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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, • Implement andrunMLOps 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 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 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 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

PRINCIPAL DEVOPS ENGINEER- SC CLEARED PRINCIPAL DEVOPS ENGINEER- Permanent opportunity for a Principal DevOps Engineer with SC Clearance. - Salary up to £110,000 DOE - Hybrid opportunity with London based offices - To apply, please call Laura Jackson on , or email with an up-to-date CV. WHO ARE WE?We're hiring for DevOps Engineers at principal level to join a top consultancy delivering cutting-edge solutions for industry-leading Public Sector and Defence clients. You'll have the opportunity to work across multiple high-impact, innovative and mission-critical projects, shaping solutions that make a real difference. Due to the sensitive nature of the work, an SC Clearance eligibility is required. THE PRINCIPAL DEVOPS ENGINEER- Active SC Clearance or SC Clearance eligibility - London Based or ability to travel to London.- Experience as in a Senior/ Principal DevOps/ Platform engineering role PRINCIPAL DEVOPS ENGINEER ESSENTIAL SKILLS- Strong Linux expertise (RHEL/CentOS) with experience supporting production systems- Git for version control and collaborative development (GitHub / GitLab)- AWS cloud infrastructure, ideally with Infrastructure as Code using Terraform- Kubernetes and container technologies (Docker) for modern platform environments- Experience working with CI/CD pipelines and automation tooling (e.g. Jenkins, Bamboo)- Strong understanding of modern platform architecture, microservices and cloud-native systems- Good communication skills and ability to provide technical leadership. TO BE CONSIDERED:Please either apply through this advert or emailing me directly on . 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 SKILLSDEVOPS ENGINEER, DEVOPS, SITE RELIABILITY ENGINEER, PLATFROM ENGINEER, PLATFROM, CLOUD, AWS, AWS CLOUD, AWS ENGINEER, ANSIBLE, TERRAFORM, CLOUD SUPPORT, CLOUD INFRASTRUCTURE, DEFENCE, NATIONAL SECURITY, DV CLEARED, DV CLEARANCE, SECURITY CLEARED, SC CLEARANCE, NSD

We’re seeking a UK-based PHP Full Stack Software Engineer to support the continued growth of our sustainability and digital learning platforms. You’ll be a hands-on developer who enjoys building modern, responsive user experiences, writing clean, scalable code, and collaborating closely with designers and cross-functional teams. This is an opportunity to contribute to platforms that deliver meaningful impact at scale, improving the learning experience for thousands of users. The Role at a Glance: PHP Full Stack Software Engineer Old Street, London / Hybrid Working / 1 day a week in the office £70,000 - £80,000 Plus fantastic benefits: 8% employer pension contribution, mental health support, fitness allowance, enhanced maternity/paternity pay, volunteer days, and more… Permanent - Full Time Product / Service: Sustainability Consultancy; Training & Events Culture: Close knit, small and agile company, flat hierarchy, direct communication with director and hiring managers alike Heads-Up – We really value a short intro covering note :-) Closing Date: 22nd May Who we are: Action Sustainability is a leading consultancy with the aim of inspiring sustainable business. Our team comprises 60+ full and part-time employees and associates. Many of our clients are sector leaders on sustainability and supply chain issues, and we are proud of our reputation for leading the thinking in this area. Action Sustainability drives lasting change through innovative technology, expert advisory, and award-winning learning solutions. We partner with leading organisations, including the NHS and Houses of Parliament, to create measurable impact across industries. An accredited Living Wage employer, we’ve been recognised by Best Companies with a 'One to Watch' status for our commitment to an outstanding workplace. About the Role: This is a hands-on development role focused on delivering high-quality front-end experiences alongside robust PHP-based functionality. You’ll work closely with designers and stakeholders to bring user experiences to life, while contributing to the ongoing development and optimisation of our Moodle-based platforms. We make extensive use of AI-assisted development tools and are continuing to expand this across the team, so you’ll play a part in shaping how these are used effectively. Key Responsibilities: You will collaborate with designers to translate detailed front-end specifications into high-quality web pages, building modern, responsive interfaces that enhance user experience. You will write clean, reusable code across both front-end and PHP components, while contributing to code reviews and supporting other developers where needed. You will take ownership of software quality, ensuring best practices are followed across development, testing, and performance optimisation, including writing and maintaining unit and Behat tests. System Management & Support: You will troubleshoot issues and optimise applications to ensure performance, scalability, and reliability across platforms. You will ensure systems meet accessibility standards, GDPR requirements, and data protection best practices, while supporting QA processes and maintaining data integrity. Collaboration & Stakeholder Management: You will work as part of a cross-functional team alongside engineers, product designers, and product managers, contributing to all stages of the agile development lifecycle. You will engage with wider stakeholders including Learning Technologists, Sustainability Consultants, and Designers, providing technical guidance and translating requirements into effective solutions. Continuous Improvement: You will stay up to date with modern front-end technologies, particularly HTML, CSS, and JavaScript, and proactively suggest improvements to user experience and development practices. You will contribute to the evolution of AI-assisted development within the team, helping to identify opportunities for efficiency and quality improvements. Essential Requirements: You must have UK work authorisation and strong English communication skills, alongside 3–5 years of commercial front-end development experience. You’ll bring strong technical capability across HTML, CSS3, and JavaScript, with experience working with relational databases such as MySQL or PostgreSQL, and confidence using Git for version control. Experience with Bootstrap, Ajax, and jQuery is important, alongside a solid understanding of writing optimised, maintainable code. Professional Skills: You are a strong problem-solver who can optimise code and troubleshoot effectively. You communicate clearly, work well with others, and are comfortable managing multiple priorities in a collaborative environment. Desirable Skills: Experience with Moodle would be highly beneficial, along with familiarity with Docker, cloud platforms, CI/CD pipelines, and Linux environments. Knowledge of authentication protocols, WordPress, or additional programming languages would be advantageous, as would any exposure to AI-assisted coding tools or project management practices. What’s on Offer: • A competitive salary of £70,000 - £80,000, • 25 days + 8 statutory holidays, plus an extra day for your birthday, • Hybrid working, • 8% employer pension contribution, • Profit share scheme and discretionary bonus, • Fitness allowance, • Enhanced maternity/paternity pay and childcare schemes, • Access to our vibrant Old Street office with lounge, café bar, gym, and rooftop terrace, • Ongoing professional development tailored to your career goals Apply today and be part of a team using technology to drive real-world sustainability impact. Application notice... We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.

AI Engineer – Azure Foundry • Remote with occasional travel to London, • 6 months initial contract, • £550-£650 per day via Umbrella This role requires successful candidates to go through an SC Clearance. A minimum of 5 years continuous UK residence required. Day-to-day of the role: • Design, build, and maintain AI models and agentic systems that improve regulatory services and internal operations., • Develop and tune machine learning models to ensure accuracy, fairness, and reliability in production use., • Orchestrate intelligent automation workflows using low code/no code platforms and agentic AI frameworks., • Monitor and maintain deployed models and agents, addressing performance drift and ensuring responsible use., • Work as part of a team to ensure business resilience and fix on fail capability of our portfolio of AI products., • Ensure compliance with standards for security, data governance, and responsible AI., • Support proofs of concept and innovation pilots, evaluating new approaches and technologies., • Share knowledge across the organisation, acting as a subject matter expert and champion for AI adoption., • Help to develop internal standards and processes., • Work with stakeholders to help realise their business requirements., • Proven experience developing, tuning, and deploying AI/ML models using frameworks., • Experience with Azure AI Foundry, • Hands-on experience with agentic AI tools and orchestration frameworks., • Proficiency in Python and familiarity with low code/no code platforms such as Microsoft Power Platform., • Strong understanding of responsible AI principles, including explainability, fairness, and ethical deployment., • Familiarity with retrieval-augmented generation (RAG), vector databases, and knowledge graphs., • Ability to work effectively across technical and non-technical teams, with strong communication and collaboration skills., • Awareness of data governance, secure handling of sensitive data, and regulatory considerations., • Knowledge of MLOps/DevOps practices, including CI/CD pipelines for ML models., • Understanding of reinforcement learning, multi-agent systems, or advanced optimization methods.

DEVOPS TECHNICAL LEAD- SC CLEARED DEVOPS TECHNICAL LEAD- Contract opportunity for a DevOps Tech Lead with active SC clearance. - Up to £650/ day Inside IR35 DOE - Remote Opportunity - To apply, please call Laura Jackson on , or email with an up-to-date CV. WHO ARE WE?We're hiring for Platform Engineers to join a leading consultancy delivering cutting-edge solutions for Public Sector clients. You'll have the opportunity to work across multiple high-impact, innovative and mission-critical projects, shaping solutions that make a real difference. Due to the sensitive nature of the work, an active SC Clearence THE DEVOPS TECHNICAL LEAD- Active SC Clearance- Experience as in a Platform/ DevOps leadership role. DEVOPS TECHNICAL LEAD ESSENTIAL SKILLS- Ability to lead delivery across AWS environments.- Identify issues and enhance reliability/ performance, and deployment processes across live systems.- Manage CI/CD pipelines, release processes, infrastructure as code, and deployment automation to ensure efficient and secure operations.- Guide and mentor junior engineers, collaborate with cross-functional teams, and ensure alignment with architectural standards.- Apply hands-on experience with AWS, Linux, scripting, CMS platforms and troubleshooting across complex environments. TO BE CONSIDERED:Please either apply through this advert or emailing me directly on . 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 SKILLSPLATFORM ENGINEER, AWS, AWS ENGINEER, DEVOPS ENGINEER, DEVOPS LEAD, TECH LEAD, CLOUD ENGINEER, ANSIBLE, TERRAFORM, INFRASTRUCTURE DEVELOPMENT, DEFENCE, NATIONAL SECURITY, DV CLEARED, DV CLEARANCE, SECURITY CLEARED, NSD

Location: London, Watford or Bristol (Hybrid working options available) We’re looking for an Azure Platform Engineer with strong experience in Kubernetes and an interest in platform abstraction and cloud-native infrastructure patterns. You’ll help us design and build shared platform capabilities on Azure that hide complexity from product teams while enforcing security, reliability and governance by default. This role is ideal for an engineer who: • Enjoys working with Kubernetes and Azure, • Thinks in terms of platform APIs, abstractions and self-service, • Is curious about emerging control plane and infrastructure abstraction approaches, • Wants to help teams consume infrastructure as a product How the Team Works You’ll join a Platform Engineering team focused on building reusable, internal platform services rather than one-off infrastructure. We work using: • Kubernetes as a core platform primitive, • GitOps, CI/CD and Infrastructure-as-Code, • DevSecOps and SRE-inspired practices, • AI-assisted engineering (Copilot, agents, automation) What You’ll Do • Build and operate Azure-backed platform services exposed through Kubernetes APIs, • Design abstractions that allow teams to provision infrastructure safely and consistently, • Work with AKS as a core runtime for platform and workload services, • Contribute to platform control plane capabilities (e.g. Kubernetes-based or API-driven approaches), • Define and manage Azure resources using Terraform, Bicep and declarative approaches, • Embed security, governance and policy into platform defaults, • Support GitOps-driven workflows and CI/CD pipelines, • Improve observability, reliability and operational readiness Who You Are Essential: • Experience in Azure, cloud engineering, DevOps or platform roles, • Hands-on experience with Kubernetes, • Infrastructure-as-Code experience, • Scripting (PowerShell, Bash or Python), • CI/CD and Git-based workflows Desirable: • Experience with platform abstraction or control plane patterns (e.g. Crossplane, Pulumi, or similar approaches), • Kubernetes extension patterns or operators, • Terraform or Bicep, • Azure networking, identity and governance, • GitOps tooling

Senior DevOps Engineer (Azure / Terraform)£550–£650 per day | Outside IR35 | 6 Month Contract | RemoteOverviewAn exciting opportunity has arisen for a Senior DevOps Engineer to join an established project delivering within a modern, cloud-first environment.You’ll be joining a lean, high-performing team, where DevOps is central to delivery not an afterthought. This role offers a high level of ownership, with the opportunity to shape infrastructure, improve reliability, and influence engineering best practices across the wider team.We’re looking for someone with deep Azure and Terraform expertise, who is comfortable operating in a hands-on capacity, while also mentoring others and driving improvements across CI/CD, observability, and security.Role & Responsibilities • Design, build, and manage Azure infrastructure using Terraform, including modules, state management, and pipelines, • Develop and maintain CI/CD workflows (GitHub Actions, Azure DevOps or similar), • Improve platform reliability, observability, and security across environments, • Take ownership of infrastructure and deployment processes within a fast-moving delivery team, • Collaborate closely with engineers to embed DevOps best practices and scalable patterns, • Mentor team members on infrastructure, automation, and platform engineering principles, • Identify and address performance bottlenecks, risks, and areas for improvement, • Contribute to a culture of continuous improvement and automation-first thinkingSkills and Experience, • Experienced DevOps Engineer, • Strong hands-on experience with Terraform and Azure (AKS, networking, identity, storage), • Solid experience building and managing CI/CD pipelines, ideally within Azure DevOps, • Strong scripting capability (Bash, Python, or PowerShell), • Experience implementing monitoring and observability solutions (e.g. Prometheus, Grafana, Azure Monitor), • Ability to operate in a hands-on role within a small or fast-paced team, • Strong communication skills and experience working collaboratively with engineering teamsDesirable, • Azure certifications (AZ-400, AZ-104), • Experience with policy-as-code (OPA, Sentinel) and secrets management

Location: London, Watford or Bristol (Hybrid working options available) We’re seeking a Lead Azure Platform Engineer to play a key role in designing, building and running our Azure platform services. This is a hands-on technical leadership role, combining deep engineering expertise with mentoring, standards-setting and influence across teams. You’ll work as part of our Platform Engineering capability, enabling delivery teams through secure, scalable and well-architected Azure platforms, while helping drive modern DevOps, automation and reliability practices. What You’ll Do • Design, build and evolve Azure platform services used across delivery teams., • Lead the implementation of secure, scalable and resilient Azure environments., • Be hands-on with development work: writing code, reviewing pull requests and deploying to production., • Act as a technical authority within the platform and delivery ecosystem., • Own and evolve Infrastructure-as-Code using Terraform and/or Bicep., • Drive automation that removes toil, improves reliability and accelerates delivery., • Leverage GitHub Copilot and AI-assisted tooling to increase productivity and quality., • Champion consistent patterns for networking, identity, security and landing zones., • Lead the development of CI/CD pipelines and automated infrastructure delivery., • Promote strong observability, monitoring and alerting practices., • Take part in incident response, root cause analysis and platform stability improvements., • Balance build-and-run responsibilities with a focus on long-term platform health., • Set and maintain engineering standards, guardrails and best practices., • Mentor engineers through pairing, code reviews and knowledge-sharing sessions., • Proactively identify technical debt and lead initiatives to address it., • Influence tooling, ways of working and adoption of new technologies across teams. Who You Are Essential Experience & Skills • Strong experience as a cloud, platform or DevOps engineer., • Deep knowledge of Microsoft Azure and core platform services., • Proven experience delivering Infrastructure-as-Code (Terraform and/or Bicep)., • Strong scripting skills (PowerShell, Bash and/or Python)., • Experience building or operating CI/CD pipelines., • Excellent communication skills and a collaborative mindset., • An AI first mindset focused on skills development for SRE Desirable Experience • Azure networking and security architecture experience., • Container platforms (Docker, AKS)., • Cloud governance, cost management (FinOps) or security practices., • Azure DevOps and/or GitHub enterprise environments., • Cross-plane experience

Shift Engineer – 12-Hour Shifts (4 on / 4 off) - Days Location: Bishops StortfordDepartment: EngineeringHours: 07:00am to 19:00pm Role Overview Responsible for maintaining safe and efficient site operations through planned and reactive maintenance of plant, machinery, facilities, and utilities. Supports continuous improvement, reliability and site performance. Key Responsibilities • Follow GMP, technical procedures, hygiene, and Health & Safety standards., • Deliver planned and reactive maintenance across all production and facility areas., • Respond quickly to breakdowns to reduce downtime., • Diagnose faults independently and suggest improvements., • Support continuous improvement and new equipment projects., • Maintain tools, workshops, and engineering areas safely., • Keep accurate maintenance logs and assist with parts and stock., • Work effectively with production teams, contractors and on-site stakeholders., • 3+ years engineering experience in FMCG or similar environments., • Multi-skilled with NVQ Level 3+ in Mechanical or Electrical engineering., • Recognised engineering apprenticeship., • Electrical Regulations certification., • Experience in regulated industries; chilled/frozen environment preferred., • Strong fault-finding and breakdown analysis skills., • Health & Safety and basic food hygiene knowledge., • Ability to read technical drawings and use CMMS systems., • Strong communication, problem-solving and decision-making skills., • Able to work under pressure and independently.

Multi-Skilled Maintenance Engineer Salary: £62,401 Shift: 4 on / 4 off (Days & Nights) The Opportunity A well-established food manufacturing site is looking for a Multi-Skilled Engineer to join the team. This is a hands-on role focused on keeping production running, reducing downtime, and improving reliability. What You’ll Do • Electrical and mechanical fault finding on production equipment • Planned and reactive maintenance • Reduce downtime and improve machine performance • Support continuous improvement projects What You Need • 2 years’ maintenance experience • Multi-skilled (electrical or mechanical bias) • Background in manufacturing or FMCG • NVQ Level 3 Engineering qualification (or equivalent) What You Get • £62,401 salary • 24 days holiday • Up to 10% pension life assurance • Discount scheme (500 retailers) • Cycle to Work scheme If this role is of interest to you, please get in contact with Chatan at

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 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, • 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 Tech Lead - PHP, Node.js, React, AWS - Successful FinTech - UK Remote-First – Highly Competitive Salary We have a fabulous opportunity to join a successful FinTech as their Senior Tech Lead, on a UK remote-first basis. Joining the engineering team that develops and maintains the technology that powers the entire platform, the Senior Tech Lead will work closely with the Head of Engineering to drive architecture decisions, support the engineering team and help evolve the platform as the company scales. This is a hands-on leadership role, and would suit Tech Leads who enjoy coding and technical ownership, solving complex problems, guiding team members and building reliable systems. What’s on offer? This is a great opportunity to join a scaling organisation where you will have the opportunity to shape platform architecture as the company grows and continue on your career trajectory. Joining an experienced team with strong autonomy, this is a remote-first role with the option to work from the London office. Our client is offering a highly competitive salary, tech equipment of choice, 25 days annual leave + BH, pension scheme and private medical. Key responsibilities as the Senior Tech Lead will include: • Technical lead for the engineering team, • Assisting engineers in designing and implementing robust solutions, • Reviewing code and advising on architecture decisions, • Resolving complex technical issues, • Working closely with the Head of Engineering to evolve the platform, • Designing scalable backend systems and services, • Shaping the platform architecture, • Enhancing the platform and DevOps - collaborating with AWS infrastructure and cloud-native services, refining CI/CD pipelines and developer tooling and supporting monitoring, scaling and reliability Skills and experience required: • Solid software engineering experience (c8+ years), working as a Senior, Staff, Principal Engineer or Tech Lead, • FinTech or regulated environment, • Strong backend and system design experience, • Solid understanding of AWS and cloud architecture, • PHP and/or NodeJS for backend development, • React / Typescript and/or React Native for frontend development, • Experience with Kubernetes and container-based deployments, • Familiarity with Helen and CI/CD pipelines, • Excellent debugging and problem-solving abilities, • Ability to lead and mentor engineers, • Happy to be hands-on, • Collaborative nature, • Clear, confident communication skills Interested in this Senior Tech Lead opportunity? If you want to be considered for this fantastic opportunity then please ensure your CV showcases all your key skills and experience and submit it ASAP, quoting ‘AE - Senior Tech Lead - Fintech’

ML Engineer (Stealth AI Company) About the company We are building a foundational intelligence platform that transforms fragmented, proprietary information into durable institutional intelligence - enabling organisations to reason faster, preserve context, and compound knowledge over time. We are starting with information-dense, judgment-heavy industries where decision-making under uncertainty is core. Long-term, the platform is designed for any information-led organisation where trust, provenance, and context matter. Our focus is not surface-level AI features, but the intelligence substrate that workflows depend on. The problem we're solving Most organisations don't struggle with data volume. They struggle with: • fragmented information across systems and time, • loss of context and institutional memory, • repeated manual synthesis, • knowledge walking out the door What we build We build software that helps organisations understand their own information, not just store or search it. The platform: • ingests internal and external data, • structures information to preserve meaning, relationships, and provenance, • enables reasoning across time, sources, and uncertainty, • keeps humans in the loop where judgment matters, • a workflow automation tool, • a chat UI on top of documents How can organisations reason reliably over their own information at scale? The role As an ML Engineer, you'll work at the intersection of machine learning systems, knowledge representation, and reasoning infrastructure - helping build the core intelligence layer of the platform. This is not a model-tuning or API-wrapping role. You'll tackle foundational problems such as: • Knowledge extraction & structuring Designing ML pipelines that turn unstructured, proprietary data into semantically rich representations., • Reasoning systemsBuilding and integrating models that support probabilistic reasoning, multi-hop inference, and context-aware decision support., • Agentic workflows Developing systems where AI augments human judgment via explainability, uncertainty estimation, and feedback loops., • Evaluation & reliability Defining metrics and testing frameworks appropriate for high-stakes, information-led environments., • Design, train, and deploy ML models that handle real-world complexity: noise, ambiguity, evolving schemas, • Think deeply about information representation, not just retrieval or ranking, • Contribute to architectural decisions around ML infrastructure and system design, • Ship working systems, iterate based on feedback, and avoid over-engineering, • Strong foundations in machine learning (e.g. NLP, information extraction, representation learning), • Systems-oriented mindset - performance in production matters more than benchmarks, • Comfort working in ambiguity and defining problems from first principles, • Intellectual honesty and willingness to challenge assumptions, • Experience with graph databases (preferably Neo4j), • Background in information retrieval (search, ranking, semantic search, hybrid systems), • Based in London, • In-office by default with work from home on Wednesdays, • Founder-led, deeply technical, and substance-driven, • Low-ego, high-ownership culture Values • First-principles thinking - design from fundamentals, • Human judgment matters - AI supports decisions, it doesn't replace responsibility, • Intellectual honesty - correctness over hype, • Trust by default - security, provenance, and explainability built in, • Compounding advantage - systems that get better over time, • Build foundations, not wrappers - infrastructure over surface features Services advertised by Gold Group are those of an Agency and/or an Employment Business.We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.

Service & Maintenance Engineer – Fire & Security – London & Surrounding Areas Package & Benefits: • Competitive basic salary (depending on experience), • Full-time, permanent position, • Monday to Friday, 8:00am – 5:00pm, • Covering London and surrounding suburbs, • Company van and mobile phone provided, • Company pension scheme, • 28 days holiday (including bank holidays), • Additional 1 day annual leave added for each year of service, • Birthday day off following successful completion of probation (where it falls on a working day), • Ongoing training and development opportunities Our client is an established specialist in Fire Protection, Security and IRS solutions, delivering high-quality services across London and the surrounding areas. With a strong reputation for technical expertise, reliability and customer service, they work across both commercial and residential sectors and are continuing to grow, creating an excellent opportunity for an experienced Service & Maintenance Engineer to join their team. Service & Maintenance Engineer Role & Responsibilities: • Carrying out planned preventative maintenance, reactive service calls and remedial works on a range of fire and security systems, • Servicing and maintaining CCTV, access control, fire alarm and integrated electronic security systems, • Completing small works, repairs and system upgrades across residential and commercial properties, • Ensuring all works are completed in line with British Standards, health & safety regulations and industry best practice, • Proven experience working within the Fire & Security industry (5 years minimum), • Strong working knowledge of fire alarm systems, CCTV and access control systems, • Previous experience carrying out preventative maintenance and fault-finding on electronic security systems, • Relevant industry qualifications such as NSI, LPCB, City & Guilds or equivalent would be advantageous, • Experience with Entrotec systems would be highly beneficial, • Strong customer service and communication skills, • Ability to manage multiple tasks and prioritise workload effectively, • Full UK Driving Licence (Essential) Get Staff acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers Please note that if you have not been contacted within 7 days, your application for this position has been unsuccessful.

Site Engineer Location: Dagenham About the Role We are looking for a Site Engineer to join our service team in Dagenham, responsible for the repair and preventative maintenance of materials handling and ancillary equipment. This is a varied, customer-facing role where you'll be a key technical representative on site, ensuring equipment reliability and excellent service delivery. You'll also support the Area Service Manager, acting as a first point of contact for defined support activities within the service team and helping to maintain strong customer relationships. Key Responsibilities • Carry out preventative maintenance on materials handling and ancillary equipment, • Diagnose faults and complete repairs efficiently and safely, • Accurately complete service reports and timesheets, • Manage and control parts stock on site, • Build effective customer relationships through clear communication, ensuring expectations are met in line with contractual agreements, • Liaise closely with the After Sales Office to provide customers with accurate repair updates and ETAs, • Identify and communicate chargeable follow-up work, completing it in a timely manner, • Ensure all company and customer health & safety procedures are strictly followed, • Identify and pass on sales leads for Jungheinrich equipment and After Sales products, • Automotive Technicians, • HGV Engineers, • Mobile Plant Engineers, • Forklift Engineers, • A full UK driving licence, • A good general level of education, • Experience in a customer-facing role, • The ability to work independently and unsupervised

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 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 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, • 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 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Data Engineer (Quantexa) Hybrid Working - London - 1-2 days a week on site. Financial Services Lorien's leading banking client is looking for a Data Engineer to join a newly built team on a new project. The Ideal Candidate will design, build, and maintain scalable data pipelines and analytical solutions with a strong emphasis on Scala-based data processing, graph analytics, advanced data wrangling, and experienced in using and understanding Quantexa. You will work closely with data scientists, analysts, and platform engineers to enable insights from complex, interconnected datasets. This role is based in London. This role will be Via Umbrella. Working in a Hybrid Model of 1-2 days a week on site. Key Skills and Experience • Experienced in Design, Develop, And Maintain Scalable Data Pipelines Using Scala/Java And Modern Distributed Data Processing Frameworks., • Build And Optimize Graph-Based Data Models to Analyse Relationships, Networks, And Dependencies Across Large Datasets., • Experienced with using and working with Quantexa is highly advantageous., • Implement Graph Analytics Algorithms (E.G. Centrality, Community Detection, Path Analysis) To Support Advanced Analytical Use Cases., • Perform Complex Data Wrangling and Transformation on Structured and Semi-Structured Data., • Develop And Maintain Scripts (E.G. Scala) To Automate Data Ingestion, Validation, And Processing Tasks., • Ensure Data Quality, Reliability, And Performance Across Data Workflows., • Collaborate With Stakeholders To Translate Business Requirements Into Robust Data Solutions., • Contribute To Data Architecture, Best Practices, And Documentation., • Monitor And Troubleshoot Data Pipelines In Production Environments., • Experience of working within Financial Services Environments. IND_PC3 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Looking to build ultra-high-performance systems used by millions, while working fully remote in one of the most exciting spaces in tech? Software Engineer (C++) - Leading Crypto Trading Platform Salary: up to £160k + bonus + RSUs Location: Fully Remote in UK & Ireland We're partnered with a globally recognised crypto exchange that has been at the forefront of the industry since its early days. As they continue scaling their trading infrastructure, they're looking for Software Engineers to join their Trading Technology team. This is a unique opportunity to work on the core of a world-class trading platform, developing systems that demand extreme performance, reliability, and scalability in a low-latency, high-throughput environment. What you'll be working on: • Designing and building components of a high-performance trading engine, • Developing low-latency, highly available backend services, • Scaling systems to handle large volumes of real-time transactions, • Enhancing performance across critical infrastructure (CPU, memory, network), • Collaborating with distributed teams across a modern, multi-language stack Tech environment: • C++ (core language), • Linux systems, • Exposure to Go, Rust, Python, • Distributed systems & concurrent programming, • Low latency / high throughput architectures We're looking for engineers with: • Strong experience in C++ development, • Background in high-performance, concurrent or distributed systems, • Experience working in Linux environments, • Interest in trading systems, financial markets, or crypto (beneficial), • A proactive mindset with the ability to work in a fast-paced, remote-first team Why this opportunity stands out: • Fully remote, globally distributed engineering team, • Competitive bonus + RSU package, • Work on mission-critical systems at scale, • Be part of a company driving forward the adoption of digital assets, • Learn from and collaborate with some of the best engineers in the space If you're excited by complex engineering challenges and want to build technology at the heart of global financial systems, this could be the move for you. Apply now Please note: You must have the right to work in the UK to be considered.

Plant Room Engineer London £ + Discretionary Bonus + Pension + Private Healthcare + Cycle to Work Scheme + Electric Car Scheme + Career Progression Are you a mechanical plant engineer ready to boost your career while earning top pay for your skills? Do you want to work on large-scale, low-carbon energy projects with clear progression, excellent benefits, and the chance to take real ownership? We are looking for an experienced Mechanical Plant Engineer with at least 2 years' experience on commercial mechanical plant. This role is ideal for someone confident with service, breakdowns, and fault finding, who enjoys keeping critical systems running and developing their career in a fast-growing business. In this role, you will focus on service and breakdown work across energy centres, restoring heating, completing planned maintenance, and supporting critical infrastructure as part of a 1 in 4 on-call rota. You'll also have opportunities to develop technical skills and mentor junior engineers. The Role * Service, fault-find, and repair commercial plant (pumps, boilers, heat exchangers, actuators). * Respond to reactive breakdowns and restore heating. * Complete Planned Preventative Maintenance (PPM) to ensure reliability. * Diagnose faults and implement long-term solutions. * Participate in a 1 in 4 on-call rota. * Support and train junior engineers. The Person * 2+ years' experience on mechanical or commercial plant. * NVQ Level 3 in Gas/Plumbing or equivalent. * Strong fault-finding and problem-solving skills. * Confident communicator across teams and sites. * Willingness to travel UK-wide and cover callouts. * Basic electrical competency and able to read P&IDs/schematics. BH: 271777 To apply, click Apply Now or contact Maleek Randley at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.

AL948: BMS Trend EngineerLocation: LondonSalary: £45,000 – £60,000 Per AnnumOverview:First Military Recruitment is working in partnership with our reputable client who is seeking a Trend BMS Service & Commissioning Engineer to join their team.This is a hands-on role supporting servicing, fault-finding, small works, and commissioning across a London-based portfolio. The successful candidate will diagnose and resolve BMS and controls issues, carry out commissioning activities, and implement control strategies and graphics modifications in line with client requirements.Duties and Responsibilities: • Provide on-site servicing and repairs of Trend BMS systems and associated field devices, • Diagnose faults across controllers, sensors, actuators, panels, communications, and safety systems, • Respond to reactive callouts and breakdowns, • Carry out point-to-point testing, calibration, loop checks, and functional testing, • Undertake panel modifications and small works as required, • Ensure all work aligns with client specifications and industry standards, • Write, modify, and test control strategies, • Update and maintain BMS graphics to reflect system changes, • Support optimisation of plant performance and system reliability, • Work with BMS networking systems including Ethernet and LAN, • Assist with integration of common BMS protocols such as BACnet, M-Bus, and Modbus, • Minimum 2 years’ hands-on BMS experience (servicing, commissioning, or small works), • Experience with Trend IQ Vision and on-site troubleshooting, • Strong fault-finding skills across controllers, field devices, and communication networks, • Understanding of commercial heating and hot water systems, • Ability to work independently and as part of a team, • Experience with Trend and Honeywell (Tridium/Niagara) systems, • Electrical qualification or relevant industry certifications, • Health & safety training (e.g. working at height, manual handling, first aid), • Asbestos awareness and CSCS card

Senior Data Engineer London Hybrid (Twice Per Week in London Office)Up to £110,000 + 20% BonusThis role stands out for the level of ownership and impact you will have on production grade data platforms that directly support advanced analytics and machine learning. You will work closely with highly skilled data and AI specialists, shaping how data is ingested, transformed, and used to drive meaningful commercial outcomes.The Company They are a data and technology driven organisation focused on building high quality analytics products that deliver measurable value. Data sits at the heart of everything they do, and they invest heavily in modern cloud platforms and engineering best practice. The culture is collaborative, delivery focused, and designed for people who want to build things properly. Their teams work on complex, real world data problems across multiple domains.The Role You will be responsible for designing and building scalable, reliable data infrastructure that supports analytics and machine learning use cases. • Architecting and developing robust data pipelines across multiple sources, • Working closely with analytics and data science teams to prepare data for advanced modelling, • Building production ready data services and platforms in the cloud, • Applying best practice in data quality, reliability, and lifecycle management, • Engaging with stakeholders to understand data requirements and translate them into technical solutionsYour Skills and Experience, • Strong commercial experience as a Data Engineer using Python and SQL, • Proven capability building and maintaining cloud based data platforms, • Experience working with a range of data technologies such as relational databases, distributed processing, or modern data warehouses, • Confidence designing scalable, modular pipelines for analytics and machine learning, • Clear communication skills and the ability to work effectively with technical and non technical stakeholdersWhat They Offer, • Salary up to £110,000 plus a 20% bonus, • Hybrid working with flexibility to work from home and regular time in the London office, • Opportunity to work on high impact data and AI initiatives, • Strong career progression with exposure to complex, business critical systems, • A collaborative environment that values quality engineering and continuous improvement

Senior DevOps Engineer (Azure / Terraform)£550–£650 per day | Outside IR35 | 6 Month Contract | RemoteOverviewAn exciting opportunity has arisen for a Senior DevOps Engineer to join an established project delivering within a modern, cloud-first environment.You’ll be joining a lean, high-performing team, where DevOps is central to delivery not an afterthought. This role offers a high level of ownership, with the opportunity to shape infrastructure, improve reliability, and influence engineering best practices across the wider team.We’re looking for someone with deep Azure and Terraform expertise, who is comfortable operating in a hands-on capacity, while also mentoring others and driving improvements across CI/CD, observability, and security.Role & Responsibilities • Design, build, and manage Azure infrastructure using Terraform, including modules, state management, and pipelines, • Develop and maintain CI/CD workflows (GitHub Actions, Azure DevOps or similar), • Improve platform reliability, observability, and security across environments, • Take ownership of infrastructure and deployment processes within a fast-moving delivery team, • Collaborate closely with engineers to embed DevOps best practices and scalable patterns, • Mentor team members on infrastructure, automation, and platform engineering principles, • Identify and address performance bottlenecks, risks, and areas for improvement, • Contribute to a culture of continuous improvement and automation-first thinkingSkills and Experience, • Experienced DevOps Engineer, • Strong hands-on experience with Terraform and Azure (AKS, networking, identity, storage), • Solid experience building and managing CI/CD pipelines, ideally within Azure DevOps, • Strong scripting capability (Bash, Python, or PowerShell), • Experience implementing monitoring and observability solutions (e.g. Prometheus, Grafana, Azure Monitor), • Ability to operate in a hands-on role within a small or fast-paced team, • Strong communication skills and experience working collaboratively with engineering teamsDesirable, • Azure certifications (AZ-400, AZ-104), • Experience with policy-as-code (OPA, Sentinel) and secrets management

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company that combines scale, innovation and purpose. As a Machine Learning Engineer, you'll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows and ML issues in live production environments. We're looking for individuals with: • Experience: Proven background as a Machine Learning Engineer., • Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib)., • Data transformation & manipulation: experience with Airflow, DBT and Kubeflow, • Cloud: Experience with GCP and Vertex AI (developing ML services)., • Expertise: Solid understanding of computer science fundamentals and time-series forecasting., • Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Technical Operations Engineer Working Pattern Hybrid working four days in the office and one day working from home Role Overview This is a service focused proactive Technical Operations role responsible for maintaining monitoring and continuously improving a distributed Internet of Things and automated parking environment. The role has ownership of system reliability uptime and infrastructure perfor... ZIPC1_UKTJ

AI Deployment Engineer | Remote (UK) with occasional travel to London Salary: £100,000 – £125,000 + excellent benefits A leading technology-focused organisation is seeking an experienced AI Deployment Engineer to join its growing AI and data function. This is a highly technical, hands-on role forming the backbone of the company’s AI deployment capability, responsible for taking AI-driven solutions from prototype through to fully scalable, production-grade systems. Working closely with AI Strategists and product stakeholders, the AI Deployment Engineer will own the underlying infrastructure that enables AI systems to operate reliably across the business. The role is predominantly remote, with occasional on-site collaboration days in London. Key Responsibilities: • Own and develop the data and integration infrastructure supporting AI deployments, including pipelines, storage and data delivery layers, • Design and implement robust integrations between AI solutions and core business systems (CRM, ERP, SaaS platforms and internal tools), • Build and maintain APIs, webhooks and middleware to enable seamless system-to-system communication, • Take AI prototypes into production by hardening, scaling and optimising for reliability and performance, • Implement monitoring, logging and alerting across all deployed pipelines and AI services, • Manage data structures, schemas and transformation logic supporting ongoing and future AI initiatives, • Troubleshoot and resolve production issues, including integration failures and data inconsistenciesRequired Skills & Experience:, • 3–5+ years’ experience in software engineering, data engineering, or similar infrastructure-focused roles, • Strong programming ability in Python and SQL, with experience building production-grade data pipelines, • Solid understanding of integration patterns including REST APIs, webhooks, OAuth and event-driven architectures, • Experience with orchestration tools such as Airflow, Prefect or Dagster, • Familiarity with cloud environments (AWS, GCP or Azure), • Experience with containerisation tools such as Docker and Kubernetes, • Proven experience integrating multiple business systems and ensuring reliable data flow between platforms, • Strong troubleshooting skills with a focus on system reliability and data integrity, • Experience working with Microsoft 365 and exposure to AI productivity tooling is advantageousDesirable Experience:, • Vector databases and embedding-based pipelines, • Real-time data streaming technologies (e.g. Kafka, Flink), • RPA tools such as UiPath or Power Automate, • Data transformation tools such as dbt, • Exposure to modern AI tooling and frameworks (e.g. Claude-based developer tools)Qualifications:, • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experienceBenefits:, • 25 days annual leave, rising to 28 with service, • Holiday buy/sell scheme with ability to carry over up to 10 days annually, • Pension scheme matched up to 5% (with salary sacrifice option available), • Life assurance up to 9x annual salary, • Income protection covering up to 75% of salary The organisation encourages innovation, ownership, and technical excellence, making it ideal for an engineer who enjoys solving complex infrastructure and integration challenges at scale.

Junior Data Engineer, Data Operations£40,000 to £45,000 Basic + 10% Bonus + BenefitsLondon HQ | Remote across the UK fine though We’re working with a growing, international SaaS organisation that is expanding its Data Operations capability and looking to hire a Junior Data Engineer. This is an excellent opportunity for someone early in their data engineering career to gain hands-on experience in a modern, cloud-first environment. You’ll play a key role in building and maintaining reliable data pipelines that support reporting, analytics and operational decision-making across the business. Working alongside experienced Data Engineers and a collaborative data team, you’ll help develop scalable data processes, improve data quality, and contribute to well-governed datasets used by teams across the organisation. You’ll also gain exposure to enterprise-level data platforms and best practices. The role will involve developing and maintaining data pipelines, transforming data using Python, SQL and PySpark, integrating data from various internal and external sources, and supporting day-to-day data operations. You’ll also contribute to data quality initiatives, documentation, and continuous improvements to platform reliability. We’re looking for candidates with 1 to 3 years’ experience in data engineering, analytics engineering or a similar field. You’ll have solid Python and SQL skills, experience working with data pipelines, and an understanding of cloud-based storage such as Amazon S3. Experience with tools like Databricks, Delta Lake, or BI platforms such as Power BI or Tableau would be advantageous. This organisation operates globally and is continuing to invest heavily in its data capabilities, making it an exciting time to join. The culture is collaborative, supportive and focused on continuous improvement, with a strong emphasis on delivering real business impact. What’s on offer: * £40,000 to £45,000 basic salary * 10% annual bonus * Comprehensive benefits package including healthcare, pension, life assurance and more * 25 days holiday plus your birthday off * Flexible working with remote options across the UK * London HQ for those who enjoy office collaboration If you’re looking to develop your data engineering skills in a high-growth SaaS environment, we’d be keen to hear from you. Apply now to learn more.

Site Reliability Engineer (SRE) London (Hybrid – 2–8 days per month in office) £50,000 per annum Clear progression to Mid-Level SRE within 18 monthsWe’re working with a growing, engineering-led organisation looking to hire a Site Reliability Engineer who enjoys solving real platform problems through automation—not just firefighting tickets.This is an ideal opportunity for someone with 2–3 years of DevOps, Platform Engineering or SRE experience who wants to take ownership of CI/CD, infrastructure-as-code, and platform tooling while continuing to build production-grade coding skills.The OpportunityThis role blends hands-on engineering with platform ownership. You’ll spend your time split between: • Supporting developers with broken builds and deployments (40%), • Designing and building automation, CI/CD pipelines, and Terraform infrastructure (60%)You’ll act as the automation backbone of the platform—reducing manual effort, improving reliability, and enabling engineering teams to move faster.Key ResponsibilitiesDeveloper Support & Troubleshooting (40%), • Debug failing builds, deployments, and CI/CD pipelines, • Provide Tier 2/3 support via Slack, tickets, and pairing sessions, • Take ownership of incidents, ensuring reliable and timely resolutionPlatform Engineering & Automation (60%), • Design, build, and optimise CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI), • Develop and maintain Terraform modules for infrastructure-as-code, • Build automation tools (CLI tools, scripts, GitHub Apps, self-service tooling), • Own observability: dashboards, alerts, monitoring, and runbooks, • Continuously improve platform processes and reduce operational toilWhat We’re Looking ForEssential Skills & Experience, • 2–3 years in DevOps, SRE, or Platform Engineering, • Strong Linux troubleshooting and systems knowledge, • Proven experience with Terraform (module design, not just usage), • CI/CD experience (GitHub Actions, GitLab CI, Jenkins), • Ability to write production-quality code in Python or Bash, • Solid networking fundamentals (DNS, load balancers, CDNs), • Experience with observability tools (NewRelic, Datadog, Prometheus, Grafana), • Comfortable participating in on-call rotations, • Experience using AI tools (e.g. ChatGPT, Copilot, Cursor) to enhance productivityDesirable, • Go, Ansible, or configuration management experience, • Experience working with multiple CDNs (CloudFront, Fastly, Cloudflare)About You, • You’re a proactive problem-solver who automates rather than repeats, • You communicate clearly with both technical and non-technical stakeholders, • You stay calm under pressure and take ownership during incidents, • You care about clean, maintainable, production-quality code, • You actively use AI tools to improve how you build and debug systemsWhat’s On Offer, • £50,000 salary, • Genuine ownership of CI/CD and platform automation, • Direct collaboration with the Head of Technology, • Clear progression to mid-level SRE within 18 months, • Learning budget and dedicated development timeWhy Apply?This is not a ticket-driven support role. You’ll be a key technical contributor shaping how the platform operates—working alongside engineers who code and influencing real infrastructure and tooling decisions.

AWS DevOps Engineer - Cloud NativeSC Cleared | AWS | Kubernetes | Terraform | Cloud Native Engineering Location: London | Manchester | Bristol (Hybrid Working) Salary: Consultant: £70,000 - £80,000 | Senior Consultant: £80,000 - £90,000 + Bonus Security Clearance: Active SC Clearance Required Headcount: 10 Positions Available Build and Scale Mission-Critical Cloud Platforms We are hiring multiple AWS Cloud Native DevOps Engineers to join a leading cloud and engineering practice delivering secure, scalable, cloud-native solutions across complex, high-profile programmes. This is an opportunity to work on large-scale cloud transformation initiatives where automation, resilience, security, and performance are critical. You will work alongside highly skilled engineers using modern DevOps tooling and cloud-native technologies to build and optimise enterprise AWS environments. If you are passionate about cloud engineering, infrastructure automation, CI/CD, and platform reliability, this role offers the chance to work on meaningful projects while accelerating your technical and professional development. The Role You will be responsible for: • Designing, building, and managing AWS cloud environments, • Developing Infrastructure as Code using Terraform, CloudFormation, or Pulumi, • Building and maintaining CI/CD pipelines using tools such as GitLab CI, Jenkins, or ArgoCD, • Deploying and managing containerised workloads with Docker and Kubernetes, • Implementing monitoring, logging, and observability solutions using Prometheus, Grafana, ELK, and CloudWatch, • Improving platform scalability, automation, resilience, and security, • Working within Agile delivery teams across complex transformation programmes, • AWS cloud infrastructure deployment and management, • Infrastructure as Code (Terraform, CloudFormation, or Pulumi), • CI/CD pipeline engineering, • Docker and Kubernetes, • Scripting and automation using Python, Bash, or PowerShell, • AWS networking including VPCs, subnets, and security groups, • Monitoring and observability tooling, • Troubleshooting and optimising cloud infrastructure, • Working within secure or regulated environmentsWhat's on Offer, • Exposure to enterprise-scale cloud transformation programmes, • Access to industry-leading training and certifications, • Clear progression opportunities across engineering and consulting pathways, • Flexible hybrid working model, • Collaborative engineering culture focused on innovation and continuous improvement

Our client, a leading technology-driven Financial Services company, is seeking a talented DevOps Engineer to join their team. Specialising in fixed income securities, they have built a reputation for innovation, performance, and a highly collaborative culture. This is an exciting opportunity to play a key role in designing, customising, and deploying scalable DevOps solutions across a sophisticated infrastructure landscape. The Role You will be instrumental in building and enhancing DevOps capabilities, working across data platforms, orchestration frameworks, infrastructure automation, and cybersecurity. The position suits someone with a strong engineering mindset who thrives in high-performance environments and is passionate about scalability, resilience, and secure systems design. Key Responsibilities • Develop and customise DevOps tools, leveraging open-source technologies and programming languages such as Java, Python, and/or Go, • Manage, optimise, and secure diverse data stores, including object storage, inverted index systems, and relational databases, • Deploy and maintain distributed querying engines across multiple data platforms, • Design and extend orchestration frameworks, including DAG-based workflows and containerised environments, • Configure and manage dynamic container systems across OS and application layers, • Implement Infrastructure as Code (IaC) to map and manage physical and virtual resources, • Enforce robust data governance practices, including encryption and data classification strategies, • Build and maintain reliable backup and archival solutions across on-premise and cloud environments, • Strong software engineering background with experience in DevOps tooling and automation, • Proficiency in at least one of the following: Python, Java, or Go, • Hands-on experience with infrastructure as code and modern DevOps ecosystems, • Solid understanding of distributed systems, data platforms, and orchestration tools, • Strong focus on security, scalability, and system reliability, • Join a high-performing, technology-first trading firm, • Work in a collaborative, supportive environment where people genuinely enjoy working together, • Gain exposure to complex, large-scale infrastructure and cutting-edge technologies

Platform Engineer Location: London (2 days in Office) Salary: Up to £80,000 This is an opportunity to join a small, high-impact platform engineering team at a well-funded, product-led technology business undergoing a major technical transformation. You will play a key role in reshaping core infrastructure, driving automation, and influencing architectural decisions during a significant modernisation programme. The Company They are a venture-backed technology business operating in the financial technology space, building a platform that brings together complex data to deliver intelligent, long-term insights for users. The organisation works with a broad client base and manages data at significant scale, while remaining independent and advice-led rather than product or asset focused. Engineering is central to their strategy, with a strong emphasis on quality, innovation, and long-term thinking. The Role • Design, build, and evolve scalable platform infrastructure with a strong focus on automation and reliability., • Play a key role in a planned re-architecture of Kubernetes clusters, tooling, and core platform fundamentals over the next year., • Collaborate closely with engineers across the platform, data, and wider technology teams., • Champion infrastructure as code and modern DevOps practices to improve delivery and operational efficiency., • Contribute ideas, challenge existing approaches, and help shape the future technical direction of the platform. Your Skills and Experience • Strong commercial experience building and operating Kubernetes-based platforms., • Experience working with cloud environments such as AWS, GCP, or Azure., • Hands-on knowledge of infrastructure as code, ideally with Terraform or similar tools., • Confidence working in a fast-moving, collaborative environment where change is constant., • Ability to communicate clearly, share ideas, and work closely with others to deliver impact. What They Offer • Enhanced parental leave, mental health support, study support, and work-from-home equipment., • A dog-friendly office and regular team and seasonal socials., • Potential for equity review after probation, dependent on performance and business needs. How to Apply If you are a Platform Engineer looking to make a real impact on modern infrastructure at scale, apply now to learn more about this opportunity.

Senior Full-Stack Engineer Introduction Join a specialist platform operating at the heart of telecoms, compliance, and secure business messaging. This is a senior, hands-on role where you’ll take real ownership of a product that underpins trust, validation, and risk decisioning at scale. Role Overview: • Location: Remote (UK-based), • Package: Competitive salary + benefits, • Owning the platform end-to-end, from architecture through to delivery, • Designing and building scalable backend services and APIs, • Enhancing and maintaining modern frontend applications, • Defining data models and implementing decisioning logic, • Improving system performance, reliability, and observability, • Driving automation across CI/CD, testing, and deployment workflows, • Collaborating with leadership to shape technical direction and roadmap, • Strong background in building and running production-grade systems, • Solid backend engineering expertise and API design experience, • Good understanding of relational databases and data modelling, • Experience working in regulated or audit-heavy environments, • Full stack capability across frontend, backend, and database layers, • Knowledge of secure integrations, authentication, and access control, • Familiarity with workflow-driven systems and decisioning logic, • Ability to work across multiple technologies (e.g. Elixir, Node.js frameworks, React-based frontends, PostgreSQL, AWS), • Genuine ownership of a critical, high-impact platform, • Opportunity to influence architecture and technical direction, • Work on products supporting telecom operators and global partners, • Exposure to a unique blend of telecoms, cloud, and applied AI, • Small, agile team with fast decision-making and visible impact, • Remote-first working with flexibility and autonomy If you’re nodding along, let’s take the next step. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

Test Engineer - London (Hybrid) Power Platform - Databricks - Up to £65,000 I'm working with a globally recognised organisation that has been delivering landmark, high-value projects for over 60 years and continues to invest heavily in technology and digital transformation. Operating across multiple continents, this business combines global scale with a collaborative, people-first culture. What really stands out is the emphasis on quality, stability and long-term thinking. The Global IT function is at the heart of the organisation's strategy to modernise through data and digital platforms, and testing is seen as a critical enabler. You'll be joining a supportive environment with approachable leadership, an inclusive culture, and a genuine commitment to flexible working, career development and work-life balance. This is a role where your contribution directly improves confidence in delivery and the reliability of systems used across the business. You will work with: • Data Engineering and Development teams across global locations, • Development Leads and Business Analysts throughout the delivery lifecycle, • Azure-based platforms and pipelines, including ADF, Databricks and Fabric, • Power Platform, Dataverse, SharePoint, APIs and enterprise integrations What will be involved in the role: • Partnering with Dev Leads and BAs on test planning, scenario creation and early validation, • Executing end-to-end functional, integration and regression testing, • Validating applications, workflows, APIs and data pipelines for accuracy and consistency, • Testing ADF pipelines, Databricks notebooks, Fabric datasets and reporting outputs, • Running business simulation, performance and load testing to ensure real-world stability, • Leading impact assessments to identify dependencies, risks and downstream impacts, • Acting as a proactive quality layer that improves delivery confidence and reduces rework Benefits: • Discretionary annual bonus, • 8% employer pension contribution, • 25 days annual leave plus holiday purchase options, • Single private medical cover, EAP and virtual GP service, • Competitive parental leave, • Flexible benefits including gym discounts, cycle-to-work scheme and season ticket loans, • Strong commitment to hybrid and flexible working, • Excellent learning and development through an internal learning academy Key experience: • Strong SQL skills for data validation and defect investigation, • Hands-on experience testing Power Apps, Dataverse, SharePoint and APIs, • Experience validating ADF pipelines, Databricks notebooks and Fabric datasets, • Ability to design test cases, structure test cycles and manage test execution, • Strong analytical skills with clear, confident communication, • Comfortable working in a structured, enterprise delivery environment Interested? This is an excellent opportunity to step into a high-impact Test Engineer role where quality matters and testing is embedded early in the delivery lifecycle. Apply now!

Machine Learning Engineer - London Join the analytics team as a Machine Learning Engineer in the Technology industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward thinking environment. Client Details Machine Learning Engineer - London This opportunity is with a medium-sized software development organisation. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients. Description Machine Learning Engineer - London This role focuses on training custom models, building robust ML pipelines, and deploying systems at scale from research experimentation through to monitored production services. • Design, train, and optimise machine learning models for audio processing tasks such as speaker diarization, automatic speech recognition (ASR), and voice activity detection., • Build and maintain training and inference pipelines using PyTorch, and related ML frameworks, • Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows., • Run structured experiments, evaluate model performance, and iterate based on measurable results, • Build, deploy, and operate end-to-end MLOps pipelines, including experiment tracking, model versioning, and production monitoring., • Package and deploy models using Docker and cloud infrastructure, with a focus on reliability and scalability, • Design and deploy agent-based AI systems that can execute multi-step workflows and integrate with external tools., • Build Model Context Protocol (MCP) servers to enable standardised integration between models, APIs, and data sources., • Evaluate and integrate large language models into production systems where they add clear value., • Collaborate with product and business teams to translate requirements into practical ML solutions. Profile Machine Learning Engineer - London A successful Machine Learning Engineer should have: • Strong foundation in machine learning, deep learning, and optimisation, • Hands-on experience training, evaluating, and deploying ML models in real-world systems, • Proficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystem, • Experience with audio or speech models and frameworks., • Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights & Biases, DVC, or similar)., • Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred), • Practical experience designing agentic AI systems and integrating models with external services, • Comfortable owning the full ML lifecycle, from data preparation to production deployment Machine Learning Engineer - London • Competitive salary ranging from £75,000 to £95,000 per annum., • Comprehensive benefits package to support your well-being., • Opportunity to work in a leading organisation within the insurance industry., • Collaborative and innovative work environment in London.

.Computershare is global leader in financial administration with over 12,000 employees across more than 22 different countries. Many of the world's leading organisations use us to streamline and maximise the value of relationships with their investors, employees, creditors and customers. Our global footprint means we have the scale to maintain robust compliance, audit, risk, financial crime, disaster recovery and business continuity planning programs - offering peace of mind to our clients and their customers. AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies. We partner with Computershare to support their contingent recruitment processes. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed. On behalf of Computershare, we are looking for a Data & Automation Engineer (Python / SQL) for a 12 Months contract based in London (Hybrid - 3 Times per week in the office) Join us as a Data & Automation Engineer (Python / SQL)We're looking for a Data & Automation Engineer to join a high-performing team supporting critical back-office processes and data operations. You'll design and deliver Python and SQL-based solutions to automate workflows and respond to investor queries in a complex, secure environment. Your key responsibilities will include: • Develop and maintain Python and SQL scripts to support investor queries and operational processes., • Automate manual workflows and contribute to building scalable data pipelines., • Handle ad hoc data requests across multiple business processes and projects., • Collaborate with internal stakeholders to identify and implement efficiency improvements., • Ensure accuracy, reliability, and uptime of data processes within a Linux-based environment., • Strong hands-on experience with Python scripting and automation., • Expert-level SQL skills for querying and data manipulation., • Experience working in Linux environments (command line / virtual environments)., • Ability to manage and prioritise work in a fast-paced, ad hoc environment., • Strong communication skills with experience in client-facing or stakeholder-facing roles. Computershare are dedicated to providing you with the opportunity to succeed on your own merits, starting from the application process. Our goal is to create an environment where everyone feels valued, to remove barriers and obstacles and ensure equal opportunities for all. If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and speak to one of our Sourcing Specialists. AMS are committed to providing all our candidates with the opportunity to perform at their best throughout the recruitment process. Please let us know if you require any additional support or reasonable adjustments during the screening process and we will work with you and Computershare to identify the best solution to meet your requirements. We can only accept workers operating via an Umbrella or PAYE engagement model. Please note that for the duration of this assignment you will be working as an external resource engaged by AMS.

Biomedical Field Service Engineer West London (M4 West) | Monday to Friday | 37.5 Hours | Car Allowance An exciting opportunity for an experienced Biomedical Field Service Engineer to join a healthcare engineering team delivering essential maintenance, repair and asset management services across hospital sites. You will play a key role in ensuring the reliability of critical medical equipment while building strong relationships with clinical customers and supporting high standards of patient care. Must-Have Essential Requirements Qualifications • Minimum 3+ years UK-based biomedical engineering experience (essential) in service and repair of:, • Patient monitoring systems, • Diathermy / electro-surgical units, • Theatre tables, • Defibrillators, • Infusion and volumetric devices, • Anaesthesia equipment, • Ventilation devices, • Proven field service engineering experience, • Strong customer service skills with confidence in hospital / clinical environments To deliver high-quality repair, preventative maintenance, and asset management of medical devices across multiple hospital locations, ensuring compliance with manufacturer guidelines, contractual KPIs, and all relevant healthcare standards. You will also be responsible for maintaining strong customer relationships and ensuring outstanding service delivery in a fast-paced clinical environment. Key Responsibilities • Perform scheduled preventive maintenance (PM) on medical equipment as per manufacturer’s guidelines., • Complete repairs as required on medical equipment as per manufacturer’s guidelines, • Complete associated admin needed to close repairs and PMs as outlined in the Ergéa Standard Operating Procedures, • Travel to various sites as required to perform Corrective and Preventive Maintenance, • Maintain safe working practices within the hospital environment, • Exceed contract KPI’s to ensure customer satisfaction, • Work to maintain a high standard of customer service and protect your health and safety as well as that of your colleagues, our customers and members of the public. Promptly raise any concerns regarding potential violations of the policies., • Maintain spare part stock wherever necessary, • Directly support the Team Leader as needed, • Liaise with 3rd party suppliers for spare part and contract quotations, • Attend customer meetings when required, • Seek opportunities to grow the business, • Ability to follow complex instructions and processes, • Hold a clean UK Driving License, • 3+ years’ experience of service & repair of patient monitoring, diathermies (electro surgery units), theatre tables, defibrillators, infusion & volumetric devices, anaesthesia equipment, ventilation devices, • Have customer service skills and the ability to be confident in customer facing environments, • Field service experience, • Role location - Must be willing to travel to multiple sites within a specified area, • UK travel - Yes (between sites), • Private healthcare, • Employee Assistance Programme, • Pension scheme & salary sacrifice options, • Electric car and cycle-to-work schemes

A key second-line End User Support role focused on delivering an excellent digital employee experience. You will support and improve modern workplace technologies, resolve complex technical issues, and drive continuous service improvement, enabling colleagues to work productively, securely and collaboratively across the organisation. Client Details The hiring organisation is a small-sized entity operating within the Not for Profit industry. They are committed to supporting innovative projects and delivering impactful solutions through their technology department. Description • Provide advanced second- and third-line support for digital workplace technologies, • Investigate recurring incidents, identify root causes, and implement long-term fixes, • Ensure high service availability, reliability, and SLA performance, • Support and deliver workplace technology projects and M365 adoption initiatives, • Manage operating system upgrades with minimal user disruption, • Implement and support IAM, MFA, MAM and BYOD policies, • Configure and manage endpoint security, compliance and monitoring, • Maintain device backup, recovery and data protection solutions, • Manage end-user devices, assets, and workplace AV technology, • Deliver enhanced VIP and executive-level IT support, • Collaborate with stakeholders to evolve end-user services and improve DEX Profile A successful End User Support Engineer should have: • Strong customer-focused IT support and troubleshooting experience, • Advanced knowledge of Microsoft Intune, M365 and hybrid work environments, • Experience supporting IAM, MFA, MAM and BYOD solutions, • Familiarity with endpoint management and device compliance, • Experience using ITSM tools such as FreshDesk or ServiceNow, • Understanding of SaaS applications and enterprise systems, • Knowledge of security and compliance standards (e.g. Cyber Essentials, ISO), • Ability to analyse service data to drive continuous improvement, • Strong communication, stakeholder engagement and documentation skills, • Self-motivated, organised and able to manage multiple priorities Job Offer • Competitive daily rate between £250 and £400, paid in GBP., • Opportunity to work with a small-sized organisation in the Not for Profit industry, • Exposure to innovative projects within the technology department.

We're working with a forward-thinking technology company looking to hire a Graduate / Junior Software Engineer to join their growing team. This is a fantastic opportunity for someone early in their career to gain hands-on experience across a modern infrastructure stack, working on systems that are scalable, secure, and highly available. This is a hybrid role with the requirement to be in the London office 2 days per week. Our client offers good salaries and a comprehensive benefits package.The Role You'll support the reliability and performance of core systems, with responsibilities including: • Automating and improving DevOps workflows, • Monitoring systems and responding to incidents, • Troubleshooting infrastructure issues and performing root cause analysis, • Supporting secure, scalable deployments, • Collaborating with developers to enhance the deployment process, • Strong academic background (Computer Science or similar preferred) - Ideally from Russell Group University, • Experience with Python or another object-oriented language, • Good Linux/UNIX knowledge and interest in infrastructure, • Curious, proactive, and a strong problem solver Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Our client is looking for an experienced IT Support Engineer (2nd/3rd Line) to join their IT team. This is an excellent opportunity for a hands-on technical professional who enjoys working across modern Microsoft technologies in a collaborative, fast-paced environment. You will be a key technical resource within a small IT team, taking ownership of complex support issues, contributing to continuous improvement, and ensuring the reliability and security of IT services across the business. The Role As an IT Support Engineer, you will provide 2nd and 3rd line support across infrastructure, cloud and end-user environments, acting as a primary escalation point for technical issues. You will work closely with the IT Technical Lead, support ongoing projects and play an important role in maintaining service continuity and security. This role offers broad exposure to Microsoft cloud technologies, Azure, endpoint management and security. Key Responsibilities -Provide 2nd and 3rd line IT support across cloud, infrastructure and end-user services -Act as a primary escalation point for complex technical issues -Support user onboarding and offboarding, including laptop builds, device configuration (Windows and Mac) and mobile devices -Troubleshoot and support: -Microsoft 365 (Exchange, Teams, SharePoint) -Entra ID (Azure AD), Conditional Access and identity management -Intune and endpoint management -Windows desktop and server environments -Support and maintain Azure and cloud-based services -Assist with security configuration and monitoring, including Microsoft Defender, identity protection, endpoint security and patching -Perform root cause analysis and implement long-term technical fixes -Support compliance with security and governance frameworks such as ISO 27001 and Cyber Essentials -Contribute to IT projects, system upgrades and deployments -Create and maintain technical documentation and knowledge base articles -Work closely with the IT Technical Lead and provide cover when required -Liaise with third-party vendors and service providers Skills & Experience Essential -Proven experience in an IT support role covering 2nd and 3rd line responsibilities -Strong experience with: -Microsoft 365 -Entra ID / Active Directory -Intune / endpoint management -Azure (administration, networking and identity) -Solid understanding of networking fundamentals (DNS, DHCP, VPNs, firewalls) -Experience supporting Windows server and desktop environments -Knowledge of Microsoft security tools and best practices -Strong troubleshooting skills across multiple systems -Experience working within a small to mid-sized IT team Desirable -PowerShell scripting or automation experience -Backup and disaster recovery exposure (e.g. Veeam) -Experience with Dynamics 365 or other business systems -Familiarity with ITIL-aligned processes

IT Engineer Location: London Salary: Competitive Vacancy Type: Permanent, Full Time Closing date: 5 of June 2026 About Us Forresters IP LLP is a leading full service intellectual property firm with an international client base. We have offices located in Birmingham, Liverpool, London and Munich. Since being established in 1884, we have grown from a regional firm into an international practice. Despite our long history we are a modern firm with a fresh approach to our clients’ requirements. We are rated as one of the leading intellectual property firms in the UK. The Role We are currently recruiting an IT Engineer to join our friendly team in our London office. This position is an ideal opportunity for someone who already has some experience in a similar role and is looking to build upon this experience and learn new skills to continue their career. As an IT Engineer you will carry out all manner of IT support duties including first/second line support to users across the firm including three remote sites. Regular travel to our other UK offices will be required, occasionally at short notice. Main duties and responsibilities You will play a key role in supporting users across all Forresters offices while helping to maintain and improve the organisation’s IT infrastructure. The role involves participating in IT projects, maintaining documentation, and providing technical support across servers, networking, databases, and end-user systems. Key responsibilities include: • Leading and supporting IT projects, including server installations, database management, and IT security initiatives., • Installing and configuring computer hardware and software., • Providing technical support for users, including troubleshooting hardware, software, and peripheral issues., • Liaising with third-party support providers to resolve technical problems., • Collaborating with and supporting other members of the IT team., • Demonstrable experience working in a fast-paced IT support environment, in a professional services company., • Strong communication skills, with the ability to interact professionally with users, colleagues, management, and third-party providers both in person and over the phone. Technical skills Essential Experience: • Server builds including application software., • Workstation and laptop builds (Windows 11, device imaging), • Creating and maintaining users (e.g. Windows AD domain 2016 and above, Entra, Exchange Online, MS Office 365), • User support (e.g. PC driver and hardware issues, software issues, printer issues, telephony), • Mobile telephony and device support (Apple iOS based devices, or similar) Experience or exposure to the following technologies and systems would be advantageous: • IPMS systems, • Document management systems, • CRM systems, • Digital dictation The following certifications would be beneficial: • Microsoft certifications From starting: • An attractive and competitive salary based on experience, • A pleasant, supportive and friendly working environment, • Flexible working – core hours and hybrid working, • 35 hour week, • 26 days annual leave, increasing by one day with each complete year of service, to a maximum of 31 days, in addition to bank holidays, • Life Assurance cover, • Employee Assistance Programme, • Mutual pension contribution of up to 5%, • Smart casual dress code, • ‘Giving Something Back’ - a paid day off once a year to volunteer at a charity of your choice, • Access to our ‘Perks’ which provides discount codes or money back on different websites including gym membership., • Health Cash plan, • Cyclescheme, • Season Ticket Loan If you feel you are a suitable candidate and would like to work for the Forresters, please click apply to be redirected to their website to complete your application. Please note that we reserve the right to bring forward the closing date in the event that we receive sufficient applications. If you haven’t heard from us within four weeks of the closing date, please assume that your application has been unsuccessful on this occasion, and we wish you well in your job search. Please strictly no agencies.

Senior Software Engineer (Python) Hybrid London (2 days/week) Up to £100,000 + Benefits We're hiring a Senior Software Engineer to play a key role in building and scaling a high-impact ad-fraud prevention platform used globally. This is a senior IC role for engineers who enjoy ownership, solving complex problems, and setting a high bar for engineering quality. What you'll do: * Lead delivery of complex, cross-service features * Make pragmatic architecture and design decisions * Own services end-to-end, including performance, reliability, and incident response * Set standards for testing, observability, and security * Mentor engineers and contribute to strong team practices * Collaborate closely with Product, Design, and Data teams What we're looking for: * Strong experience as a Senior Software Engineer in modern product teams * Proven ability to design and deliver scalable, reliable systems * Experience operating production services * Strong coding, code review, and technical leadership skills * Comfortable working through ambiguity and influencing technical direction Why apply? * Salary up to £100,000 * Hybrid working - 2 days per week in the London office * High ownership, high-impact role * Strong engineering culture focused on quality and reliability

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 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, • Python for experimentation, modelling, and evaluation, • Weights & Biases (or equivalent) for experiment tracking, • AWS, including services such as SageMaker and Bedrock, • 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 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Job Title: \nHigh Level Technician (Rolling Stock)\n\nJob Location: \nSouthwest London \n\nHourly Pay Rate: \n£31.48 PAYE / £ 41.11 Umbrella \n\nShifts: \nMinimum of 50 hours a week \n\nShift Pattern: \nPanama . Days and nights\n\nDuration: \nOn-going contract\n\nStart Date: \nASAP\n\nIndustries considered: Rail, Rolling Stock, RAF, REME, Army, Navy, Marine, Avionics, Rolling Stock, Commercial/Industrial Electrics, Defence, Plant Engineering, SPM, HVAC, and Process Engineering\n\nDisciplines considered: Diesel Engine Fitter, Electrical Engineer / Mechanical Engineer, Mechanic, Avionic Technician, Aircraft Engineer, Marine Engineer, Maintenance Fitter, and Breakdown Engineer\n\nClient Summary: A world-renowned Rolling Stock vehicle manufacturing, service and maintenance company and is the number one provider of rail solutions in the world. This prestigious company is also the largest rolling stock manufacturer and provider in the UK and employs over 70,000 employees in 60 countries worldwide. \n\nPosition Summary: Reporting to the Reliability Shift Manager, as part of a small technical team, you will be required to assist the Fleet Operator to undertake / supervise primarily in the corrective mechanical and electrical maintenance, detailed fault finding and repair on the Class 345 Crossrail fleet of trains. Successful applicants will be responsible for ensuring that any maintenance undertaken at the depot is completed in accordance with the company's processes, procedures and comply with all safety regulations. This is Safety Critical environment and all tasks undertaken will need to ensure that the operator can achieve and maintain the reliability and availability targets set for the trains. The candidate will also assist the Operator when failures occur during service, and resolve any issues on the network.\n\nThe candidate will need to provide high level technical support to the operator which will include:\n* High Level fault finding electrically\n* High Level fault finding mechanically\n* Provide train systems engineering advice for the vehicle as a whole and for the key vehicle systems (such as TCMS - train control system, HVAC, propulsion, brakes, doors, on-train communications etc.) \n* FRACAS - Failure reporting, analysis and corrective action system\n* Produce solutions that provide short term mitigation and long term resolution \n* Monitoring of warranty issues and liaising with supplier technical teams \n* Attending to faulty trains in service, component replacements and modification work \n* Helping customer with root cause analysis using Alstom FRACAS, 8D, PPS methodologies. \n* Ensuring correct replacement parts are sourced \n* Assisting operator in updating of maintenance instructions, overhaul instruction, processes & procedures to optimize maintenance and liaise with Alstom Technical Publications and Central Engineering teams where required \n* Monitoring trains reliability & availability performance and issuing monthly performance reports \n* Monitor of trains in Service using remote monitoring system called Orbita \n* Down load train data from onboard train data recorders using laptops \n* Run diagnostics software to identify faults with various train systems i.e. hydraulic systems, pneumatic systems, train management systems & on board computers. \n* System software updates as required \n* Obsolescence avoidance and mitigation \n* Engineering support for all safety related incidents (NIRs), including representing the Customer with respect to access to Design Authority and equipment OEM's and the production of affirmative closing actions \n* Service Provider representation on Failure Review Boards, feeding back decisions and outputs to the Customer \n* Share experience gained of other fleets across the world which the Service Provider has supplied and/or supports, provision of recommendations and opportunities for design improvements, standardisation and/or modifications. \n* Contribution to Health and Safety on a daily basis. \n* Strong report writing skills. \n\nQualifications:\n* Minimum qualification required - NVQ Level 3 in an electrical discipline. \n\nExperience required:\n* Experience within Rail desirable \n* Use of Laptop's and diagnostic tools to determine faults \n* Ability to work from maintenance manuals and schematics \n* Experience of Mechanical or Electrical fault finding \n* Experience of Mechanical or Electrical repairs \n* Troubleshooting and evidence gathering. \n\nPerson profile:\n* You will be a highly self-motivated individual, able to work under your own initiative \n* You will possess excellent communication & interpersonal skills \n* You will need extensive all-round knowledge of Mechanical Engineering \n* You will need extensive all-round knowledge of Electrical Engineering. \n\nThis could also include the following:\n* Responsible for accurate completion of all paperwork prior to supervisor validation. \n* Undertake technical maintenance to the required standards.\n* Reliability monitoring reporting \n* Data analysing \n* Rip out and replace electrical components\n* Rip out and replace full or part of large wiring looms\n* Re-install wiring \n* Test Continuity\n* Battery Modifications\n* Repairing or installing Wi-Fi systems\n* Changing relay boxes / Wiper motors\n\nIf you wish to be considered for this role please send your CV including scanned copies of your qualifications and a scanned copy of your passport to (url removed) OR call (phone number removed).\n\nPLEASE NOTE ALL APPLICANTS MUST BE ABLE TO PASS A DRUGS AND ALCOHOL TEST BEFORE BEING OFFERED A POSITION.\n\nPlease note due to the volume of applications, we can only commit to contact those candidates we deem suitable for the position. However, we may retain your details and contact you in the future should suitable positions arise.\n\nPlease note the above job specification could be subject

We are working with a pioneering financial technology firm that is building a global institution for digital assets, designed from the ground up for market integrity and efficiency. Their disciplined, first-principles approach underpins everything they do - from institutional liquidity provision and trading solutions to OTC execution and treasury management. As part of their continued growth, they are seeking a Senior Exchange Connectivity Engineer to join their London office. This role sits at the heart of their trading infrastructure, focusing on ultra-reliable, low-latency integrations with major crypto exchanges. Key Responsibilities • Design and implement exchange connectivity modules (REST, WebSocket, FIX, proprietary APIs)., • Optimize order entry, market data ingestion, and account management for performance and reliability., • Contribute to a fault-tolerant, scalable connectivity framework using Rust and Typescript., • Collaborate with trading, infrastructure, and product teams to deliver high-quality integrations., • Monitor, debug, and continuously improve production systems., • Mentor junior engineers and help shape engineering best practices., • Participate in on-call rotations and occasional travel as needed. Ideal Candidate Profile • 3-5+ years of professional software engineering experience., • Minimum 1 year of hands-on experience integrating with crypto exchanges., • Strong understanding of networking fundamentals (HTTP, WebSocket, TCP, TLS)., • Proficiency in Rust or a strong C++ background with exposure to Rust., • Working knowledge of Typescript. Nice to Have • Experience with Web3 / DeFi protocols., • Leadership or mentoring experience., • Familiarity with traditional finance connectivity protocols (ITCH / OUCH / UDP Multicast). This is a unique opportunity to join a high-impact team shaping the future of digital asset infrastructure. If you're passionate about building robust systems and thrive in a fast-paced, collaborative environment, we'd love to hear from you.

Data Engineer - Investment Platform £90k–£140k + bonus + benefits Hybrid | Central London There's a quiet data problem at the heart of private markets and a London fintech is building the infrastructure to solve it. Every PE fund, credit strategy and infrastructure vehicle reports NAVs, capital calls and investor positions differently. Different fund admins. Different formats. Different cadences. Some APIs are terrible. Many don't exist at all. Now imagine giving a wealth manager in Zurich, a private bank in Hong Kong and an adviser in Sydney one clean, regulator-ready view across all of it - in near real time. That's the challenge that we need a software & data engineer to solve. You'll own ingestion pipelines from global fund administrators, design scalable data models across relational, NoSQL and Delta architectures, and solve the reconciliation problems that turn fragmented investment data into a clean, unified layer the platform can rely on. You'll also help shape how AI gets embedded into the platform - not as a side experiment, but as core infrastructure. The engineering environment is modern and evolving fast. You get room to shape systems, not just maintain them. Python and Azure underpin a modern distributed data platform built around ingestion pipelines, lakehouse architecture, streaming workflows, Databricks, CI/CD, observability and product-facing data services. The team is actively pushing further into AI-native workflows - using LLMs to improve ingestion, reconciliation and reporting, while investing heavily in data quality, lineage and platform reliability. The wider application stack is React, TypeScript and Node, so this isn't a siloed data engineer role hidden away from the product. Engineers here work across the platform where it makes sense: infrastructure, pipelines, APIs, application architecture and the data experiences exposed to end users. Engineering culture matters too. Leadership comes from deep trading-tech and asset management infrastructure backgrounds. Pragmatic people. Low ego. Strong technical standards. The kind of environment where good architectural pushback is welcomed. You'll enjoy logging every morning if: • Care deeply about data quality and clean engineering, • Enjoy solving messy, high-consequence data problems, • Like operating across data, infrastructure and application engineering, • Want ownership, not endless Jira ticket throughput, • Are curious about fintech, wealth or private markets, • See AI as an opportunity to build better systems, not just automate tasks You don't need prior private markets experience. What matters is strong engineering judgement, deep Python capability and the ability to navigate messy, real-world data problems without overengineering them. Curious to know more? Hit apply or send me a DM — informal first conversations are taking place now.

🚀 Senior Data Engineer (Cloud Data Platform / Lakehouse) We’re hiring a Senior Data Engineer to build and scale a global cloud-native Data Lakehouse platform powering quantitative research and trading analytics at massive scale. 💡 What you’ll do • Build & evolve a large-scale Data Lakehouse (AWS), • Develop Python-based data pipelines for high-volume financial data, • Design OLAP / distributed data models for analytics & trading use cases, • Optimise performance across multi-region data platforms, • Ensure data quality, reliability, and consistency at scale, • Partner with quants, researchers, and traders on critical data products 🧠 What we’re looking for • Strong Python + SQL (essential), • 5+ years in data engineering / platform engineering, • AWS experience in production data environments, • Hands-on with Spark / Kafka / Snowflake / Databricks (or similar), • Experience with data lakes / lakehouse / distributed systems, • Background in financial services, trading, or quantitative environments

Senior Software Engineer (Systems & Automation) London, Hybrid, Permanent We are partnering with a high-growth technology firm in London to find a Senior Software Engineer who excels at the intersection of product engineering and operational efficiency. This is a role for an engineer who is naturally bothered by manual bottlenecks and has the drive to automate them away. Our client is looking for a "force multiplier", someone who spends their time both shipping core product features and refining the internal engines that allow the entire engineering org to move faster. The Role This is not a siloed DevOps or Infrastructure role. You will be a core contributor to the application codebase while taking primary ownership of the workflows, tooling, and pipelines that support it. • Workflow Optimization: Identify and resolve friction in the developer experience, from reducing build times to refining CI/CD feedback loops., • Internal Tooling: Design and build bespoke automation, operational dashboards, and scripts that eliminate repetitive manual tasks across the business., • Cross-Boundary Integration: Solve complex problems that span multiple systems, including data onboarding pipelines and API integrations., • Product Delivery: Contribute directly to the core product, shipping high-quality features while ensuring the underlying systems remain robust., • Technical Initiative: Act as a self-starter who notices systemic inefficiencies and independently proposes and implements technical solutions. Technical Focus You will work across various layers of the stack, moving fluidly between application logic and the systems that deliver it. • Environment: High-scale SaaS platforms with a focus on automation and reliability., • Tooling: Expertise in modern CI/CD architectures, automated testing frameworks, and internal tool development., • Application Code: Proficiency in building and maintaining production-grade product features., • Data & Pipelines: Experience building ingestion workflows and connecting disparate internal data sources., • Stack Versatility: You are highly proficient in Python (FastAPI) and TypeScript (React/Next.js), with a solid grasp of SQL and GCP. The Profile • The Practical Automator: You have a track record of saying "this process is slowing us down" and then building the tool to fix it., • Full-Stack Mentality: You are comfortable working in application code, data pipelines, and deployment systems., • Product-Minded: You enjoy building features for end-users, but you care deeply about the engineering discipline required to ship them., • Pragmatic Ownership: You avoid abstract optimization, focusing instead on solving real, measurable operational friction.

Senior Java Engineer – Low Latency Trading London / New York (Hybrid) Skills: Java, Java 23, Low Latency, Trading Platforms, Market Data, Aeron, Kafka, Chronicle, FIX Artemis Talent is partnering with a leading trading technology firm building high-performance, real-time trading systems used across global markets. This is not standard backend engineering. You’ll be working on latency-sensitive infrastructure across order management, execution, and market data where performance and reliability are critical. The Role • Design and build low-latency, high-throughput Java systems, • Optimise performance across latency, concurrency, and memory, • Contribute to mission-critical trading platforms (OMS/EMS, market data), • Strong Java experience (6+ years), • Background in low-latency / high-performance systems, • Deep understanding of:, • Concurrency & multi-threading, • JVM tuning & memory optimisation, • Network programming (TCP/IP, NIO), • Experience within trading systems / financial markets, • Work on real-time trading infrastructure, • Solve complex performance challenges at scale You will have real input into new technology at the fore of a re-architecture. Please reach out for details

Higher is working with one of the most technically serious enterprise AI companies in London to hire 2 Lead AI Engineers. You should know about them. Their clients include Johnson & Johnson, Cisco and Syneos Health. Their investors include the CEO of Revolut. And they're solving one of the hardest problems in enterprise software today. THE PROBLEM THEY ARE SOLVING Most AI in the enterprise is cosmetic. Dashboards. Copilots. Tools that assist, but don't act. This company is building something different: Digital Workers, autonomous AI systems that execute complex knowledge workflows end to end, with human-level reliability. Founded nearly 10 years ago, with over $50m in funding from some of the UK's most prominent VCs, they've built a platform that actually runs in production at global scale. THE ROLE As Lead AI Engineer, you will embed directly with enterprise clients, untangle their most complex operational workflows, and architect the agentic systems that automate them. This is a forward-deployed, client-facing role that demands both deep technical capability and the maturity to operate at the business level. You will own delivery end to end, from architecture through to production. The team is 45 people, nearly 20% with PhDs. They value intellectual rigour, ownership, and a genuine drive to win. They come together at their West London office 1-2 times per week. WHAT YOU BRING • 5+ years hands-on experience building and deploying production-grade AI systems using LLMs, RAG pipelines, MCPs and agentic workflows, • A track record of leading complex, client-facing technical engagements, • Strong system design and architecture skills, with the ability to turn ambiguous business problems into scalable AI solutions, • Experience setting technical direction and driving delivery to measurable outcomes, • Solid understanding of evaluation, reliability and performance in production AI systems Tech stack: Python, modern LLM frameworks, orchestration tooling, and cloud platforms (AWS, GCP or Azure). WHAT'S ON OFFER • Up to £120,000 base salary + high-value share options, • 25 days holiday plus bank holidays, with carry-over and sell options, • Pension scheme, life cover at 4x salary, • Health and dental insurance options, • Learning and development budget, work abroad days, • Cycle to work, tech purchases scheme Higher is a specialist AI executive search firm. This search is being conducted confidentially on behalf of our client. To be considered, please apply or reach out to Kelly Gauthier at .