, metrics and alerting for live production workloads Work closely with product, platform, architecture and business teams to deliver high-impact AI applications Ensure applications meet non-functional requirements around security, scalability, resiliency, performance and cost Essential skills: Strong software engineering background with experience delivering complex distributed systems Proven experience building and deploying production-grade applications that embed AI capabilities Strong Python experience Experience with LangGraph, Strands and DeepEval Strong AWS experience, ideally including Lambda, Fargate/ECS, ECR, Bedrock, S3 and RDS/Postgres Experience integrating applications via APIs, including REST and async/event-driven patterns Docker and Kubernetes/EKS experience Experience operating applications in cloud environments Strong understanding of security, resiliency, scalability, performance and observability Experience with monitoring tools such as CloudWatch and/or Datadog* Experience with testing strategy and LLM evaluation Nice to have: React, Next.js and TypeScript experience Experience delivering AI-enabled user experiences, such as chat-based interfaces or intelligent workflows* Familiarity with GenAI concepts, including LLMs, RAG patterns, prompt-driven workflows and AI service orchestration This is an opportunity to join a mature AI function delivering real GenAI applications into production, working on enterprise-scale use cases with strong platform, engineering and governance support.

Principal Full Stack Engineer & Architecture LeadLondon (Hybrid)£80,000 - £90,000 + BenefitsCommand Recruitment is proud to be partnering with an ambitious and rapidly growing healthcare company that is transforming access to specialist healthcare services across the UK.This is a fantastic opportunity for an experienced Principal Engineer or Technical Architecture Lead to play a key role in shaping a modern, cloud-native healthcare platform that is making a genuine impact on people's lives.Our client is building one of the UK's most innovative healthcare service platforms and is seeking a hands-on technical leader who can combine strategic architecture with strong full-stack engineering expertise.The OpportunityAs Principal Full Stack Engineer & Architecture Lead, you will take ownership of platform architecture, engineering standards, cloud infrastructure, and technical delivery across the business.You'll work closely with senior leadership, including the CTO, Director of Engineering, Product teams, and Data teams, to drive scalability, resilience, performance, and engineering excellence while remaining hands-on with development.This role would suit someone who enjoys solving complex technical challenges, mentoring engineers, and building modern distributed systems within a fast-moving product-led environment.Key ResponsibilitiesArchitecture & Technical Leadership Lead platform architecture and technical design decisions Define scalable, secure, and maintainable engineering standards Provide technical leadership across frontend, backend, APIs, infrastructure, and integrations Drive platform scalability, resilience, observability, and performance Partner with leadership teams to align technical strategy with business goals Act as the senior technical authority for complex engineering decisionsHands-On Engineering Contribute directly to backend and frontend production code Build scalable applications using Node.js, TypeScript, React, and Next.js Design and develop AWS serverless and event-driven systems Develop and optimise PostgreSQL databases and queries Support engineering teams with the delivery of complex technical initiativesCloud, DevOps & Infrastructure Design and maintain CI/CD pipelines and deployment automation Build Infrastructure as Code using Terraform or AWS CDK Improve engineering workflows, release processes, and platform reliability Implement best practices across monitoring, logging, security, testing, and resilience Ensure systems remain secure, scalable, and compliant with GDPR and healthcare regulationsEngineering Leadership Mentor and support engineers across the organisation Conduct code reviews and promote engineering best practices Help establish coding standards, testing frameworks, and operational excellence Foster a collaborative, high-performing engineering cultureTechnology StackCloud & Infrastructure AWS (Lambda, API Gateway, EventBridge, SQS, Step Functions, S3, CloudWatch, RDS)Backend Node.js, TypeScriptFrontend React, Next.js, Tailwind CSSData & Architecture PostgreSQL, Serverless, Event-Driven MicroservicesDevOps & Observability Terraform / AWS CDK, CI/CD, Monitoring & LoggingAbout YouWe are looking for a technically strong and commercially minded engineering leader with: 10+ years of software engineering experience Proven experience operating at Principal Engineer, Staff Engineer, or Architecture Lead level Strong AWS cloud and serverless architecture expertise Excellent full-stack development experience across Node.js, TypeScript, React/Next.js, and PostgreSQL Experience leading technical direction across engineering teams Strong understanding of distributed systems and event-driven architecture Experience designing scalable, secure, production-grade systems A hands-on mindset with a passion for building high-quality technologyDesirable Experience Life Science or regulated industry experience GDPR and data security knowledge AI/ML integrations or personalisation systems SaaS or startup experienceWhat's On Offer £80,000 - £90,000 salary Hybrid working (office 2-3 days per week) 30 days holiday including bank holidays Pension contribution Birthday day off Modern equipment provided Team events and collaborative culture Opportunity to shape a fast-scaling healthcare platform with genuine social impact

Application Support Engineer Hybrid Working - London - 2-3 day a week on site. Financial Services Lorien's leading banking client is looking for an Application Support Engineer to join them, this role is a position within the Rates and Credit eTrading Application Production team in London which is part of the APS Flow and Digital group (Application Production & Support). This a global team providing services to the Rates and Credit businesses within the Organisation and Global Markets. All team members are expected to quickly develop, or already have, a good understanding of eTrading systems (not necessarily Rates and Credit asset classes). The team is responsible for supporting globally the ION platform, in-house pricing applications, algorithmic trading components, STP, for Rates and Credit businesses. The ideal candidate will have strong skills and experience of working with Windows, Linux, Scripting, Jenkins, and Networking experience. This role is based in London. This role will be Via Umbrella. Working in a Hybrid Model of 2-3 day a week on site. Responsibilities: • Day-to-day management of production: monitoring, capacity management, problem resolution activities, change management., • Responsible for efficient resolution of issues to minimize impact to clients and internal users including liaising with end users, dev, team members, management, vendors, other internal IT teams, • Assist in the development, design and implementation of technical support systems., • Perform activities related to implementation and rollout for upgrades of existing services., • Work closely with development teams, business analysts, architects, all infrastructure teams to design and setup new systems, improve existing platforms (resilience, high availability, performance, low latency), • Coordinate and organise changes with external vendors, markets, ECNs., • Plan, schedule, implement and document the release/change activities., • Improve team documentation, keep it up-to-date and share knowledge with global team. Essential skills: • Excellent Linux and Windows OS proficiency, • Strong all-around IT background and proven experience in electronic trading markets on similar environments, • Ability to analyse Memory, CPU, NIC/Network, Multicast usage/data, • One or more of: PowerShell, Shell, Python, SQL, • Jenkins/Ansible/Artifactory pipeline expertise, • Good server, network and firewall infrastructure understanding, • Application support experience with Java, C++, .NET knowledge, • Project management skills to deliver medium scale projects Additional skills (nice to have): • Ability to tune operating systems platforms for optimum performance, • Ideally good knowledge and experience on ION technology, • Multicast messaging competency, • Monitoring (Geneos/Zabbix), • Splunk Personal Attributes: • Team player, self-motivated with a can-do attitude, • Strong analytical skills, follow-up capability and problem-solving ability, • Ability to own problems/incidents to successful conclusion/fix, • Detail-oriented and organized, • Excellent written and verbal communication skills, • Capable of prioritizing tasks and multi-tasking project, • Flexible and adaptable to new environments. Quickly learn new systems/products IND_PC3 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Platform Engineer London, Hybrid (2x Per Week in Office)Up to £80,000This is an opportunity to join a fast growing, venture backed fintech at a genuinely pivotal moment. The platform has already scaled to support a complex, high value user base, and the business is now preparing for a major re-architecture that will shape the next phase of growth. You will play a key role in redefining core infrastructure, driving automation, and influencing technical direction from day one.The Company They are a well funded financial technology business operating in the high wealth space, focused on delivering intelligent, data driven financial insight rather than traditional asset or wealth management. The platform aggregates complex financial data into a single, intuitive view and provides tailored guidance aligned to long term life goals. The culture is collaborative, ideas led, and engineering driven, with a strong emphasis on quality, transparency, and continuous improvement.The Role • Design, build, and evolve a scalable platform environment as part of a small, high impact engineering team., • Play a hands on role in a significant re platforming programme, modernising Kubernetes clusters, tooling, and architectural foundations., • Drive automation and reliability across infrastructure to support growth, performance, and security., • Collaborate closely with engineering, data, and leadership stakeholders to shape technical decisions and priorities., • Contribute ideas, challenge assumptions, and help define best practice across the platform function.Your Skills and Experience, • Strong commercial experience working with Kubernetes in production environments., • Cloud platform exposure across AWS, GCP, or Azure, with an understanding of scalable infrastructure design., • Infrastructure as Code experience, with Terraform or similar tooling., • Confidence operating in change heavy environments such as scale ups or transformation programmes., • Clear communication skills and a proactive approach to collaboration and problem solving.What They Offer, • Salary up to £80,000 depending on experience., • Hybrid working from a London office, with flexibility depending on role and responsibilities., • The chance to influence architecture and platform strategy at a critical stage of growth., • A supportive, non hierarchical culture that values new ideas and technical ownership., • Long term career progression within a growing technology organisation.

MLOps Engineer, Palantir PlatformFully Remote 6 Month ContractOutside IR35£550 to £650 per dayThe Company They are a large, data driven organisation operating at scale, with a strong focus on using advanced analytics and machine learning to inform decision making. The business invests heavily in its data platforms and engineering capability, creating an environment where robust MLOps practices are essential. Teams are collaborative, delivery focused and used to working with senior technical stakeholders.The Role and Deliverables • Design, build and maintain MLOps pipelines on the Palantir Foundry platform., • Enable reliable deployment, monitoring and retraining of machine learning models in production., • Partner with data scientists and engineers to operationalise models efficiently., • Implement best practices around CI/CD, model versioning and data quality., • Support platform optimisation, scalability and reliability across environments., • Produce clear technical documentation to support ongoing delivery.Your Skills & Experience, • Strong experience in MLOps or machine learning engineering within production environments., • Hands on capability with Palantir Foundry, including pipelines and operational workflows., • Solid Python skills and experience supporting end to end ML lifecycles., • Practical knowledge of CI/CD, containerisation and cloud based infrastructure., • Confidence working with complex data systems and multiple stakeholders.How to Apply If you are an MLOps Engineer with Palantir experience looking for a meaningful contract project, please apply with your details below!

Senior Python Engineer (Django / DevOps / IaC) Retail Hybrid: either London or Welwyn Garden City (whichever is closest) 3 days per week6 months£850 per day In short: Our Application Security team require a strong Python generalist to run, deploy and maintain purpose-built applications. You'll need solid experience across Python development, DevOps, Cloud and an awareness of security protocols. About The Role We are committed to align with the digital advancements of the business and secure new technologies that enable our business to have a superior focus on serving our customers, communities, and planet. As part of our Security Engineering Platforms team, we build and operate centralised security tooling that enables thousands of developers to ship secure software by default, at scale. We are seeking a skilled Python Developer to join our engineering team. You will be responsible for building robust, secure, and scalable services that automate security testing at scale using Django and related technologies. Beyond coding, you'll actively engage in architecture discussions, security implementations, CI/CD pipeline development, and help transition MVP applications into production-grade systems. Your work will directly strengthen the security posture of applications, APIs, and cloud-native systems across the business by making security tooling fast, reliable, and seamless for every development team. You will be responsible for • Design, develop, and maintain scalable REST APIs using Django., • Build and operate asynchronous task pipelines (Celery/Redis) that orchestrate security scanning at scale., • Ensure best practices for code quality, performance, and security., • Integrate robust security practices into all API layers, including authentication, authorisation, data validation, and protection against vulnerabilities., • Develop and manage CI/CD pipelines for automated testing, deployment, and monitoring., • Work closely with core devops teams or independently handle infrastructure and deployment tasks., • Review, refactor, and productionise MVP codebases, improving code clarity, documentation, and maintainability., • Manage Docker container images through build, test, and deploy to kubernetes, • Collaborate cross-functionally with product managers, frontend developers, and engineering teams., • Leverage AI-assisted development tools to accelerate code review, testing, and documentation., • Participate actively in technical discussions, contributing innovative ideas and solutions. You will need • Strong experience in Python development, specifically with Django and Django REST Framework at senior level., • Experience with asynchronous task queues (Celery, Redis), • Solid understanding of REST API design principles and best practices., • Proficiency in relational databases (PostgreSQL/MySQL), and ORM (Django ORM in particular)., • Familiarity with containerisation and orchestration (Docker, Kubernetes), • Strong understanding of software engineering best practices, including testing (unit, integration, and end-to-end)., • Experience deploying applications to cloud platforms (Azure preferred)., • Effective communication and ability to collaborate with cross-functional teams to integrate security practices., • Experience working in an agile environment, such as Scrum. Nice to have • Experience with SAST/DAST tooling and security automation, • Familiarity with API security patterns (JWT, OAuth, rate limiting), • Comfortable working with AI-assisted development tools, • Experience with Infrastructure as Code (Terraform) and configuration management (Ansible), • Experience operating and administering Linux distributions (RHEL, Ubuntu), • Familiarity with cloud-native services (Azure AKS, ACR), • Exposure to frontend frameworks (React, Vue.js), • Operations and technical troubleshooting experience Candidates will ideally show evidence of the above in their CV in order to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunities employer. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Principal Full Stack Engineer & Architecture Lead London (Hybrid) £80,000 - £90,000 + Benefits Command Recruitment is proud to be partnering with an ambitious and rapidly growing healthcare company that is transforming access to specialist healthcare services across the UK. This is a fantastic opportunity for an experienced Principal Engineer or Technical Architecture Lead to play a key role in shaping a modern, cloud-native healthcare platform that is making a genuine impact on people's lives. Our client is building one of the UK's most innovative healthcare service platforms and is seeking a hands-on technical leader who can combine strategic architecture with strong full-stack engineering expertise. The Opportunity As Principal Full Stack Engineer & Architecture Lead, you will take ownership of platform architecture, engineering standards, cloud infrastructure, and technical delivery across the business. You'll work closely with senior leadership, including the CTO, Director of Engineering, Product teams, and Data teams, to drive scalability, resilience, performance, and engineering excellence while remaining hands-on with development. This role would suit someone who enjoys solving complex technical challenges, mentoring engineers, and building modern distributed systems within a fast-moving product-led environment. Key Responsibilities Architecture & Technical Leadership • Lead platform architecture and technical design decisions, • Define scalable, secure, and maintainable engineering standards, • Provide technical leadership across frontend, backend, APIs, infrastructure, and integrations, • Drive platform scalability, resilience, observability, and performance, • Partner with leadership teams to align technical strategy with business goals, • Act as the senior technical authority for complex engineering decisions Hands-On Engineering • Contribute directly to backend and frontend production code, • Build scalable applications using Node.js, TypeScript, React, and Next.js, • Design and develop AWS serverless and event-driven systems, • Develop and optimise PostgreSQL databases and queries, • Support engineering teams with the delivery of complex technical initiatives Cloud, DevOps & Infrastructure • Design and maintain CI/CD pipelines and deployment automation, • Build Infrastructure as Code using Terraform or AWS CDK, • Improve engineering workflows, release processes, and platform reliability, • Implement best practices across monitoring, logging, security, testing, and resilience, • Ensure systems remain secure, scalable, and compliant with GDPR and healthcare regulations Engineering Leadership • Mentor and support engineers across the organisation, • Conduct code reviews and promote engineering best practices, • Help establish coding standards, testing frameworks, and operational excellence, • Foster a collaborative, high-performing engineering culture Technology Stack Cloud & Infrastructure AWS (Lambda, API Gateway, EventBridge, SQS, Step Functions, S3, CloudWatch, RDS) Backend Node.js, TypeScript Frontend React, Next.js, Tailwind CSS Data & Architecture PostgreSQL, Serverless, Event-Driven Microservices DevOps & Observability Terraform / AWS CDK, CI/CD, Monitoring & Logging About You We are looking for a technically strong and commercially minded engineering leader with: • 10+ years of software engineering experience, • Proven experience operating at Principal Engineer, Staff Engineer, or Architecture Lead level, • Strong AWS cloud and serverless architecture expertise, • Excellent full-stack development experience across Node.js, TypeScript, React/Next.js, and PostgreSQL, • Experience leading technical direction across engineering teams, • Strong understanding of distributed systems and event-driven architecture, • Experience designing scalable, secure, production-grade systems, • A hands-on mindset with a passion for building high-quality technology Desirable Experience • Life Science or regulated industry experience, • GDPR and data security knowledge, • AI/ML integrations or personalisation systems, • SaaS or startup experience What's On Offer • £80,000 - £90,000 salary, • Hybrid working (office 2-3 days per week), • 30 days holiday including bank holidays, • Pension contribution, • Birthday day off, • Modern equipment provided, • Team events and collaborative culture, • Opportunity to shape a fast-scaling healthcare platform with genuine social impact

Robert Half Technology are assisting a leading sports media organisation to recruit an AI Engineer on a 6-month contract basis. ASAP start. Outside IR35. Hybrid working - London based. Role The AI Engineer will design, develop, and deploy scalable AI and machine learning solutions across digital sports media platforms. Collaborate with product, data, and engineering teams to deliver AI-driven features and audience engagement tools. Build and optimise LLM-powered applications, recommendation systems, and intelligent content workflows. Develop and maintain robust data pipelines and model deployment infrastructure. Implement monitoring, evaluation, and governance processes for AI systems to ensure reliability and performance. Work with structured and unstructured datasets including video, social, audience, and editorial content. Optimise AI models and inference pipelines for scalability, latency, and cost efficiency. Troubleshoot and resolve issues across AI systems, APIs, and production environments. * Keep abreast of emerging AI technologies, industry trends, and best practices within sports media and entertainment. Profile The AI Engineer will have strong experience developing and deploying machine learning and generative AI solutions in production environments. Strong Python engineering skills with experience using frameworks such as PyTorch, TensorFlow, LangChain, or similar. Experience working with LLMs, prompt engineering, vector databases, and retrieval augmented generation (RAG) architectures. Strong knowledge of cloud platforms including AWS or Azure. Experience with data engineering and orchestration tools such as Databricks, Airflow, Docker, and Kubernetes is desirable. Must have previous experience working within a small to medium-sized business (SME), start-up, or scale-up environment. Comfortable operating in fast-paced, evolving businesses with changing priorities and hands-on delivery expectations. Strong understanding of APIs, microservices, and scalable backend systems. Excellent problem-solving and analytical skills with strong attention to detail. Strong communication and stakeholder management skills, with the ability to work effectively in cross-functional teams. * Previous experience within media, sports, broadcasting, or digital content environments would be advantageous. Company Leading sports media organisation with offices in London Hybrid working environment * Fast-paced, collaborative, and technology-driven culture Salary & Benefits The salary range/rates of pay is dependent upon your experience, qualifications or training. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Senior Data Engineer (Scala/Spark) London | Hybrid Working | Initial 12 month contract | £450-550pd PAYE + holiday pay We are partnering with a world-leading technology organisation seeking an experienced Senior Data Engineer to join a high-performing engineering team responsible for building and operating large-scale data platforms that support advanced machine learning and recommendation systems used by millions of users globally. This is an opportunity to work on highly complex distributed systems, developing production-grade data pipelines that power critical machine learning workflows at scale. As a Senior Data Engineer, you will design, build and operate large-scale batch data pipelines using Scala and Apache Spark. Working alongside Machine Learning Engineers, Researchers and Platform Engineers, you will help develop the infrastructure and tooling required to process vast datasets and support the delivery of intelligent, data-driven products. This role sits at the intersection of data engineering and machine learning infrastructure, with a strong focus on performance, scalability, reliability and operational excellence. Key Responsibilities • Design, develop and maintain large-scale Scala and Spark data pipelines., • Build new data processing capabilities within an established engineering framework., • Own the performance, reliability and operational health of production data pipelines., • Develop tooling and infrastructure that supports machine learning workflow execution and deployment., • Optimise data processing systems for throughput, scalability and efficiency., • Collaborate closely with Data Engineers, ML Engineers and Research teams to deliver high-quality datasets and platform capabilities., • Identify and resolve bottlenecks, performance issues and system failures., • Contribute to engineering best practices, code quality and platform improvements. About You You are an experienced data engineer who enjoys building robust, scalable systems and operating them in production environments. You'll bring: • Strong commercial experience developing applications and data platforms using Scala., • Deep expertise with Apache Spark and distributed data processing., • Proven experience designing, building and supporting production-grade data pipelines., • Strong understanding of software engineering principles, testing and operational best practices., • Experience troubleshooting complex performance, reliability and scalability challenges., • Ability to work effectively within established engineering frameworks and standards., • Excellent communication and collaboration skills. Desirable Experience • Experience working within large-scale data or platform engineering environments., • Exposure to machine learning infrastructure, pipelines or production ML systems., • Experience supporting data processing frameworks, orchestration platforms or workflow tooling., • Familiarity with JVM-based distributed systems., • Experience working within highly scalable cloud or distributed computing environments. What You'll Gain • The opportunity to work on data systems operating at global scale., • Exposure to cutting-edge machine learning infrastructure and workflows., • Collaboration with world-class engineers, researchers and technical leaders., • A highly technical engineering environment focused on quality, scalability and innovation. This role would suit a Senior Data Engineer, Scala Engineer, Spark Engineer, Data Platform Engineer or Distributed Systems Engineer looking to work on complex engineering challenges within a world-class technology environment.

Lead Platform Engineer Building the platforms that make AI and machine learning work in production We're looking for a Lead Platform Engineer to join a growing engineering organisation and play a pivotal role in designing, building, and operating an MLOps platform that enables AI and data science teams to deliver reliably in production. This is a senior, hands-on technical leadership role, not a people-management position. You'll lead through technical depth, judgement, and delivery, building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale. The focus is not simply on running Kubernetes clusters - it's on layering real MLOps capability on top of Kubernetes to create a platform that is usable, supportable, and trusted in live environments. What you'll be doing You'll act as a technical leader across platform engineering, DevOps, and MLOps, remaining deeply involved in implementation. You will: • Provide technical leadership across platform, DevOps, and MLOps activities, • Design, build, and operate a Kubernetes-based MLOps platform supporting the full model lifecycle, • ImplementandrunMLOps tooling that enables teams to:, • Experiment with models and notebooks, • Package, version, and deploy models, • Run scalable inference and LLM-based workloads, • Build and operate model serving and inference platforms within Kubernetes environments, • Work closely with data scientists and ML engineers to ensure the platform is usable, well-documented, and aligned to real workflows, • Own platform operability, reliability, security, and supportability in production, • Troubleshoot complex issues across Kubernetes, platform services, and MLOps layers, • Contribute to architectural decisions while staying hands-on with delivery, • Apply pragmatic engineering judgement in environments where AI workloads place real operational demands on infrastructureWhat we're looking for This role suits someone who is fundamentally a strong platform engineer, with the depth to apply those skills confidently to MLOps. Essential experience: • Strong background as a Senior or Lead Platform Engineer / DevOps Engineer, • Deep, hands-on experience building and operating Kubernetes-based platforms, • Strong practical experience with Helm and Infrastructure as Code (e.g. Terraform), • Proven experience extending Kubernetes with higher-level platforms and services, not treating it as the finished product, • Strong understanding of operational fundamentals: monitoring, logging, incident response, reliability, and maintenance, • Comfortable working directly with engineers and data scientists to support real production workloadsMLOps experience (key to the role) You'll work deeply "in the weeds" of MLOps platforms, enabling ML and LLM workloads (not model research). Experience in areas such as: • Building or operating MLOps platforms using tools like Kubeflow or similar frameworks, • Running model serving and inference platforms (e.g. KServe, vLLM, or equivalent), • Supporting LLM-based workloads, including optimisation and serving considerations, • Providing notebook-based environments such as JupyterHub in secure platforms, • Exposure to emerging tooling such as InstructLab, Trustworthy / Responsible AI tooling, or comparable solutionsDesirable experience, • Building internal platforms specifically for data science and ML teams, • Operating AI-enabled or data-driven systems in production, • Experience in regulated, security-conscious, or high-assurance environments, • Designing platforms that balance user flexibility with governance and control If you believe Kubernetes is the base, not the product, enjoy operating close to the metal, and like solving hard platform problems that enable others to succeed, this role offers real challenge and impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.