Ai engineer jobs in LondonCreate job alerts

AI Engineer - Forward Deployed London - hybrid (2-3 days in office) £115-175k plus performance bonus A leading growth equity firm investing in enterprise technology businesses across the UK and Europe is hiring an elite Forward Deployed AI Engineer - an influential, hands-on individual contributor who will play a foundational role in shaping how AI is used across the investment lifecycle. Were interes... ZIPC1_UKTJ

Lynx Recruitment is supporting a leading organisation within financial services searching for a Data Engineer to design and build scalable, cloud-first data platforms that drive innovation and data-led decision-making. You will work across the full data lifecycle — engineering secure, high-performance pipelines and modern data platforms that enable analytics, AI, and enterprise insights. Key Responsibilities • Build and optimise ETL/ELT pipelines, • Design and manage data warehouses, lakes, and cloud-native platforms, • Implement monitoring, governance, security, and regulatory compliance frameworks, • Deliver high-quality datasets to analytics and business teams, • Support AI and advanced analytics initiativesRequirements, • Degree in IT, Computer Science, Software Engineering, or related field (minimum 2:1 classification), • Strong SQL & Python, • Hands-on ETL/ELT experience (e.g., Matillion, Talend, Fivetran, ADF), • Experience with Snowflake (AWS/Azure/GCP beneficial), • Strong data modelling knowledge, • Understanding of data governance and security best practices Interested in building modern, enterprise-scale data platforms in a highly regulated environment? Apply now!

Microsoft Fabric Engineer - London Hybrid working - London Salary upto £90,000 A leading client in London seeks a Microsoft Fabric Engineer to design and deliver data and AI solutions on the Microsoft Fabric platform. As Technical Lead for a small team, you'll oversee end-to-end architecture, develop scalable analytics solutions, and stay hands-on. Responsibilities include delivering Fabric solutions ... ZIPC1_UKTJ

AI GTM Solution Engineer (GenAI / LLM / Pre-Sales) Were hiring an AI GTM Solution Engineer to help shape and deliver cutting-edge Generative AI (GenAI) and LLM-powered solutions for enterprise customers. This is a customer-facing pre-sales / solution engineering role where youll design, prototype and demonstrate AI solutions, working closely with sales, product and engineering teams. Key Responsibili... ZIPC1_UKTJ

Site Reliability Engineer (Security Cleared) • Salary to £60k + Company Options Scheme, • Preference for hybrid working between your home, their offices (London Vauxhall) & client sites however fully remote working may be considered for the ideal candidate. NB: Please only apply if you already have UK Security Clearance (SC). Overview This company is a Workflow & AI Orchestration Specialist. They're on a mission to modernise how public sector organisations manage casework, derive insight from data and deliver citizen services. They’re growing fast and looking for bright, dynamic people to help build their business. Role They’re looking for a (Security Cleared) Site Reliability Engineer (SRE) to join their growing platform and delivery teams. You’ll help design, build, and operate reliable, secure, and performant infrastructure that underpins critical public-sector services. You’ll combine your background in DevOps, cloud engineering, and automation with a focus on reliability, observability, and scalability. You’ll also work with event-driven technologies, identity and access management, and data platforms, ensuring our orchestration solutions are resilient, secure, and future-ready. This is an exciting opportunity for an engineer who thrives on solving complex infrastructure and automation challenges, automating everything, and shaping secure-by-design delivery environments. Key Responsibilities Design, deploy, and manage containerized workloads using Kubernetes and Red Hat OpenShift Provision and manage infrastructure using Terraform Build and operate scalable infrastructure in Amazon Web Services (AWS) Design, implement, and maintain robust CI/CD pipelines Improve system reliability, observability, performance, and security Implement monitoring, logging, and alerting solutions Troubleshoot production incidents and perform root cause analysis Collaborate with development teams to improve application resilience and deployment processes Required Skills & Experience Experience in Site Reliability Engineering, DevOps, or similar roles Strong hands-on experience with Kubernetes and container orchestration Experience working with Red Hat OpenShift in production environments Proficiency in infrastructure as code using Terraform Solid experience with Amazon Web Services (AWS) Experience designing and maintaining CI/CD pipelines NB: Please only apply if you already have UK Security Clearance (SC). Other Stuff NB: for non-UK Citizens; we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment status. If you are utilising a work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Site Reliability Engineer Site Reliability Engineering, DevOps Kubernetes container orchestration Red Hat OpenShift Terraform Amazon Web Services AWS CI/CD Bash Python monitoring observability cloud architecture London hybrid remote AI artificial intelligence security cleared security clearance SC

Senior Growth Engineer -Hybrid - London Role Overview I am supporting a high growth D2C supplement brand who are seeking a high-leverage Senior Growth Engineer to operate at the critical intersection of ecommerce and AI automation. This is a pivotal role designed for a technical 'builder' who can bridge the gap between commercial strategy and execution. Working directly with the ecommerce leadership... ZIPC1_UKTJ

Solutions AI EngineerLondon hybrid (3 to 4 days per week in London) | £65,000 to £90,000 plus benefits This is a chance to join a growing AI product business where solutions are built for real-world use, not experimentation. You will sit at the intersection of engineering and client delivery, shaping how generative AI is deployed in complex, regulated environments. The role offers meaningful ownership, exposure to senior stakeholders, and the opportunity to see your work used as critical production infrastructure. The Company They are an AI software company that has evolved from bespoke consultancy into a product-led organisation. Their generative AI platform is used by professional services firms to automate structured, document-heavy workflows in highly regulated sectors. The Role • Work directly with end users to understand requirements and design AI-driven workflow solutions, • Build, configure, and maintain production-grade generative AI features alongside software engineers, • Deliver bespoke proofs of concept that often progress into live product functionality, • Support commercial activity through tailored demos and client-facing solution walkthroughs, • Strong commercial experience using Python in applied AI or machine learning contexts, • Proven delivery of end-to-end AI solutions such as RAG systems, LLM-powered applications, or agent-based workflows, • Experience working closely with clients or end users, translating real requirements into technical solutions, • Solid software engineering fundamentals, including maintainable code, testing, and collaboration with engineering teams, • Practical knowledge of prompt engineering, RAG pipelines, agent workflows, and model evaluation, • Familiarity with modern GenAI tooling such as LangChain, LangGraph, or similar frameworks, • Salary between £65,000 and £90,000 depending on level, plus benefits, • Hybrid working with a strong in-office culture based in central London, • The opportunity to work on production AI systems used in regulated industries Apply now to explore how this Solutions AI Engineer role could be the next step in your career.

Senior Software Engineer (Backend)London - Hybrid (3 days in office) Up to £85k + benefits What if the systems you built were used every day by millions of readers around the world? A long-established, AI-driven technology business is hiring a Senior Software Engineer to work on products used daily by leading global media and publishing organisations. Founded over a decade ago, the company builds data-driven, machine-learning-led products that operate at scale, helping publishers make smarter decisions around content, engagement, and audience growth. This is a hands-on senior role within a strong London-based engineering team, focused on backend systems at the core of the platform. The role * Build and evolve backend services powering AI-driven products * Focus on scalability, performance, and reliability * Work closely with Product and Data Science * Contribute to architecture and technical improvements Tech Stack:- Java, Python, AWS, MongoDB, MySQL, Kubernetes, Git What they're looking for: * 5+ years' backend or server-side engineering experience * Strong system design and production experience * Autonomous, senior-level engineer * Background from strong engineering environments If you would like to find out more, please contact James Chau at .

Job Title: Senior DevSecOps EngineerLocation: LondonContract Length: 12 monthsWorking Pattern: Hybrid, Via Umbrella Company Join Our Team! Are you ready to take your career to the next level in a dynamic, fast-paced environment? Our client, a leading financial institution, is seeking a passionate and experienced Senior DevSecOps Engineer to lead the charge in defining and implementing cutting-edge CI/CD and DevSecOps strategies! What You'll Do: As a key player in our client's engineering team, you will: • Define & Own: Craft and manage the enterprise CI/CD and DevSecOps strategy to align with security, risk, and governance standards., • Architect Solutions: Develop CI/CD approaches that cater to multiple teams and technologies while ensuring quality, security, and scalability., • Enhance Cloud Applications: Provide your expertise in building cloud and cloud-ready applications, and support containerized workloads using Docker and Kubernetes., • Integrate Security & Compliance: Embed security controls directly into CI/CD pipelines, ensuring solutions meet all governance and regulatory requirements., • Engage Stakeholders: Build strong partnerships with functional teams and translate complex technical concepts into clear recommendations for various audiences., • Core Technical Experience: Extensive experience in designing enterprise-scale CI/CD solutions, with a focus on GitLab. Hands-on experience in supporting build pipelines for Java, C#, JavaScript, and Python is essential., • Cloud & Containerization Expertise: Proven ability to deliver containerized and cloud-ready applications, with experience in integrating CI/CD pipelines with cloud services., • Financial Services Acumen: Familiarity with highly regulated environments, especially in the financial sector, and a strong understanding of risk management and governance frameworks., • Leadership Skills: You should operate effectively as a senior individual contributor, demonstrating sound judgment, professionalism, and integrity while influencing outcomes without direct authority., • Secure, scalable, and trusted CI/CD platforms across the organization., • Efficient and compliant delivery of containerized and cloud-ready applications., • Seamless integration of security and governance into delivery processes., • Empowered development teams capable of navigating control frameworks effectively. Why Join Us? This is your opportunity to be at the forefront of innovation in the financial services industry! You'll work in a collaborative environment where your expertise is valued, and your contributions will make a real impact. Ready to Make a Difference? If you're driven by a passion for engineering excellence and are ready to take on new challenges, we'd love to hear from you! Apply now and join our client's mission to innovate and lead in the financial sector. Your next big opportunity awaits! We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Telemetry & Observability Engineer | Contract | £475-£515 p/d | Inside IR35 | London | 3 days on site | 6 month contract We are seeking a highly skilled Telemetry & Observability Engineer to join a large-scale enterprise engineering environment focused on improving system reliability, visibility, and operational intelligence across complex distributed platforms. This role is ideal for a hands-on engineer who can go beyond using observability tools and instead design, build, and automate observability and telemetry solutions from the ground up. You will be responsible for building and evolving telemetry pipelines and observability infrastructure across a distributed, cloud-native environment. Working closely with network, platform, and software engineering teams, you will help embed observability into engineering workflows and CI/CD processes. Key Responsibilities • Design and implement scalable pipelines for metrics, logs, traces, and event data across distributed systems, • Build and enhance observability tooling, including dashboards, monitoring systems, alerting frameworks, and reliability standards, • Develop and maintain telemetry solutions using OpenTelemetry and related open-source technologies, • Automate observability infrastructure using Terraform and infrastructure-as-code practices, • Integrate monitoring and observability into CI/CD pipelines and SDLC processes, • Define and support SLIs, SLOs, and alerting strategies in collaboration with engineering teams, • Promote best practices in instrumentation, monitoring, and incident response, • Proven experience in observability, SRE, or platform engineering roles within complex distributed environments, • Strong hands-on experience with OpenTelemetry, including building and managing telemetry pipelines, • Experience with observability and monitoring tools such as: Grafana, Prometheus, Elastic / Splunk, Loki / Jaeger or similar, • Strong experience with Terraform or other infrastructure-as-code tools, • Solid understanding of cloud-native environments (Kubernetes, microservices, distributed systems), • Experience working within or alongside network engineering or infrastructure operations teams, • Programming experience in at least one language such as Python, Go, or Java, • Strong understanding of SLOs, SLIs, and modern reliability engineering practices, • Experience in regulated or large enterprise environments, • Exposure to AI/ML-driven observability or proactive monitoring initiatives Telemetry & Observability Engineer | Contract | £475-£515 p/d | Inside IR35 | London | 3 days on site | 6 month contract Oscar Associates (UK) Limited is acting as an Employment Business in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Job Title: Python Data Engineer (Greenfield Build) Location: Central London (Hybrid - 3 days in office / 2 days remote)Contract: 12-month Fixed-Term Contract (with benefits + 10% year-end bonus) Overview We are working with a leading financial services organisation to hire two Python-focused Data Engineers to support a major greenfield data transformation programme within its Investments and Finance functions. These roles will sit across Shared Services, working closely with senior investment leadership and cross-functional stakeholders to design and build a consolidated data platform from scratch. The Opportunity This is a rare opportunity to join a ground-up build of a strategic data solution. The successful candidates will play a key role in replacing manual data processes with an automated, scalable Python-based architecture, enabling more accurate and consistent investment reporting across the business. The first phase of the programme will focus heavily on hands-on development, followed by broader collaboration, stakeholder engagement, and transition into business-as-usual operations. Key Responsibilities • Build a consolidated data platform from scratch using Python, • Automate existing manual data processes across investment and finance data sets, • Design and implement scalable data solutions to improve reporting accuracy and consistency, • Work closely with senior stakeholders across Investments and Finance, • Collaborate with cross-functional teams to embed and operationalise the solution, • Support knowledge transfer and handover into BAU, • Strong expertise in Python (this is the core requirement), • Experience in data analytics and data manipulation, • Exposure to AI tooling or applied data science techniques, • Experience with Snowflake, • Experience with Databricks (Not essential) Candidate Profile, • Strong Python engineer with a data-focused background, • Comfortable working in greenfield / build-from-scratch environments, • Strong stakeholder management and communication skills, • Able to work across business and technical teams, • Agile and adaptable to changing business priorities, • Industry background is flexible (financial services experience not essential)

Robert Half Technology are assisting a market leading financial services to recruit a Python Developer on an initial 12 month FTC basis. London based - hybrid working This role is primarily to provide AI integration support and guidance to a team of around 25 investment, operations and support personnel. We are in the early stages of this process so the role will be well positioned to help guide how the integration looks. The second function of the role is providing support, when needed, to the Python and SQL based reporting suite used by the operations team. Role • The Python Developer will lead the AI integration project, focusing on data security and controls appropriate for the needs of the different teams within the business, • Train staff to use AI tools both efficiently and securely, • Work with our outsourced IT provider to ensure that we stay up to date with developments in AI security and integration, • Docker, Postgres, REST APIs, SFTP, Websockets, • OOP + Asynchronous Design Patterns, • PowerQuery/DAX/M, • Industry standard libraries used in software development within finance (pandas, numpy, scipy etc), • MS Graph, • Experience with the following technologies is nice to have:, • NodeJS, • Grafana, • VBA, • OpenAI API The Python Developer will have experience with the following: • Data processing and transformation, • Report maintenance/production, • Management of automated processes, • Use/management of virtual machines, • Investigation of reporting breaks/inconsistencies with an eye for detail, • The ability to quickly adopt and use the stack of previous developers, • Experience with migrations is a nice to have, • Market leading financial services organisation, • Initial 12 month FTC, • Global presence with offices in London The salary range/rates of pay is dependent upon your experience, qualifications or training. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Job Title: Senior Project Engineer Location: LondonSalary: £50,000 - £60,000 (depending on experience)Type: Full-time, Permanent Overview We are seeking a highly skilled Senior Project Engineer to join our growing Managed Service Provider (MSP) team. This role is ideal for an experienced engineer who thrives in project delivery, enjoys working with modern Microsoft and cloud technologies, and is confident leading technical implementations from discovery through to completion. You will play a key role in designing, delivering, and optimising IT solutions for a diverse client base, with a strong focus on Microsoft ecosystems, Azure cloud services, automation, and emerging AI technologies. Key Responsibilities • Lead and deliver end-to-end technical projects for MSP clients, • Conduct client discovery sessions, technical assessments, and infrastructure audits, • Design and implement solutions across Microsoft and cloud platforms, • Deploy and manage Microsoft 365, Azure, and hybrid environments, • Identify opportunities for automation and efficiency improvements, • Support the integration and use of AI-driven tools and workflows where appropriate, • Produce high-quality technical documentation and project plans, • Act as a senior escalation point for complex technical issues, • Collaborate with internal teams and stakeholders to ensure successful project outcomes, • Strong experience in a Senior Engineer or Project Engineer role within an MSP environment, • Deep knowledge of Microsoft technologies (Windows Server, Active Directory, Microsoft 365), • Proven experience with Microsoft Azure (IaaS, PaaS, migrations, governance), • Solid understanding of cloud architecture and hybrid environments, • Experience with automation tools (PowerShell, scripting, workflow automation), • Exposure to or experience with AI technologies and their application in IT environments, • Strong experience conducting technical discoveries, audits, and documentation, • Excellent troubleshooting and problem-solving skills, • Microsoft certifications (e.g., Azure Administrator, Solutions Architect), • Experience with backup, disaster recovery, and security best practices, • Knowledge of networking (firewalls, VPNs, routing, switching), • Proactive and solutions-focused mindset, • Strong attention to detail, • Ability to manage multiple projects simultaneously, • Comfortable working independently and as part of a team, • Competitive salary (£50,000 - £60,000), • Opportunity to work with modern cloud and AI technologies, • Career development and certification support

Senior Product Engineer, Full Stack - Energy £70,000 to £95,000 Permanent London, hybrid The opportunity Our client is hiring a Senior Product Engineer, Full Stack, to help build the next generation of customer-facing software in the energy market. Operating in a complex, high-value sector, the business is combining technology, data, and product thinking to modernise an area of the energy industry that has historically been underserved by great software. We have already placed 3 people into the business and are pleased to be supporting them again on this important hire. This is a genuinely exciting opportunity for a frontend-strong engineer who wants real ownership, autonomy, and the chance to build products from scratch. They are looking for someone with strong React and TypeScript capability, alongside solid backend exposure across Python, APIs, and databases. As a Senior Product Engineer, Full Stack, you will play a key role in shaping what gets built, how it is built, and how it evolves as the business scales. For the right person, this is a chance to join a growing company at the right stage and make a visible impact. The role is based in Mayfair, London, with a hybrid setup of 2 to 3 days per week in the office. The role This Senior Product Engineer, Full Stack role has a clear frontend lean. They need someone who can build high-quality frontend products from scratch, while also working confidently across backend services, integrations, and data-driven workflows. The frontend is a central part of the brief, but they want someone who understands the wider system and can contribute beyond the UI. The product sits in a data-rich environment, with workflows across billing, metering, reporting, consumption, and asset performance. They need an engineer who can take complexity and turn it into clean, reliable software that customers genuinely value. This is a high-ownership role in a growing team, well suited to someone who enjoys pace, autonomy, and being trusted to deliver. What you will be doing • Building customer-facing products from scratch using React, TypeScript, and modern frontend tooling, • Owning frontend quality, user experience, and engineering standards, • Contributing across the stack, including backend integrations, APIs, product logic, and Python-based services, • Working with SQL, Databricks, and related data systems, • Turning complex operational and commercial workflows into clear product experiences, • Collaborating closely with product, engineering, data, and leadership, • Strong React and TypeScript experience, • A frontend-strong engineer who can build products from scratch, • Solid backend exposure, ideally with Python, • Experience with databases and data platforms such as SQL and Databricks, • Experience building customer-facing software in a commercial environment, • Strong product instincts and a practical, hands-on approach, • Energy, trading, or fintech experience, • Startup or scale-up background, • Data visualisation experience, • High ownership from day one, • The chance to build frontend products from scratch, • Real influence over product and technical direction, • Broad exposure across frontend, backend, data, and product This is a strong opportunity for a Senior Product Engineer, Full Stack who wants to build meaningful products in the energy market, with real autonomy and scope to grow. If you are strong in React and TypeScript, but also comfortable across backend systems, Python, APIs, and data platforms, this role offers the chance to make a genuine impact in a growing business.

Senior Software Developer, AI Engineering, London, COR7550 Are you a Software Engineer with a passion for AI and building scalable systems from the ground up? This is a rare opportunity to join as an early member, shaping both the technology and the engineering of an ambitious product! The RoleAs a Senior Software Engineer, you’ll play a pivotal role in designing and delivering a modern, AI-driven platform. Your work will span multiple areas, from developing intelligent systems and data pipelines to contributing to scalable SaaS infrastructure. You’ll help define architecture, improve developer workflows, and ensure systems are robust, secure, and production-ready. This role offers the chance to take ownership, influence technical direction, and build systems designed to scale rapidly. The CompanyThis company is focused on building a high-growth, technology-led product with a strong emphasis on engineering efficiency and quality. They prioritise smart tooling, fast iteration, and reliable delivery, enabling a lean team to achieve significant impact. Engineers are empowered to shape both the product and the processes that support it. This role is based in London. What’s Required?The ideal candidate for the role will have the following: * Strong software engineering fundamentals, with the ability to design and deliver production-ready systems * Familiarity with modern technologies such as Python, TypeScript, React, and PostgreSQL * Experience with AI engineering, data engineering, and cloud-based SaaS infrastructure are all highly beneficial * A proactive, solution-focused mindset, with the ability to take ownership of problems and design effective solutions * Experience in regulated or data-intensive industries would be a big plus! Apply now to help build and scale an AI-driven platform from an early stage where you will have real ownership and impact! Senior Software Developer, AI Engineering, London, COR7550 Corriculo Ltd acts as an employment agency and an employment business. #JC #ChannelA

Full Stack Engineer LegalTech / GenAI London (5 days onsite) Between £70,000 - £180,000 + Equity The Company My client are a fast-growing legal-tech startup applying Generative AI to the entire IP lifecycle - patents, trademarks, and legal documentation. They build real production systems used by 400+ IP teams globally, including top law firms and major enterprises. Why they stand out: • Series B funded, £55m raised, • 10x+ ARR growth in the last year, now eight figures, • Already profitable, • Scaling rapidly: ~20 60 people in London this year What You'll Work On • AI-powered legal drafting & document editing, • Vector search & citation systems, • Patent litigation tools (claim charts, large-scale analysis), • Professional-grade legal workflows (not just chat UIs) The Role They're hiring senior Full Stack Engineers, open to backend- or frontend-leaning profiles. • Build and scale core backend foundations, • Design APIs and data systems for global scale, • Work closely with founders on product direction, • Own complex UIs for AI-driven legal workflows, • Heavy work with WYSIWYG editors (TinyMCE / CKEditor), • Still hands-on with backend to deliver end-to-end features What They're Looking For • Strong Python and/or TypeScript and React, • Solid full-stack fundamentals, • Top academic background preferred, • Comfortable moving fast in a startup environment, • Happy being in the office 5 days a week

Machine Learning Engineer (Contract) £500-600 per day3 months (4 days per week) London (Hybrid, ~1 day per week) IR35: TBC We're working with an AI company in the trade and logistics space at a critical inflexion point, moving from enterprise pilots into production deployments. With strong ML capability already in place, they now need a senior contractor to come in and audit, structure, and productionise their existing ML systems. This role is focused on fixing and scaling what already exists, not building from scratch. The Role You will work directly with the technical co-founders to bring structure, scalability, and best practices across their ML and data setup, ensuring it is ready to support multiple enterprise deployments. Key responsibilities: Audit current ML architecture, pipelines, and MLOps practices Identify gaps in documentation, reproducibility, and scalability Introduce clear structure across model development, versioning, and deployment Improve training and retraining workflows Strengthen model monitoring, evaluation, and performance tracking Support productionisation and inference pipeline improvements Ensure systems are maintainable for future hires Provide a clear, pragmatic path from pilot to production You will also contribute to ongoing analytical work (risk modelling, anomaly detection), but the primary focus is on ML system structure and scalability. Technical Environment High-volume ETL/ELT pipelines (multi-source ingestion: SAP, APIs, email, flat files) Client-specific models built on shared base models (micro-model architecture) Feedback-driven learning loops and model iteration LLM workflows for document analysis (multi-prompt pipelines) AWS and GCP infrastructure (Azure being introduced) Containerised deployments with CI/CD * Multi-environment deployment (cloud, hybrid, on-prem) Your Skills & Experience Strong Python and hands-on ML engineering experience Proven experience in productionising ML systems end-to-end Experience auditing and improving existing ML setups Strong MLOps experience (model versioning, monitoring, CI/CD) Experience working with data pipelines (ETL/ELT, Spark or similar) Comfortable working with messy, real-world data and complex business logic Experience in small, fast-moving teams (startup, scaleup, or consulting) Strong communication and documentation skills Nice to have: Experience with LLM workflows (RAG, LangChain, etc.) Experience in logistics, trade, or compliance data * Experience supporting client-facing or pre-sales conversations To Apply: Please email

Are you ready to start a new career in AI Engineering? AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. In today’s digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away. Newto Training can support you at any stage of your career journey whether you’re new to the industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready. Step One: Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications all alongside real-world project work to harness the power and understanding of these technologies. We also provide two digital badges: CompTIA AI Essentials and CompTIA AI Prompting Essentials. Step Two: Study and take your three AI and data certifications: Azure AI Fundamentals, Azure Data Fundamentals, CompTIA Data+ and CompTIA Data AI Step Three: Now that you’re qualified for an entry-level AI or data position paying up to £35,000 per year. Our recruitment support team will begin working with you to help secure a role that suits your new qualifications and any other experience you bring. Course cost - £2295, or, £191.25 per month We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. Click ‘Apply Now’ to begin your new career!

Job Title: Machine Learning Engineer (Mid-Level) Salary: £70,000 Location: London Employment Type: Full-Time The Company Our client is an innovative and rapidly growing technology-driven organisation based in London. The business is building advanced data and AI capabilities to support intelligent products, predictive analytics, and automated decision-making across its platforms. With a strong investment in data infrastructure and machine learning technologies, the company is creating an environment where engineers can work on complex problems, develop scalable ML solutions, and collaborate closely with data scientists, engineers, and product teams. This is an exciting opportunity to join a high-performing team focused on delivering cutting-edge machine learning solutions that have a direct impact on business outcomes and product innovation. The Role The company is seeking a Mid-Level Machine Learning Engineer to design, build, and deploy machine learning models into production environments. You will work closely with data scientists and software engineers to develop scalable ML pipelines, optimise model performance, and integrate machine learning capabilities into production systems. The role involves working with large datasets, building robust ML systems, and supporting the full lifecycle of machine learning solutions—from experimentation to deployment and monitoring. Key Responsibilities Machine Learning Development • Develop, train, and optimise machine learning models for production applications, • Work with large datasets to build predictive and analytical models, • Collaborate with data scientists to transition models from research to scalable production systems ML Engineering and Deployment • Design and maintain machine learning pipelines and model deployment infrastructure, • Implement automated model training, validation, and monitoring processes, • Ensure models are scalable, reliable, and performant in production environments Data Engineering and Infrastructure • Work with data engineers to build efficient data pipelines and feature engineering processes, • Optimise data workflows to support model development and experimentation, • Contribute to the development of robust ML infrastructure and tooling Collaboration and Product Integration • Work closely with product, engineering, and analytics teams to integrate ML models into applications, • Translate business requirements into machine learning solutions, • Communicate technical insights clearly to stakeholders Continuous Improvement • Monitor model performance and retrain models as required, • Identify opportunities to improve algorithms, data pipelines, and system performance, • Stay up to date with emerging machine learning technologies and best practices Skills and Experience • Strong programming skills in Python, • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, • Experience working with SQL and large datasets, • Familiarity with data pipelines, feature engineering, and model optimisation, • Understanding of MLOps practices, model deployment, and monitoring, • Experience working with cloud platforms such as AWS, GCP, or Azure, • Strong analytical thinking and problem-solving skills Experience Required • 3–5 years’ experience in Machine Learning Engineering, Data Science, or AI development, • Experience deploying machine learning models into production environments, • Background working with large-scale data systems or data platforms, • Degree in Computer Science, Data Science, Mathematics, Engineering, or a related quantitative discipline What the Company Offers • Competitive salary of £70,000, • Opportunity to work on real-world machine learning systems and advanced AI solutions, • Collaborative engineering culture with strong technical mentorship, • Exposure to large datasets and cutting-edge ML technologies, • Clear career progression within a growing data and AI team, • Modern office environment in London This is an excellent opportunity for an ambitious Machine Learning Engineer who wants to work on impactful AI projects and contribute to building scalable machine learning systems within a growing and innovative organisation.

Principal Java Engineer (AWS / Microservices)Salary: Up to £100,000 + Bonus + BenefitsLocation: Coventry or Central London - Hybrid (2 days per week onsite)Working Hours: 40 hours per week - Full timeJob Type: Permanent A globally established organisation is seeking an experienced Principal Java Engineer to shape the future of large-scale digital platforms used by millions of customers. This role will focus on driving engineering excellence, defining technical standards and leading the design of scalable, high-availability systems across a modern cloud-native environment. Responsibilities for the Principal Java Engineer: • Define and evolve engineering strategy, standards and best practices across your domain, • Lead technical direction across multiple engineering teams and programmes, • Design and oversee delivery of large-scale, distributed systems using modern technologies, • Provide expert guidance on technical risk, architecture decisions and prioritisation, • Support Staff Engineers and development teams with deep technical leadership, • Drive adoption of DevOps, CI/CD, automation and modern engineering practices, • Leverage AI and intelligent automation to improve productivity and delivery outcomes, • Mentor engineers and contribute to a strong engineering culture and community of practice, • Deep hands-on expertise in Java, Spring Boot, Microservices, Kafka and AWS, • Strong understanding of software architecture and scalable system design, • Experience leading development of high-performance distributed systems, • Proven experience in a Principal, Lead or Senior Engineering role, • Experience defining and governing technical standards and engineering practices, • Experience influencing strategy across multiple teams or domains, • Practical experience using Generative AI tools to improve engineering productivity, • Strong advocate of Agile delivery and modern engineering ways of working, • Experience building collaborative engineering communities, • Comfortable making data-driven technical decisions at scale

Principal AI / Data Engineer (Contract):Length: 3 months initally (extension is likely) Start Date: ASAP Location: London, Hybrid (1 day per week) Pay Rate / Determination: £525-575 p/d | Outside IR35 About: Opus is supporting a UK-based digital consultancy partnering with organisations to design, build and scale high-impact digital and AI-driven products, with a strong people-first culture.The role: A hands-on Principal AI / Data Engineer contract to assess, shape and deliver improvements to a live AI platform across two critical workstreams.You'll be responsible for: • Assessing the current AI and data platform and define clear, actionable improvements, • Lead on delivery across two workstreams, aligning product, data and engineering, • Improving the natural language data exploration platform, focusing on trust and semantic consistency, • Designing and implementing scalable, multi-source data pipelines and architectureAbout you:, • Strong experience with Python and AWS, • Deep knowledge of data pipelines, AI/ML systems and modelling, • Experience with LLM- or NLP-powered platforms, • Strong focus on scalable, reliable system designPlease apply now and reach out to Adam at Opus for more informationE:

Ready to work at the intersection of embedded systems, audio processing, and AI in a true 01 product environment? We’re an early-stage, well-funded technology company building a next-generation intelligent hardware product, combining edge devices with cloud-based AI. Backed by experienced founders with a strong track record of building and scaling successful companies, this is a rare opportunity to shape a product from the ground up. Audio is a critical part of the product roadmap — with significant potential to unlock deeper data intelligence than traditional video-based systems — and we’re looking for an engineer to take ownership of this space end-to-end. Why Join • Work on a greenfield product at an early stage, • Own a core product pillar (audio + AI) from day one, • Collaborate across embedded, cloud, and ML teams, • High autonomy in a low-ego, high-performance environment, • Competitive salary + equity, • Strong long-term growth and learning opportunities The Role You’ll take full ownership of the audio subsystem, spanning real-time embedded processing through to cloud-based audio pipelines and ML integration. This role sits between embedded engineering and backend/AI — ideal for someone who enjoys both low-level systems and higher-level software. Key Responsibilities • Design and build end-to-end audio pipelines (edge cloud), • Implement and optimise DSP components (e.g. filtering, noise suppression, VAD), • Develop audio processing systems under real-time and resource constraints, • Build tools for analysis, testing, and performance evaluation, • Collaborate with ML engineers to enable audio-driven intelligence, • Debug and improve system performance across the full stack About You • 0-3 years’ experience in software engineering, embedded systems, or audio/ML, • Coding skills (C/C++ and/or Python), • Understanding of audio processing / DSP fundamentals, • Interest or experience in Audio ML, signal processing, or real-time systems, • Comfortable working across hardware and software boundaries, • Strong problem-solving ability and curiosity Nice to Have • Experience with audio codecs, streaming, or real-time systems, • Exposure to PyTorch / TensorFlow or ML pipelines, • Familiarity with cloud platforms (AWS or similar), • Competitive salary (flexible based on experience) + equity, • Visa sponsorship available (international candidates welcome), • In-person, highly collaborative working environment, • Opportunity to shape a core product capability in a scaling startup Apply Now If you’re excited by building real-world systems at the intersection of audio, embedded engineering, and AI, we’d love to hear from you. Keywords: Audio Engineer, DSP Engineer, Embedded Software Engineer, Audio ML Engineer, Signal Processing Engineer, Edge AI Engineer

Data Migration Engineer - Outside IR35 - RemoteOverview We are seeking an experienced Data Migration Analyst / Engineer to support a major data warehouse rebuild for a wealth management firm undergoing a large-scale system and data migration programme. Working closely with the Lead Data Engineer, this role will play a critical part in ensuring the new data warehouse accurately replicates existing outputs, while identifying and resolving any data gaps introduced during migration. This is a hands-on role requiring strong analytical capability, deep SQL expertise, and experience working in complex, regulated data environments. Key Responsibilities • Perform source-to-target mapping, documenting field-level lineage across systems and transformation layers, • Analyse and interpret complex legacy SQL stored procedures (including multi-CTE logic, temp tables, and parameterised pipelines), • Support data migration validation, ensuring accuracy and completeness of migrated datasets, • Conduct data reconciliation and gap analysis, identifying discrepancies between source and target systems, • Produce exception reports and support issue resolution, • Document data flows, transformations, and lineage in a clear and structured manner, • Collaborate with business and technical stakeholders to extract and validate requirements, • Support the design and validation of data models aligned to modern data warehouse practices (e.g., medallion architecture)Required Experience & Skills, • Proven experience in data warehouse migration within complex environments, • Strong background in financial services, ideally wealth or asset management, • Advanced SQL skills, with the ability to independently analyse complex legacy code, • Demonstrated experience in:, • Source-to-target mapping, • Data lineage documentation, • Migration validation and reconciliation, • Familiarity with medallion architecture principles, • Strong documentation skills with attention to detail, • Ability to engage stakeholders and extract critical technical and business knowledge, • Proficiency with:, • Azure SQL Server, • SQL Server Management Studio (SSMS)Desirable Skills, • Experience with custody or investment platform migrations, • Familiarity with wealth management CRMs (e.g., Curo or similar), • Exposure to:, • Azure Data Factory, • Azure Synapse Analytics, • Ability to review Power BI reports and identify field-level dependencies Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

About the job Senior Software Engineer (Backend / Systems Design) We’re working with a well-established, private equity-backed technology business operating across multiple international markets. The company builds and delivers critical, high-availability systems within sectors that demand reliability, scalability and long-term performance. Following continued growth and system evolution, they are looking to strengthen their engineering team with a senior hire. This is a senior-level Software Engineer role focused on designing, building and evolving large-scale, high-capacity systems within a complex, distributed environment. The Role • Design and build scalable, event-driven and distributed systems, • Translate product requirements into robust technical solutions and architecture, • Contribute across the full development lifecycle: planning, design, implementation and optimisation, • Maintain a balance of ~70% hands-on coding and ~30% architecture, planning and collaboration, • Work closely with Product and Engineering teams to define and refine system requirements, • Ensure high standards across code quality, testing and maintainability, • Support and mentor other engineers, contributing to coding standards and best practices, • Participate in code reviews, technical discussions and continuous improvement initiatives, • Troubleshoot complex issues across the system lifecycle Tech Environment • Predominantly PHP, including legacy systems (KPHP) transitioning to Laravel, • Some C# exposure – not essential but beneficial, • Backend-focused, with rare occasional frontend interaction (non-UI heavy systems), • Event-driven architecture and distributed systems at scale What They’re Looking For • Strong fundamentals in software engineering and system design, • Experience building and scaling backend systems in complex environments, • Ability to design for performance, reliability and future scalability, • Comfortable working across legacy and modernising tech stacks, • Experience working with Product teams on requirements and planning, • Solid understanding of coding standards, testing (TDD beneficial), and software quality, • Mentoring or guiding other engineers, • Exposure to distributed systems or high-throughput environments, • Frontend experience is a bonus, not a requirement Salary & Benefits • £75,000 base salary, • 5% annual bonus, • Benefits package included Working Setup • Hybrid environment with flexibility (typically up to 3 days in office, though this varies in practice and can be less) Additional Notes • Strong emphasis on core engineering fundamentals over reliance on tooling such as AI, • Candidates should be pragmatic, collaborative and technically grounded

Job Title: Full Stack Engineer Role Type: Contract (3 month initial) Location: London (Hybrid, 2-3 days onsite) Our client is looking for an experienced Full Stack Engineer, with strong experience delivering solutions into complex end client environments, alongside excellent communication skills, energy and the ability to thrive in a high performing, client facing engineering team. • Consulting mindset essential - experience delivering engineering services into end clients, ideally from a large consulting firm rather than solely an in house environment, • Strong Python engineer with hands on experience using SQL, AWS and Terraform, e.g. building investment analysis or data-driven platforms, • C# / .NET experience desirable (but not core) - typically for microservice changes, platform enhancements or Windows migration work rather than greenfield builds, • Investment Management / Financial Services experience highly valued, including work on investment or fund platforms and close collaboration with investment teams, quants and analysts, • Proven ability to operate in client-facing, high performing engineering teams, bringing pace, ownership and accountability, • Excellent verbal and written communication skills, with confidence engaging both technical and non-technical stakeholders

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Job Title: Senior Full Stack Engineer Location: London 4-5 days in office Contract: 12 months contract Rate: £100 per hours inside umbrella As a senior full stack engineer you will be instrumental in designing and developing web font-ends and back-end services for a new platform built to automate the management of the full lifecycle of complex private assets. Your expertise is expected to be pivotal in ensuring usability, scalability, performance and resilience of this high-profile platform.Job Responsibilities: * Collaborate closely with cross-functional team, including product owner, business analysts, scrum masters and engineering. Extensive experience in: * Java Spring Boot and Angular web development. * Micro-services and micro front-ends. • Reactive UX front end design patterns., • High availability and high scalability design patterns. * GitLab and CI/CD. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Full Stack Engineer - Inside IR35 - Hybrid We are looking for a Full Stack Engineer to help design, build, and operate scalable data systems that support analytical and data-driven workflows. You will work closely with users across the business to understand their needs, translate them into robust technical solutions, and continuously improve our data platform. This role is ideal for someone who enjoys working at the intersection of engineering, data, and user experience, with a strong focus on reliability, usability, and iterative improvement. Key Responsibilities • Design, build, and maintain production-grade data systems and pipelines, • Develop scalable solutions for data ingestion, transformation, and orchestration, • Collaborate directly with stakeholders to understand workflows, identify pain points, and deliver impactful solutions, • Operate and improve cloud-based infrastructure and services, • Support analytical and data-intensive workloads with performant, reliable systems, • Contribute to platform tooling and engineering best practices, • Troubleshoot issues and continuously enhance system reliability and performanceRequired Experience, • Some experience building and operating production systems, ideally developed iteratively over time, • Strong proficiency in Python, SQL, and cloud platforms (preferably AWS), • Experience with data pipelines and orchestration tools (e.g., Dagster), • Experience working with analytical or data-intensive workloads, • Ability to work directly with users to understand workflows, identify pain points, and translate them into technical solutions, • Strong problem-solving skills with a systems-thinking mindsetHighly Valuable Experience, • Experience with .NET, ideally C#, • Experience building internal platforms or developer tooling (e.g., PaaS), • Experience supporting data science or analytics workflows, • Experience with CI/CD pipelines (e.g., Azure DevOps) and infrastructure-as-code tools (e.g., Terraform), • Familiarity with modern data platforms such as Snowflake, • Exposure to machine learning / AI workflows and related tooling, • Strong familiarity with Python libraries and developer toolingNice to Have, • Experience in investment or financial services environments, • Exposure to R or mixed-language analytics ecosystems Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Graduate Software Developer | £50,000–£60,000 | Hybrid (London / Remote) Ready to build software that actually matters? Join a team where you’ll be solving real-world problems from day one — not just writing code in the corner. We’re looking for an ambitious Graduate Software Developer who loves tackling technical challenges, learning fast, and working with smart, supportive engineers. This is a genuine launchpad for your career in tech — ideal for someone who wants to grow into a Software Engineer, Machine Learning Developer, or Full-Stack Engineer role within 12–24 months. What You’ll Do • Design and build high-performance software used by thousands of users daily, • Develop clean, efficient, and scalable code in Python, C++ or JavaScript, • Collaborate with engineers, data scientists, and product teams on exciting new features, • Contribute to technical discussions and see your ideas implemented fast, • Get exposure to cloud computing (AWS / Azure), CI/CD pipelines, and AI tools What We’re Looking For • A recent STEM graduate (Computer Science, Engineering, Physics, Maths, etc.) from one of the top-ranked universities in the UK or equivalent, • Strong coding ability in at least one of: Python, C++, Java, or JavaScript, • Curiosity and problem-solving mindset — you love figuring things out, • Comfortable learning new technologies quickly, • Bonus: experience with Git, SQL, or personal projects you can show off Why You’ll Love It Here • Impact: You’ll write code that ships — not sit on sidelines, • Growth: Weekly mentoring, technical training, and rapid progression, • Tech culture: Collaborative, fun, and open to new ideas, • Perks: Hybrid working, performance bonus, team socials, and a clear salary review after 12 months Ready to Start? If you’re passionate about building software, learning fast, and doing real engineering — not just tutorials — we’d love to hear from you. Apply now with your CV. Let’s build something great together. Graduate Software Developer, Junior Developer, Entry-Level Developer, Python Developer, C++ Developer, Computer Science Graduate, Full Stack, Software Engineer, Cloud, Machine Learning, JavaScript, Coding Graduate, Graduate Technology Jobs

AWS Data Engineer - Snowflake CortexLondon (Hybrid) - £550/day - Outside IR35 | Retail 6-month contract (extendable) working on a cutting-edge Snowflake Cortex / GenAI data platform for a major retail organisation.What you’ll be doing: • Building data pipelines on AWS, • Developing high-performance Snowflake data models, • Delivering Snowflake Cortex AI/LLM use cases, • Working with large-scale retail data (sales, customer, inventory)You’ll need:, • Strong AWS Data Engineering background, • Hands-on Snowflake experience, • Exposure to Snowflake Cortex / GenAI, • SQL + Python**ASAP start, please reach out to Adam Akhtar at Opus for more detail.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Senior Java Software Engineer - Java Developer, Python, AWS, MySQL, NoSql, REST APIs, Microservices, Machine Learning, Artificial intelligence (Hybrid - 3 days a week in the office - Notting Hill) Description for the Senior Java Software Engineer role:- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning techniques. My client is revolutionising their industry with a track record of building things that others have ruled out as impossible. The Java Software engineer will join a very bright, talented team of engineers with the guidance of technologists who have help build up some of the best known technology companies today. You will have a great opportunity to work with a variety of languages, frameworks and tools. Applicants will need a background in Java with a focus on Server side technologies. Core skills for the Senior Java Software Engineer: • 5yrs+ in a commercial Development role, • Solid experience of Java, • Good knowledge of Cloud Technologies (AWS) and Microservices, • Strong database knowledge (SQL and NoSQL), • Degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering. Other benefits include:- Free breakfast and coffee, drinks and snacks all day/every day. Food ordered for a weekly team lunch. Regular team events (dinner, bowling, karting, poker nights, board-games etc.) The latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill. Senior Java Software Engineer - Java, Python, AWS, MySQL, NoSql, REST APIs, Microservices, Machine Learning, Artificial intelligence +++++Applicants must have the right to work in the UK, no sponsorship is offered for this role++++++++

Applied Research Engineer London (Hybrid) We're building a foundational intelligence platform that helps organisations turn fragmented information into durable institutional knowledge. Enabling better reasoning, faster decisions, and preserved context over time. Our initial focus is private capital, where information is complex and decisions are high stakes. Longer term, we're building core intelligence infrastructure for any information-led industry. This is not a chat interface on top of documents or workflow automation. We're building the intelligence layer underneath. The Role As an Applied Research Engineer, you'll own the core knowledge and retrieval infrastructure that everything else builds on. You'll work at the intersection of knowledge representation, information retrieval, and applied NLP, translating research ideas into production systems that reason over real-world, proprietary data. This is a high-ownership role in a small, deeply technical team. What You'll Work On • Designing knowledge models and ontologies that preserve semantic meaning and relationships, • Building hybrid retrieval systems (graph, structured, sparse, dense) with contextual understanding and re-ranking, • Developing information extraction pipelines for noisy enterprise documents, • Managing knowledge quality and evolution (provenance, conflict resolution, schema changes), • Turning research into robust, production grade infrastructure What We're Looking For We're especially interested in candidates with experience in one or more of the following areas: • Graph databases and graph based systems (ideally Neo4j or similar), • Information retrieval systems, including search, ranking and semantic retrieval, • A strong background in IR, NLP, knowledge representation, or a related field, • Experience shipping real systems, not just prototypes or research code, • Careful thinking around how information should be structured to support reasoning, • Comfort working from first principles in an early-stage environment, • A high sense of ownership and responsibility for core systems This Role Is a Good Fit If You… • Care about the architecture of knowledge, not just model performance, • Enjoy building systems that genuinely understand context, not just embeddings, • Want to influence the technical direction of a core platform, • Value intellectual honesty and pragmatic decision making

We are currently recruiting an M365 Engineer, responsible for making Microsoft 365 Copilot and Power Platform safe, supportable and scalable. Role Overview This role will establish platform readiness, policies, environments, and BAU support patterns so delivery teams can ship solutions without creating unmanaged risk. You will work closely with the AI Product Lead to configure and maintain Power Platform environments, policies, and operational standards that support governed delivery. Responsibilities include: • Enable and support a phased Microsoft 365 Copilot rollout aligned to readiness, security boundaries and risk decisions., • Implement and manage technical controls supporting safe usage, including DLP policy configuration and connector governance., • Strengthen SharePoint / M365 configuration readiness that affects safe adoption, including permissions models and external sharing settings where owned., • Establish monitoring, logging, and supporting processes for Copilot and automation solutions, including early life support and BAU transition., • Provide second / third line technical support for Copilot and Power Platform issues, working with suppliers where required., • Partner with Information Security, Cyber and Technology Risk to implement agreed controls and support audit evidence requirements., • Produce clear operational documentation, runbooks, and administration guidance to reduce key-person dependency., • Contribute to benefits capture by defining measurable outcomes for delivered solutions and supporting evidence collection.

Senior Full-Stack JavaScript Engineer / Senior Developer / Staff Engineer (JavaScript) – Thought Leader Node.js / React / Next.js / AWS Serverless London (Hybrid - office based Tues/Weds/Thurs) £90k + Bonus + Excellent Benefits Discretionary bonus (10%), Private Healthcare, 25 Days Holiday, 5% Pension, Life Insurance, 2 Volunteering Days, Season Ticket Loan Build systems that power world-class storytelling This is an opportunity for a senior, product-minded engineer to take a leading role in shaping both technology and engineering culture within a company trusted by some of the world’s most recognisable media brands. With 25 years of industry presence and a team of 140, this organisation values craftsmanship, stability, and long-term thinking over short-term delivery. Their product is central to storytelling in media so reliability, performance, and usability truly matter. The opportunity: This is not just another senior engineering role. You’ll operate as a technical leader and thought partner, contributing to architecture, guiding engineering standards and influencing how systems evolve over time. While you’ll remain hands-on, your impact will extend beyond your own code, shaping decisions, mentoring others and elevating the team. You’ll work across the full stack, owning everything from elegant frontend experiences to robust backend services and infrastructure, with the autonomy to make meaningful technical decisions. What you’ll be doing: • Leading the design and evolution of full-stack architecture across frontend, backend, and serverless systems, • Building high-quality, performant applications using React and Next.js, • Designing and scaling Node.js APIs and distributed backend services, • Driving best practices in code quality, testing, observability and maintainability, • Partnering closely with product, design, and research to shape solutions end-to-end, • Acting as a technical sounding board and mentor within a collaborative team, • Contributing to decisions around tooling, infrastructure, and emerging technologies (including AI-assisted workflows) What success looks like: Within your first 6–12 months, you will have: • Shaped key architecture decisions across the platform, • Delivered scalable, production-grade Node.js services supporting critical workflows, • Shipped polished, high-impact frontend experiences used daily by customers, • Improved system performance, reliability, and scalability in measurable ways, • Elevated engineering standards through thought leadership, mentorship, and best practices Tech environment: • TypeScript / JavaScript, • Node.js (API & backend services), • React, Next.js, • AWS Serverless (Lambda, API Gateway), • Vercel, • SQL Server, • Algolia, • CI/CD (TeamCity) You’ll thrive here if you: • Are a senior or staff-level engineer who enjoys owning problems end-to-end, • Think beyond implementation — you care deeply about architecture, trade-offs, and long-term impact, • Have strong experience building Node.js backends and modern React applications, • Enjoy working as a true full-stack generalist, comfortable across frontend, backend, and infrastructure, • Naturally contribute ideas, challenge thinking constructively, and raise the bar for those around you, • Value collaboration, clarity, and thoughtful engineering over quick fixes What you’ll find: • A mature, craft-led engineering culture, • Real influence over technical direction and product decisions, • A highly collaborative, cross-functional environment, • The space and trust to solve problems properly, • A stable, successful business with meaningful impact in music and media This isn’t about chasing trends or shipping fast at any cost. It’s about building the right things, the right way and having the experience and perspective to lead others in doing the same. If you’re a Senior Full-Stack Engineer ready to step into a broader role, apply now or contact Simon Morris at Ithika Recruitment for a confidential chat. Ithika Recruitment, partnering world-class talent with world-class companies

We are working with a global healthcare and insurance organisation who are making a real difference to people's lives.We require an experienced Senior Data Platform Engineer to join the AI and Data Platform teams.£100,000 + Bonus + Excellent BenefitsFully remote with occasional travel to one of their offices.You will contribute to the design and operation of a scalable, secure enterprise data platform supporting advanced analytics and business intelligence in a healthcare and insurance setting. You'll work with high autonomy, mentor junior engineers, and drive technical excellence while ensuring compliance and performance. This is a key role in shaping a robust, automated data platform that powers better patient care and smarter insurance services.Please note: this is a Platform Engineering role rather than a Data Engineering position.We welcome applications from data engineers who also bring strong platform engineering experience - for example, working with IaC, Terraform, or similar tooling. Role:* Contribute to the design and delivery of robust, automated, and scalable Azure and Snowflake data platform components.* Develop and maintain infrastructure-as-code using Terraform, ensuring consistency and reusability across environments.* Build and optimise CI/CD pipelines using Azure DevOps and GitHub Actions to support rapid, reliable deployments.* Implement observability practices including logging, metrics, and alerting using observability tools.* Collaborate with the Lead Engineer and Architects to align implementation with platform standards and patterns.* Provide technical guidance and mentorship to mid-level engineers, promoting best practices in automation and. monitoringKey Skills / Qualifications needed for this role:* Extensive experience in platform engineering, with a strong emphasis on Azure-based data solutions.* Expert-level knowledge of Azure and/or Snowflake services, including Data Factory, Data Lake, Azure ML, and Power BI/Fabric.* Proven experience with infrastructure-as-code using Terraform and building CI/CD pipelines via Azure DevOps and GitHub Actions.* Strong grasp of observability practices, including logging, metrics, alerting, and performance optimisation.* Deep understanding of cloud security, with experience applying secure-by-design principles in Azure and/or Snowflake (e.g., network isolation, IAM, data protection).* Proficiency in scripting and automation using PowerShell, Bash, or Python.* Collaborative mindset, with a proven track record of working effectively across engineering, data science, and business teams.* Clear communicator, capable of documenting technical designs, contributing to platform standards, and presenting solutions to stakeholders.* Leadership experience, including mentoring junior engineers and fostering a culture of continuous improvement and knowledge sharing - highly desirable.This is majority remote based although you will need to attend the office in either London or Manchester when needed.This company look after their employees and you can expect a large bonus plus some excellent benefits.We are interviewing currently so apply now for immediate consideration for the Senior Data Platform Engineer position or contact Stuart Barnes at ITSS Recruitment for further information.

Python Web Scraping Engineer - Fully Remote - £70k Please note - to be eligible for this role you must be UK-based with the unrestricted right to work in the UK. This organisation does not offer sponsorship. My client is hiring a Senior Python Scraping Engineer to design, build, and operate high-volume, highly resilient web scraping systems, with a specific and sustained focus on scraping Google at scale. This is a specialist role. It is not suited to generalist data engineers who have only worked on light or opportunistic scraping. You will be working in hostile, rapidly changing environments where naïve techniques fail and deep expertise in bot detection and evasion is essential. The role sits at the intersection of data engineering, reverse engineering, and large-scale systems reliability, and plays a critical role in delivering accurate, timely, and trusted data. My client is a leader in adopting AI-assisted and agentic coding practices, and this role is ideal for engineers who actively use AI tools to improve productivity, reasoning, and system design. Key Responsibilities: • Design and operate large-scale scraping systems handling 10+ million requests per day, primarily targeting Google and Google-like platforms, • Build robust scrapers for dynamic, JavaScript-heavy environments using browser automation and hybrid approaches, • Continuously adapt to changes in markup, request flows, ranking logic, and anti-automation mechanisms, • Engineer extraction pipelines with a strong emphasis on correctness, consistency, and observability, • Implement and maintain advancedanti-bot evasion strategies, including:, • Proxy and request routing strategies, • Browser and headless fingerprinting, • CAPTCHA handling and mitigation, • Monitor system health, detect anomalies early, and debug complex production issues, • Optimise performance, cost, and latency across large-scale scraping infrastructure, • Collaborate closely with data engineers, data scientists, and product teams to ensure scraped data is reliable and usable, • Expert-level web scraping skills using Python, • Direct, hands-on experience scraping Google at scale - this is essential, • Deep understanding of:, • Anti-bot and bot-detection systems, • Browser and network fingerprinting, • CAPTCHA systems and mitigation techniques, • Scaling scraping infrastructure reliably, • Strong knowledge of HTTP, TLS, cookies, headers, redirects, and browser networking behaviour, • Experience with tools such as Playwright, Selenium, Puppeteer, or equivalent frameworks, • Comfortable designing asynchronous and concurrent scraping architectures, • Proven experience running scraping systems at scale in cloud environments, • Excellent debugging skills and the ability to reason about complex failure modes Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Are you ready to start a new career in AI Engineering? AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. In today’s digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away. Newto Training can support you at any stage of your career journey whether you’re new to the industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready. Step One: Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications all alongside real-world project work to harness the power and understanding of these technologies. We also provide two digital badges: CompTIA AI Essentials and CompTIA AI Prompting Essentials. Step Two: Study and take your three AI and data certifications: Azure AI Fundamentals, Azure Data Fundamentals, CompTIA Data+ and CompTIA Data AI Step Three: Now that you’re qualified for an entry-level AI or data position paying up to £35,000 per year. Our recruitment support team will begin working with you to help secure a role that suits your new qualifications and any other experience you bring. Course cost - £2295, or, £191.25 per month We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. Click ‘Apply Now’ to begin your new career!

Systems Consultant (3rd Line / Infrastructure) - Hybrid Working - £55,000! Role: Systems Consultant Location: London (Hybrid – 3 days onsite / 2 days remote)Salary: £45,000 - £50,000 (DOE) A highly respected London-based Managed Service Provider is looking for a Systems Consultant / 3rd Line Infrastructure Engineer to join their growing Infrastructure Services team. This role is ideal for an experienced 2nd or 3rd Line Engineer within an MSP who wants to move into a more consultative, customer-facing infrastructure position, working with modern cloud-first and security-led environments. You'll play a key role in supporting and improving client infrastructure while developing deeper expertise across Microsoft cloud, security, and enterprise infrastructure technologies. The Role As a Systems Consultant, you’ll operate as a senior escalation point within the infrastructure team, supporting complex technical environments across multiple clients. You’ll work closely with Service Desk, Professional Services, and Account Management teams to ensure the stability, security, and scalability of client IT environments. This position also offers the opportunity to develop into a technical authority or future infrastructure architect within a fast-growing MSP. Key Responsibilities Act as a 3rd line escalation point for complex infrastructure incidentsTroubleshoot and resolve business-critical technical issues, including root cause analysisSupport and contribute to major incident management and post-incident reviewsDeliver proactive infrastructure improvements, including monitoring, patching, and optimisationProvide technical oversight for changes, upgrades, and infrastructure improvementsContribute to automation, platform standardisation, and service improvementsSupport security posture, backup, business continuity, and disaster recovery solutionsDevelop into a Subject Matter Expert (SME) for key technologies and vendor platformsProvide mentorship and guidance to 1st and 2nd Line engineersMaintain clear technical documentation and communicate effectively with customersOccasional client site visits may be required for workshops, escalations, or technical meetings. Technical Environment You’ll be working across modern cloud and infrastructure technologies, including:Microsoft 365Microsoft Azure (IaaS, identity, networking, security)Windows ServerActive Directory / Entra IDGroup PolicyVirtualisation (VMware / Hyper-V)Advanced networking (VPNs, routing, switching, firewalls)Backup & disaster recovery platformsAutomation & scriptingCyber security technologies and controls Experience Required 2–3+ years in a 2nd / 3rd Line or Infrastructure roleExperience working within an MSP or multi-client IT environmentStrong troubleshooting and root cause analysis skillsComfortable supporting complex infrastructure environmentsExperience across Microsoft cloud and on-prem infrastructure Desirable Skills Microsoft certifications (e.g. Azure Administrator – AZ-104)Experience with Microsoft 365 administration and identity servicesExposure to AWS or Google CloudExperience with RMM and PSA toolsKnowledge of backup platforms (e.g. Veeam, Datto)Exposure to SIEM / SOC toolsUnderstanding of AI tools such as Microsoft 365 CopilotLinux administration experience The client is looking to fill this opportunity immediately, so please apply ASAP or feel free to drop me an email with any questions to owen @ serlimited . com. SER-IN

M365 Engineer Location: London Hybrid Profectus Recruitment are working with a highly successful and growing financial services organisation to recruit an M365 Engineer. This is a fantastic opportunity to play a key role in shaping how Microsoft 365, Copilot, and Power Platform are safely and effectively adopted across the business. You will operate in a delivery and operational enablement role, ensuring platforms are scalable, secure, and fully supportable, enabling teams to innovate without introducing unmanaged risk. The Role • Lead the rollout and adoption of Microsoft 365 Copilot in a controlled, secure manner, • Configure and manage Power Platform environments, policies, and governance, • Implement DLP policies and connector governance to ensure safe usage, • Strengthen SharePoint and M365 configuration, including permissions and sharing controls, • Establish monitoring, logging, and BAU support processes, • Provide 2nd and 3rd line support across M365 and Power Platform, • Work closely with security, risk, and audit teams to implement controls and evidence compliance, • Create clear documentation, runbooks, and operational standards, • Support AI and automation initiatives across the wider programme What We Are Looking For • Strong experience administering Microsoft 365 in a production environment, • Solid understanding of identity, access, and permissions within M365, • Hands-on experience with Power Platform governance, including DLP and connectors, • Experience delivering phased rollouts of new M365 capabilities, • Ability to work closely with security and risk teams in regulated environments, • Proven experience troubleshooting complex M365 or Power Platform issues, • Experience setting up BAU support models and transitioning from project to operations Desirable Experience • Exposure to Microsoft Purview and information protection controls, • Experience with Microsoft 365 Copilot and associated governance, • Understanding of audit, monitoring, and logging within M365, • Experience supporting user adoption and working with training or comms teams Why Join • Work at the forefront of AI and automation within Microsoft 365, • Be part of a forward-thinking, highly regulated environment where your work has real impact, • Collaborate with senior stakeholders across technology, security, and risk, • Opportunity to shape governance and best practice in a growing organisation If you are an experienced M365 Engineer looking to step into a role with real influence across AI, automation, and platform governance, please apply with your latest CV for immediate consideration.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Job Title: Linux Engineer Lead Contract: Initial 6-Month Contract with potential to extend. Location: London - Hybrid (3 days in office) Rate: £450 - £500 inside umbrella About the role: We are establishing a new Linux and container platform capability within EMEA to support modern, resilient, and scalable infrastructure services. This role is critical to the design, build, and operation of that capability. The Linux Engineer lead is a hands-on technical role responsible for the engineering, stability, and operational readiness of enterprise Linux platforms underpinning containerised workloads, with a strong focus on OpenShift. The role will lead by technical expertise, following established engineering standards, ensuring platform resilience, and enabling the safe onboarding of production workloads onto Linux and container platforms. Main duties: • Key engineer for Linux platforms supporting enterprise container workloads, • Technical authority for Linux underpinning OpenShift within EMEA, • Supports platforms designed to host business-critical and production workloads, • Works across Platform Engineering, Automation, Security, and Operations team, • Design, build, and operate enterprise Linux platforms (primarily RHEL) supporting OpenShift and Kubernetes environments, • Act as a technical authority for Linux and container platform engineering within EMEA, • Engineer and maintain OpenShift clusters with a focus on stability, performance, lifecycle management, and upgrade readiness, • Ensure Linux platforms are built and maintained in line with security hardening standards and operational best practice, • Collaborate closely with Automation Engineering to ensure Linux and OpenShift platforms are fully automated using Ansible and GitLab-based workflows, • Provide technical input into platform architecture, capacity planning, and production readiness assessments, • Support the onboarding of production workloads onto OpenShift, ensuring operational, monitoring, and support requirements are met, • Participate in on-call escalation and incident bridges once platforms are hosting production workloads, • Work out of hours and at weekends where required to support platform changes, incidents, or maintenance activities, • Act as a senior escalation point for complex Linux and container-related incidents, • Integrate Linux and OpenShift platforms with enterprise monitoring and logging solutions, including Splunk, • Collaborate with Security teams to ensure platforms meet regulatory, audit, and compliance requirements, • Maintain high-quality documentation, standards, and operational runbooks, • Continuously develop technical skills and maintain deep expertise in Linux and container platform technologies Knowledge and Experience required: • Strong, hands-on experience engineering and operating enterprise Linux platforms (RHEL) * Proven experience administering and supporting OpenShift in production or production-like environments. * Solid understanding of Kubernetes concepts, architecture, and operational models * Experience using Ansible for Linux configuration management and platform automation * Experience working with Git-based workflows, preferably GitLab * Familiarity with enterprise monitoring and logging solutions, including Splunk * Experience operating platforms in regulated, change-controlled environments * Strong understanding of production operations, incident management, and platform resilience We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

About the job Senior Cloud Platform Engineer | London (Hybrid) | Up to £110k | Permanent, Full-Time TrueNorth are working with a growing tech-driven organisation building AI-powered products at scale, and they’re looking for a hands-on Cloud Platform Engineer to help shape the foundations of their platform. This isn’t a pure “keep the lights on” role — it’s about defining how things are built. You’ll be: • Designing cloud-native platform architecture (AWS), • Building reusable Terraform modules and CI/CD pipelines, • Embedding SRE principles across services, • Supporting AI/ML workloads in production (LLMs, inference, pipelines) The environment is fast-moving, with multiple teams and products — so standardisation, scalability, and good engineering judgement really matter here. Tech highlights: • AWS, Terraform, CI/CD, • ECS / container platforms, • API gateways (Kong or similar), • AI/ML workloads + LLM integrations They’re looking for someone who: • Is genuinely hands-on and opinionated about good architecture, • Has worked on shared platforms across multiple teams, • Understands the real-world challenges of running AI workloads Hybrid: 2–3 days in London (non-negotiable) Salary: Up to £110k

Azure Databricks Engineer About the Role We are seeking a Azure Databricks Engineer to join a specialist consultancy focused on transforming enterprises through modern cloud data platforms, advanced analytics and next-generation engineering capabilities. This role requires strong experience working within the Lloyd's of London or wider London Market insurance environment, with the ability to deliver data solutions that meet strict regulatory, audit and operational standards. You will take ownership of designing, building and optimising large-scale Azure data solutions, working closely with business and technical stakeholders to translate complex data challenges into secure, scalable and production-ready platforms. You will help shape cloud data strategy, define engineering best practice and guide delivery across cross-functional teams. Responsibilities • Build and optimise Azure data platforms using ADF, Data Lake, Azure Functions and Databricks, • Deliver reliable, high-quality data pipelines, • Work with stakeholders to ensure solutions meet Lloyd's of London regulatory, audit and data governance requirements, • Work with stakeholders to make sure solutions meet regulatory requirements., • Promote best practices in engineering, automation and cloud design., • Lead and mentor engineers, setting technical standards., • Extensive engineering experience across Azure Data Services and Databricks in enterprise environments., • Proven delivery experience within the Lloyd's of London or London Market insurance sector, • Deep understanding of Delta Lake, Medallion architecture, Lakehouse patterns and data modelling., • Strong Python, PySpark and Spark SQL capability, • Solid understanding of data governance, • Salary of up to £95,000, • Performance related bonus scheme, • Hybrid working - Up to 3 days working from home Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK, offering more opportunities nationwide than any other recruitment agency. We are proud sponsors of SQLBits, Power Platform World Tour and the London Fabric User Group.

Robert Walters is partnering with a leading UK financial services organisation on a high-impact Senior Data Scientist opportunity within a growing AI and Data Science function. The role will focus on building, deploying and improving productionised machine learning and GenAI products across customer-facing and operational use cases. This is not a purely research-focused position. The business needs someone who can take models and AI solutions through to live production environments. Key responsibilities • Build, deploy and optimise machine learning and GenAI solutions, • Own data science products across the full lifecycle, from concept through to production, • Work closely with product, engineering and business stakeholders, • Support multiple AI initiatives across health, life and operational use cases, • Improve model performance, reliability and commercial impact, • Help shape best practice as the team continues to growKey requirements, • Strong Python and SQL experience, • Proven experience deploying models into production, • Experience working closely with engineering and product teams, • Exposure to GenAI, LLMs or AI-enabled applications, • Strong understanding of model lifecycle, deployment and monitoring For a confidential discussion, please apply or contact Robert Walters. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

Mid-level Python Django Developer Permanent | Hybrid (London or Sheffield) This is a chance to join a Series B funded fintech scale-up building a product that’s already used by thousands of businesses across the UK and Europe. They’ve built something that works, scaled it, and are now investing heavily in the next phase. The product The platform sits at the intersection of payments, data, and real-world transactions, helping businesses manage and optimise how customers pay and how performance is tracked. There’s a strong focus on: • Real-time data, • Scalable backend systems You’ll join a growing backend team working on: • Core APIs and backend services, • Data-heavy features and integrations, • Contribute ideas, • Own features end-to-end, • Solid commercial experience with Python, • Strong hands-on Django experience, • Experience building APIs and working with SQL, • Series B scale-up with real traction, • Product already used at scale, not a greenfield gamble, • Backend work that actually matters to the business, • Hybrid working with offices in London and Sheffield

Currently working on the build-out of a new engineering team focused on developing an in-house platform within a critical financial services domain. This initiative is centred around bringing a traditionally vendor-led capability internally, with a focus on building a scalable, flexible, and fully automated system from the ground up. The environment is highly regulated and production-critical, requiring strong engineering standards and end-to-end ownership. You will be part of a small, senior engineering team responsible for designing and building distributed systems that handle high volumes of data and transactions. The role is hands-on, with a strong focus on system design, development, and production reliability. Key responsibilities include: • Designing and building scalable, distributed systems using modern architectural patterns, • Owning the full software development lifecycle from requirements through to production and support, • Developing and maintaining microservices and APIs, • Ensuring systems are reliable, observable, and secure, • Driving engineering best practices across testing, automation, and performance, • Working closely with product and engineering stakeholders to deliver robust solutionsTechnology Environment, • Java and Spring Boot (low-latency), • Distributed systems and microservices architecture, • AI Skills mandatory, • Angular or TypeScript (full-stack capability beneficial), • Cloud and containerisation technologies, • CI/CD, automated testing, and observability toolingRequirements, • Strong experience in Java and backend development, • Experience building and scaling distributed systems in production environments, • Solid understanding of software architecture and system design, • Experience working in financial services or other regulated environments, • Exposure to the full software development lifecycle

About The Role FDM is a global business and technology consultancy seeking a Senior Software Engineer to work for our client within the defence and national security technology sector. This is initially a 12-month contract with very good prospects to extend and will be a hybrid role based in London with a requirement to attend the office at least one day per week and with up to two days’ notice when required. Our client is a UK based technology company delivering secure unified communications and information sharing platforms for national security and defence users. The role will support development across their existing secure communications platform as well as a new AI enabled decision support product. This is a senior position suited to an engineer who can work with a high degree of autonomy, contribute to technical direction and support less experienced engineers within a small, highly capable team operating in a secure environment. Responsibilities: • Designing, developing and maintaining features across secure communications and decision support platforms, • Building and maintaining backend services using C# and related technologies, • Developing and enhancing user interfaces using React, • Contributing to security focused system design when working with highly sensitive data, • Taking ownership of work items, collaborating closely with engineers, product specialists and stakeholders and, at senior level, contributing to mentoring and technical discussionsAbout You, • Strong commercial experience in backend development using C# and the .NET ecosystem, • Frontend development experience using React or a similar modern JavaScript framework, • Solid understanding of software engineering fundamentals and agile delivery practices, • Experience working in live production environments, ideally within regulated, government or secure systems, • Eligibility for BPSS clearance and preferably SC clearance or willingness to undergo SC clearance, • Minimum of 5 years’ experience in a software engineering role About Us FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK ‘Best Employer’. Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws. Why join us • Career coaching, mentoring and access to upskilling throughout your entire FDM career, • Assignments with global companies and opportunities to work abroad, • Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field, • Annual leave and work-place pension

Role: Senior Software EngineerLocation: London Area, United Kingdom (Hybrid)Employment Type: Full-timeSeniority: Senior LevelSalary: £85,000 + Bonus Are you a highly experienced Software Engineer ready to take ownership of complex systems and drive engineering excellence in a fast-paced environment? We're looking for a Senior Software Engineer to play a key role in designing and delivering scalable, high-quality software solutions. You'll operate at the heart of engineering-leading technical decisions, mentoring team members, and shaping architecture across modern, cloud-based platforms. This is an opportunity to act as a technical leader: influencing design, championing best practices, and building robust, secure, and maintainable systems while working in a collaborative, high-performing team. What You'll Do Design, build, and maintain scalable full-stack applications using modern technologies Lead architectural design and implementation of complex software solutions Drive best practices across software engineering, including clean code, testing, and security Mentor and support engineers through code reviews, coaching, and knowledge sharing Lead and contribute to Agile ceremonies, ensuring effective delivery and continuous improvement Collaborate cross-functionally with Product, Design, and QA to deliver high-value solutions Design and optimise CI/CD pipelines to enable efficient, reliable software delivery Build and maintain RESTful APIs and distributed systems with a focus on scalability and performance Own complex technical challenges, from design through to production support and optimisation Promote a culture of continuous learning, innovation, and engineering excellence Required Experience Proven experience as a Senior Software Engineer working on scalable, production-grade systems Strong full-stack development experience (TypeScript/React and C#/.NET or similar) Deep understanding of software design principles, patterns, and architecture Experience building and evolving APIs, microservices, and distributed systems Hands-on experience with cloud platforms (Azure preferred, AWS/GCP also considered) Experience with containerisation tools such as Docker and Kubernetes Strong knowledge of CI/CD pipelines, automated testing, and Infrastructure as Code Solid understanding of relational and NoSQL database design Experience working in Agile environments with a focus on delivery and collaboration Proven ability to mentor engineers and influence technical direction What Sets You Apart A proactive, ownership-driven mindset with strong problem-solving ability Passion for high-quality engineering, clean architecture, and continuous improvement Strong communication skills across technical and non-technical stakeholders Experience driving engineering standards and influencing best practices Ability to thrive in a fast-paced, high-impact environment Interest in leveraging modern tools, including AI-assisted development Why Join You'll be part of a fast-paced, high-performing environment where engineering excellence is at the core of everything. You'll work on impactful systems, solve complex challenges at scale, and play a key role in shaping the technical direction of the organisation. With a strong culture of collaboration, learning, and innovation, this is a place where you can grow your influence, elevate your craft, and do some of the most meaningful work of your career. If you're a senior engineer who thrives on ownership, mentorship, and building high-quality software, get in touch for a confidential conversation. 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.