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Senior Data Engineer Hybrid (3 Days Per Week) - London Up to £80,000 + Benefits We're partnering with one of the most exciting InsurTech scale-ups in the market - a company transforming how brokers and insurers exchange risk, already processing over $150m in premium and targeting $1B by 2027. They're looking for a Senior Data Engineer (3-5 years' experience) to help scale their modern data platform as they continue rapid growth. What you'll do: * Build and maintain scalable, automated, reliable data pipelines across a modern cloud stack * Extend and improve a cutting-edge Data & Analytics Platform supporting mission-critical insurance products * Implement data quality checks, observability metrics and troubleshooting processes * Manage cloud resources via Infrastructure-as-Code * Ensure strong data security, access control, and governance * Work closely with commercial, analytics and engineering teams to deliver high-quality data products What you'll bring: * 3-5 years' experience as a Data Engineer * Strong SQL and Python skills * Proven experience building modern ETL/ELT pipelines (dbt experience ideal) * Experience with data orchestration tools (Prefect preferred) * Understanding of data modelling, especially event-driven architectures * Knowledge of modern data engineering development practices Nice to have: * Background in InsurTech/FinTech or regulated industries * Experience with Docker, containerisation, and IaC tools * Exposure to cloud-native data environments Why join? * Work at the forefront of a market undergoing a "Big Bang" digital transformation * Join a smart, curious, collaborative team backed by deep insurance and technology expertise * Build systems that will scale to handle millions of dollars of real-world insurance risk * Huge growth opportunity as the company scales rapidly

Lead / Principal Data Scientist x2/3 days a week in the office About the Role & Company This is a leadership opportunity at a fast-scaling AI consultancy known for its technical excellence and track record in delivering real-world impact across some of the most important companies globally. The team helps major clients in the Retail sector apply cutting-edge data science in complex operational environments, balancing innovation with reliability and rigour. You’ll join a deeply technical, collaborative group working on custom AI and machine learning solutions that support automation, forecasting, and decision intelligence. The focus is on strategic value creation: solving ambiguous problems with clarity, and delivering tools that embed into the heart of client systems. What You’ll Be Doing • Set the technical direction on multi-disciplinary data science & AI projects, from approach selection to architecture design, • Take ownership of full solution pipelines, leading hands-on development and supporting others to do the same, • Work closely with senior client stakeholders to shape project scope, track value delivery, and communicate findings, • Oversee a small team of data scientists on each project, supporting mentorship, quality control, and technical review, • Collaborate with commercial and delivery teams to shape proposals and ensure feasibility of engagements, • Contribute to internal capability-building by sharing knowledge, tools, and best practices within the wider team What They’re Looking For • You’ve led the delivery of applied machine learning projects, ideally across commercial or regulated sectors, • Strong Python skills and comfort using core libraries (e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch, • Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM / GenAI based projects., • Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines, • Confident in managing small technical teams, reviewing work, and setting standards for robustness and clarity, • Experience with stakeholder engagement and translating outputs for non-technical audiences If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via (feel free to include a CV for review).

Attribution Search is partnered with a leading global systematic hedge fund to hire a Production Systems Engineer into its London technology team. The firm is known for its research-driven culture, industry-leading technology platform, and long track record of delivering stable, uncorrelated performance. With offices across the US, Europe and Asia, this is an opportunity to join a highly respected engineering function that underpins a mission-critical quantitative trading environment. The Role You will join the Production Systems Group, responsible for the reliability, resilience, automation and observability of real-time trading systems. This is not a traditional support role, you will write code, design tooling, contribute to system architecture, and play a key part in the fund’s global follow-the-sun engineering model. The ideal candidate combines strong systems engineering fundamentals with excellent debugging skills, an automation-first mindset, and the ability to operate calmly under pressure. Key Responsibilities • Build and maintain automated tooling for system deployments, monitoring, alerting and operational workflows., • Monitor the health of distributed trading systems with a focus on proactive failure prevention., • Own and improve incident response, root cause analysis and blameless post-mortems., • Work closely with developers to design scalable, testable and reliable deployment pipelines., • Partner with trading, quant and operations teams, as well as external vendors, to troubleshoot and optimise the production environment. Experience Required • 3+ years supporting trading systems within a hedge fund or buyside firm., • Deep experience working across Linux systems, including performance, networking and security debugging., • Strong Python (OO) and Bash scripting capabilities., • Proven background in observability, monitoring, incident response and improving operational resilience., • Breadth across infrastructure technologies (operating systems, databases, scripting languages, CI/CD, and configuration management). Technology Environment • Languages: Python (core requirement), Bash; T-SQL desirable., • Operating Systems: Strong Linux fundamentals; some Windows exposure beneficial., • Automation / CI/CD: GitHub, TeamCity, Ansible; Terraform and Kubernetes highly advantageous., • Monitoring & Observability: Datadog, Grafana, and modern log/metrics pipelines., • Cloud: Experience with AWS or hybrid cloud environments desirable (HPC, batch compute, container orchestration)., • Databases: MS SQL Server; Snowflake experience a plus. This is a chance to join a world-class systematic trading firm, contribute directly to the reliability and evolution of its production platform, and work alongside exceptional technologists in a high-impact, engineering-led environment. Candidates with relevant experience are encouraged to apply to learn more.

Lead Software Engineer (Python/ Full Stack) | Financial Services Location : London (Hybdrid) Salary : Up to £130,000 + Equity + Private Health Python | Front End (React/ Typescript| Distributed Systems | API Architecture | Cloud | Microservices I’m currently looking for: Lead Software Engineer (Python, APIs, React, Typescript) Our client builds high-scale, high-performance platforms used by millions of customers every day powering intelligent digital experiences, real-time services, and seamless integrations for some of the UK’s most recognisable financial services brands. They’re a product-led engineering organisation with a deep focus on craft, simplicity, and technical excellence. With massive data volumes, complex system interactions, and an engineering culture that ships fast, this is an environment built for people who love solving hard problems at scale. If you want to lead architecture, shape platform direction, and build world-class back-end systems that power mission-critical products, this is the one. ROLE: Lead Software Engineer (Software Engineering, Technical Leadership, Mentoring, Architecture Ownership) We’re seeking Lead Back End Engineers who can drive backend strategy, guide technical decisions, and elevate engineering standards across key product areas. This is a senior engineering role - ideal for someone who wants ownership, architectural influence, and the chance to build systems that scale to millions of users. You’ll define technical vision, lead critical backend projects, and act as a trusted engineering voice in product and platform discussions - shaping everything from API design and system architecture to performance, resilience, and scalability. What You’ll Bring 🔥 Expert-level Python & Front End engineering skills — clean, scalable, production-grade code ⚙️ Strong experience building and designing APIs (REST, GraphQL, or gRPC) 🔧 Hands-on architectural depth — Microservices, distributed systems, event-driven patterns ☁️ Cloud expertise (AWS preferred) — Lambda, ECS, DynamoDB, SQS, SNS, API Gateway 🚀 Proven track record delivering high-scale backend systems 📈 Experience leading engineers — mentoring, technical direction, code standards 🗣️ Excellent communicator with the ability to influence product and technical strategy 🤓 Passion for robust engineering — testing, observability, optimisation, performance Apply now and take a lead role building the foundations of one of the UK’s most ambitious consumer platforms.

Senior Full Stack Engineer | Payments & Checkouts | Node.js | React.js | Remote Europe | Up to £100K Maze has been retained by one of Europe's fastest-growing platforms in the creator economy space to hire a Senior Full Stack Engineer for the Payments & Checkouts team. Financial systems are core to their product, and this role will help shape the scalable checkout and payout infrastructure that supports millions of global transactions. Key Responsibilities • Design and build scalable financial systems, including global checkout and payout flows., • Develop financial tooling such as fraud checks, reconciliation tools, reporting dashboards, and internal admin features., • Integrate and optimise third-party payment providers and alternative payment methods., • Improve developer experience, ensuring financial systems are resilient, testable, and maintainable., • Work cross-functionally with product, design, compliance, and operations to align technical work with business priorities., • Deliver reliable, high-quality systems quickly in a fast-scaling environment. Key Requirements • Strong engineering experience with TypeScript, Node.js, React, and Postgres., • Proven experience building or scaling high-volume payment and payout systems., • Ability to design complex, fault-tolerant financial architectures., • Hands-on senior engineer who enjoys solving deep technical problems., • Excellent communication and stakeholder management., • Ability to move fast while maintaining quality, security, and compliance., • Background in creator economy or fintech. Why Join? • Shape the core financial infrastructure of a rapidly scaling global platform., • Work on high-impact systems that directly influence revenue, trust, and conversion., • Competitive salary, equity, and benefits., • Mission-driven, high-ownership culture with fast execution and transparency., • Flexible working, strong wellbeing support, and recognition as a top workplace. Location: Remote within Europe - quarterly team meetings in London. This role does not provide sponsorship and you must be legally authorised to work in the country you currently reside in. If you match these requirements, please apply within!

Cyber Security Contractor | Outside IR35 Contract • Rate: £500, • Hybrid: 3 days per week onsite (Liverpool Street), • Industry: Financial Services / Highly regulated environment, • Duration: Initial 3 months Job Summary: Our client, financial services sector, is seeking a highly skilled Cyber Security Specialist to deliver hands-on security improvements with a deep technical expertise across modern security platforms, including Netskope, CrowdStrike, Microsoft Purview, and Mimecast. They’ve already built out a solid security stack and are planning to implement CyberArk for IAM/PAM, with a lot of audits going on. They’re looking for someone to help tighten and improve the security controls. Key must-have experience includes supporting Cyber Essentials Plus recertification, helping implement IAM/PAM, and reviewing and strengthening Purview DLP. The ideal candidate will have demonstrable experience in regulated industries and a track record of delivering practical security solutions with minimal supervision. Key Requirements: • Implement and optimise Netskope Layer 7 security policies while identifying and resolving configuration gaps, • Provide security expertise during the migration from AirWatch to Microsoft Intune, • Support the organisation's Cyber Essentials Plus recertification process and related compliance work, • Enhance Microsoft Purview configurations, including DLP controls and data classification frameworks, • Deliver security monitoring support and participate in incident response activities when required, • Develop a centralised Trust Centre and standardised documentation for vendor security assessments Qualifications and Requirements: • Technical expertise with Mimecast, Netskope, CrowdStrike, CyberArk, and Microsoft Purview platforms, • Must-have experience supporting or implementing Cyber Essentials Plus certification programs, • Strong experience assisting with CyberArk implementation, • Extensive working with Purview DLP enhancement, • In-depth understanding of security architectures within Microsoft 365/Azure ecosystems and E5 environments, • Professional experience within regulated sectors, particularly financial services industries, • Self-sufficient working style with the capability to manage deliverables autonomously and apply practical security approaches, • Effective communication skills for collaboration across technical and business-focused audiences To be considered, please ensure you complete your application on the Computappoint website. Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy

Senior AI Engineer (Agentic & Retrieval Systems) Location: Flexible / Hybrid Level: Senior–Principal Type: Full-time A fast-growing, AI-native firm is expanding its engineering capability to deliver agentic, retrieval, and knowledge-driven AI systems for enterprise clients. They are hiring a Senior AI Engineer — a hands-on builder who combines deep AI engineering with product thinking to turn messy business problems into reliable, production-grade AI systems. You’ll work in small senior teams, directly with clients, shaping solutions from first principles through deployment. What You’ll Do Build & Own AI Systems • Design and ship LLM applications using modern orchestration, prompt frameworks, and evaluation loops, • Build multi-agent systems (planning, tool use, safety constraints, monitoring), • Implement retrieval and vector-based architectures (RAG, embeddings, semantic workflows), • Apply ontology and knowledge-modelling concepts for more precise reasoning, • Integrate APIs, tools, and enterprise systems, • Set the technical direction for your delivery pod Shape Solutions Early • Translate ambiguous business problems into clear technical approaches, • Run feasibility checks across data, systems, and architecture, • Work directly with domain experts to surface edge cases, • Produce clear diagrams and lightweight technical documentation Ensure Reliability & Trust • Implement evaluation, observability, and safety checks, • Support production deployment, environments, and release cycles, • Apply governance, risk, and compliance principles, • Ensure systems are maintainable, measurable, and reliable Build Reusable Capability • Create accelerators, agent patterns, and technical templates, • Share research, tools, and emerging AI engineering practices, • Influence internal standards and architectures Experience Needed • 6–8+ years in software, AI, or applied data engineering, • Strong hands-on experience with LLMs, RAG, vector stores, and embeddings, • Experience building or orchestrating multi-agent systems, • Strong Python skills and ability to ship production-grade code, • Experience with at least one major AI cloud ecosystem (AWS, Azure/OpenAI, GCP, Anthropic, etc.), • Literacy in semantic modelling or ontology-driven thinking, • Comfortable in client-facing, delivery-focused environments You’re Likely Someone Who Is: • AI-native and deeply hands-on, • High-agency, self-directed, and outcome-focused, • Comfortable operating under ambiguity, • A fast builder who cares about quality and safety, • Clear, pragmatic communicator with low ego Why This Role • Real ownership of AI systems in production, • Deep focus on agentic systems, retrieval, and semantic layers, • Senior teammates, fast cycles, minimal bureaucracy, • Opportunity to shape engineering direction from an early stage If this is of interest, please apply or share your CV with

Data Analyst – Global Fintech Leader (Contract) Location: London (Hybrid – 3 days in office, 2 days from home) Rate: Up to £345 per day (umbrella) Duration: 9-month contract (current end date: September 2026) About the Role We’re partnering with a global fintech leader to hire a Data Analyst within their Customer Success Data Science team, driving data capabilities and insights across international markets. This is a fantastic opportunity for an experienced data professional who thrives in dynamic environments, enjoys problem-solving, and wants to make a tangible impact on how customer success is measured and delivered across multiple regions. Key Responsibilities • Build robust data foundations – Work with engineering teams to improve data integrity, pipelines, and governance across international markets., • Develop actionable dashboards – Create scalable, user-friendly dashboards that deliver real-time insights on key performance metrics (tNPS, Issue Resolution, AHT, etc.)., • Deliver deep-dive analytics – Conduct root-cause analysis to identify pain points and drive operational improvements., • Support experimentation – Analyse A/B test outcomes to optimize customer and digital experiences., • Influence through storytelling – Translate data insights into compelling narratives that drive strategic decisions across business units. What We’re Looking For • 8+ years’ experience in Data Analytics or Data Science (ideally within Customer Success, Operations, or Digital Experience)., • Strong SQL skills for data extraction, transformation, and pipeline development., • Proficiency in Tableau, Qlik, or similar visualization tools., • Experience with big data tools (Snowflake, Databricks, Spark) and ETL processes., • Exposure to Python or R for automation, experimentation, or analytics., • Excellent communication and storytelling skills with both technical and non-technical audiences., • Proactive, growth-oriented mindset and comfort working across multiple projects in a fast-paced, global environment. Education • Bachelor’s degree in a data-related field (or equivalent experience). If you’re looking for a challenging and rewarding contract opportunity with a global fintech leader, where your work directly shapes customer success and digital experience, apply today!

Job Title: Solution Architect – Platform Migration Location: London however would consider Birmingham. Contract Type: Permanent Start Date: ASAP About the Role We are seeking an experienced Solution Architect to play a key role in EML Payments’ large‑scale platform migration programme. This role focuses on the consolidation of multiple payment and card-processing platforms into a new unified ecosystem. The successful candidate will possess strong experience in card processing, large-scale platform migrations, data transformation/ETL pipelines, and cross-functional stakeholder collaboration. Operating across engineering, product, operations, compliance, and partner ecosystems, you will define and govern solution architecture that ensures secure, compliant, resilient, and high-performing outcomes. Key Responsibilities • Lead solution architecture for the migration and consolidation of regional card-processing and payments platforms into a modern, unified global environment., • Architect large-scale data migration and ETL processes, including data mapping, transformation logic, orchestration, validation, lineage, and technical implementation., • Collaborate with cross-functional teams to translate complex business requirements into data models and data flow diagrams, sequence diagrams, migration runbooks, integration specifications, and integration patterns., • Provide hands-on technical guidance to engineering teams during solution buildout, ensuring alignment to architectural standards., • Work closley with compliance teams to ensure migration architectural designs meet regulatory obligations (PCI/DSS, PSD2, AML, GDPR, Electronic Money)., • Champion security-by-design principles across all components, with particular focus on card data handling, encryption, tokenisation, and access controls., • Facilitate technical workshops and architectural design reviews with internal teams and external partners. Key Skills & Experience 3+ years as a Solution Architect within fintech, payments, card issuing/acquiring, or financial services preferred. • Experienced in large-scale platform, system and data migrations., • Hands-on expertise in designing ETL and data integration pipelines (e.g., using Python, SQL-based orchestration, cloud-native ETL tools, messaging-based ingestion)., • Deep understanding of data engineering concepts, with hands-on experience in SQL Server, MongoDB, Synapse, Fabric, and Snowflake., • Familiarity with card-processing systems, scheme integrations, authorisation flows, transaction life cycles, and settlement processes; knowledge of cryptographic key migrations like EMV and PEK is advantageous., • Experience with architecting microservices, REST APIs, event-driven architectures, cloud services (Azure), and secure integration patterns., • Exceptional communication and collaboration skills, capable of working with senior stakeholders, external partners, and technical teams., • Ability to balance strategic thinking with hands-on technical problem solving. Preferred Qualifications • TOGAF, BCS, or equivalent architectural accreditation., • Experience migrating card programmes, card data, or payment processing engines. Other • If London based, able to work from the London office (City) at least one day per week. Why Join? This position is integral to EML Payments’ objective of developing a unified global payments and card-processing platform. The successful candidate will be responsible for designing essential migration architecture spanning data, payments, and card processing, collaborating closely with both technology and business leaders. This role offers an exceptional opportunity to contribute to a global transformation program. What you will be offered If you love what you do, you should love where you do it. We appreciate that everyone’s different and has their own preferences of where and how to work. We genuinely believe in the power of regular face-to-face interactions in building close connections with our teams, but we also strongly believe people can work effectively remotely. This means that combining both is the key to success. • 25 days annual leave plus 2 days for volunteering, plus your birthday off - Plus an additional Take5 days should you use all of your 25 days!, • Global business landscape that connects you with colleagues working throughout Australia, UK, North America and Europe with both short-term and long-term secondment options., • Hybrid working - Be empowered to work smarter, in a way that suits your lifestyle, • Company Enhanced Family Leave Options*, • 12 weeks paid New Parent Leave*, • Paid Professional Memberships, • Pension Scheme*, • Short term bonus scheme*, • Company Private Medical Insurance Scheme, • Long term illness cover – 75% of your basic Annual Salary, • Life Assurance (Death in Service) Cover – 4x your basic Annual Salary, • Employee Assistance Programme – accessible 24/7, • Benefits Hub – get discount vouchers for your favourite retailers (*some benefits are subject to qualifying criteria)

Market Data Development Team Lead – Oil Trading / Data Management Systems London We’re seeking an experienced Market Data Development Team Lead to head up a talented group of developers responsible for delivering reliable, accurate, and high-performance market data solutions. This is a key leadership role supporting the Oil Trading Division within a global commodities business, ensuring the robustness of market data consumption, transformation, and distribution. Reporting to the Head of Market Data, you’ll lead the development of the firm’s Data Management System (DMS) — a critical platform supporting trading, risk, and analytics teams. You’ll guide your team through complex curve development, standardise data integration processes, and ensure market data accuracy across multiple systems and vendors. Key Responsibilities: • Lead and mentor a team of market data developers, fostering collaboration and high performance., • Own end-to-end delivery of market data solutions — from requirements gathering to build, testing, and deployment., • Act as Subject Matter Expert (SME) on commodities and oil market data, curves, and pricing structures., • Design, enhance, and maintain data parsers and ETL/ELT workflows to ensure standardised, testable, and scalable data delivery., • Develop and manage complex oil market curves to support pricing and risk management., • Liaise with internal stakeholders, exchanges, PRAs, and data vendors to ensure seamless data flow and integration., • Provide second-line support for daily data parsing, computation, and delivery processes., • Champion coding standards, automation, and best practices in an Agile data development environment. Skills & Experience: • Proven experience leading market data or data engineering teams within commodities or financial trading environments., • Deep understanding of market data onboarding, processing, and distribution from multiple data sources (files, APIs, web scraping)., • Strong background in ETL/ELT pipelines, data warehousing, and data management best practices., • Proficiency with data processing frameworks, automation, and deployment workflows., • Hands-on experience in developing data services and applications that automate business processes., • Familiarity with Zema, containerisation (Docker), and continuous deployment tools is highly advantageous., • Committed to data quality, reliability, and governance standards. Why Join: This is a unique opportunity to lead the evolution of market data technology within a fast-paced global oil trading business. You’ll shape data strategy, drive automation and innovation, and play a pivotal role in enabling smarter, faster trading decisions.

Director of Product Strategy & Portfolio 6 Month Contract Location: Home / London Rate: £900 - £1000 per day (Inside IR35) We are looking to recruit a Director of Product Strategy & Portfolio for a leading software company on an initial 6 month contract. This is a senior strategic role responsible for defining enterprise-wide product vision, aligning product portfolios, and ensuring investment decisions deliver measurable customer and commercial outcomes. Working closely with Product Directors, Engineering, and Go-To-Market leadership, you'll build the strategic frameworks that guide how products evolve, innovate, and succeed across multiple markets. Key Responsibilities • Define and communicate long-term product vision and enterprise product strategy, • Establish a unified strategic framework that aligns product direction across portfolios, • Lead strategic roadmap planning and guide prioritisation with Product Directors, • Drive market, customer, and competitive analysis to inform investment decisions, • Act as a strategic advisor to senior leadership on product positioning and long-term planning, • Build strong relationships across product, engineering, and commercial teams, • Develop business cases for major initiatives, including ROI modelling and market sizing, • Lead portfolio governance, prioritisation, and lifecycle management, • Champion data-driven decision-making and customer-centric product strategy, • Provide leadership, development, and direction to senior product managers and directors Essential Experience • Deep expertise in product strategy, product portfolio management, and market analysis, • Strong financial and commercial literacy, including P&L and ROI modelling, • Proven ability to create clarity across complex, multi-product environments, • Excellent communication skills with the ability to influence senior stakeholders, • Experience operating in enterprise software, public sector, or multi-market technology environments Desirable • Experience shaping strategy across multiple product lines, • Background in modern product management and agile delivery principles, • Knowledge of public sector technology, policy trends, or international markets

Location: Wimbledon, Southwest London Salary: £32,000–£50,000 base + uncapped commission (up to 30%) Hybrid Working: 4 days in-office, 1 day remote If you’re an experienced recruiter who thrives in consultative, relationship-driven sales and wants to build your career in a market that’s growing faster than ever, Harnham’s Permanent Division could be your next step. We’re specialists in Data & Analytics recruitment, working with some of the most advanced and data-driven companies in the UK and Europe. From Data Science and Engineering to Analytics, Insight, and AI, our teams connect exceptional professionals with the organisations shaping the future. What You’ll Be Doing • Running a 360 desk, owning client relationships and managing candidates end-to-end., • Building your own portfolio within areas such as Data Science, BI, and Marketing Analytics., • Developing new business opportunities and strengthening existing accounts., • Consulting with clients to deliver on their hiring strategies and long-term goals. Who We’re Looking For We’re open to recruiters from any market who have: • Proven experience in permanent recruitment., • A structured, consistent approach to BD and delivery., • The ability to build deep relationships and think commercially. Why Join Harnham • Established Brand: A 15+ year reputation as the leading name in Data & Analytics recruitment., • Career Pathways: Whether you’re aiming for top biller or leadership, we’ll help you get there., • Training & Mentorship: Personalised coaching and ongoing development from senior leaders., • Rewards & Incentives: Uncapped commission, Super Lunch Club, team socials, wellbeing benefits, and more. Ready to take your recruitment career further? Apply now or reach out for a confidential conversation.

Job Title: Technical Architect – Integration & Platforms Location: London Reports to: Head of Technology Salary: £120K + Benefits + Bonus Role Summary We are partnering with a data-first specialty insurance business seeking a Technical Architect with deep expertise in integration and platform architecture to shape the design and governance of our enterprise ecosystem. Key Responsibilities Integration Architecture • Define enterprise integration strategy: API design, messaging patterns, EDA, ETL/ELT processes., • Lead API design, documentation, and governance—RESTful, OpenAPI-compliant, high-performance interfaces., • Collaborate with Data Architects/Engineers to operationalize AI models (Gen AI, Agentic AI, LLMs)., • Advise on technology selection, platform implementation, and adherence to architecture standards., • Drive .NET and Angular stack evolution focusing on modularity, microservices, and performance., • Translate business strategy into phased architecture roadmaps., • Conduct architectural/code reviews, provide technical leadership, and mentor engineers., • Present recommendations and trade-offs to technical and non-technical stakeholders. What We’re Looking For Essential: • 10+ years in senior technical roles; 5+ as an Architect in software, integration, and technical architecture., • Expert in APIs, message queues (Azure Service Bus, Kafka), and Event-Driven Architecture., • RESTful API design, API Gateway management, and OpenAPI mastery., • Strong DevOps experience with CI/CD (Azure DevOps, GitLab CI)., • Extensive Azure knowledge (Databricks, Data Factory, ADLS Gen2)., • Experience in (Re)Insurance or Financial Services., • Expertise in .NET/C# and front-end architecture (Angular)., • Knowledge of relational, NoSQL, and data lake architectures., • Experience with LLMs, Generative AI, and Agentic AI in cloud environments., • Integration of proprietary systems with COTS financial/ERP solutions. Sound Good? Apply Now!

Actimize Technology Lead London | Up to £80,000 | Hybrid (3 days onsite, Central London) A global banking group is seeking an AVP-level Actimize AML Technology Lead to join its Financial Crime technology function. This is a techno-functional leadership role for a candidate who combines strong hands-on engineering capability with a solid understanding of AML operations and regulatory requirements. Actimize is the core AML platform, and you will take ownership of the end-to-end architecture and delivery of multiple AML initiatives, working closely with Compliance, Infrastructure, and wider Technology teams. About the Role This role sits at the intersection of technology and business. You will be responsible for designing the full solution architecture, leading delivery across three concurrent AML projects, and ensuring solutions meet both technical and regulatory expectations. This role requires a strong technical background with deep understanding of Python- and SQL-based AML systems, as well as the ability to guide teams, review designs, and challenge technical decisions. You will also engage heavily with business and AML stakeholders to translate screening and monitoring requirements into scalable technical solutions. Key Responsibilities • Act as technical and functional lead for Actimize-based AML initiatives, with end-to-end ownership from design through delivery., • Design and own the full architecture across AML screening, data ingestion, integrations, and downstream systems., • Lead and oversee delivery of three parallel AML projects, managing technical dependencies and delivery outcomes., • Provide technical leadership across Python- and SQL-heavy implementations, setting standards and reviewing solution designs., • Ensure AML screening logic, data models, and workflows align with regulatory and business requirements., • Work closely with Infrastructure, Network, and Server teams to ensure environments support AML workloads, performance, and resilience., • Oversee integration patterns, APIs, and batch/real-time processing across the AML ecosystem., • Act as a bridge between AML business users, Compliance, and Engineering teams, translating requirements into technical solutions., • Support and evolve the bank’s Actimize AML platform as the primary screening and monitoring system. Required Skills & Experience • Strong technology background with proven experience in a techno-functional AML role., • Hands-on experience with Actimize as the primary AML screening and/or transaction monitoring platform., • Strong proficiency in Python and SQL., • Solid understanding of AML screening concepts, workflows, and regulatory expectations., • Experience designing end-to-end system architecture in complex financial environments., • Good working knowledge of infrastructure components, including servers, networks, and environments., • Experience owning and delivering multiple projects simultaneously, end to end., • Comfortable engaging with both technical teams and business stakeholders.

Role: Senior Full-Stack Engineer Industry: B2B SaaS Company Size: Under 150 Funding: Series A Salary: £90,000 - £110,000 basic Bonus: £10,000 Wedo has partnered with a B2B SaaS bases Series A start-up who’s built an AI KYC product which is impacting millions of people on a global scale. We’re looking for a Senior Full Stack Developer which is front end leaning and an expert in React. We need engineers who can do more than write clean code. We’re looking for people who think, communicate, collaborate, and grow themselves and others around them. We need Engineers who can push product forward without drama, navigate ambiguity and are energised by being part of a high-trust, high-ownership engineering culture. This isn’t a role for feature-deliverers. It’s for individuals who can shape the way the team solves problems, communicates, and scales. Role Overview – What You’ll Be Doing You’ll help build & scale their platform, taking ownership across the UI, core services and the connective tissue between them. You’ll work closely with product, design, and other engineers to ship resilient features that serve high-signal customer value. You Will: • Build modern React interfaces + well-structured TypeScript code, • Develop backend services in Go (happy to look at people from Node, Go, Java, C#, Ruby or Python backend) who are willing to cross train to Go, • Design & consume RESTful APIs + microservice components, • Contribute to system performance, reliability, observability About you as a person: • Surface issues early instead of firefighting late, • Take ownership without needing permission first, • Communicate calmly especially when things don’t go right, • Challenge decisions thoughtfully, constructively, • Adapt communication to audience + context, • Give credit freely, share context proactively, • Continuously reflect, learn, and self-improve, • High standards + low ego = the winning pattern here. Interview Process (Behaviour First, Then Technology) Stage 1 – Behavioural Interview Deep dive into ownership, communication, conflict, self-awareness. Stage 2 – Technical: Front-End Leaning (45 mins, Zoom) With Lead FE + Staff Engineer Focus: React, TypeScript, product-thinking. Final Stage – CTO Conversation Alignment, motivation, scaling behaviours, team contribution. Package • £100–£110k, • 10% cash bonus, • £1,000 wellness & development allowance, • Trust-based unlimited holiday, • Competitive pension, • Hybrid: London office Tues + Thurs To apply, please connect with Jack Cole and drop through a message as to why you feel you’re right for this role. Hit quick apply today

Cloud Platform Team Lead Reports To: Director of Technology Platforms Role Summary The Cloud Platform Owner, will be responsible for owning and optimising the enterprise cloud environment (Azure C Azure local), ensuring its alignment with the firm’s broader technology and business strategies. This is a leadership role in a highly modernising legal technology environment but still remaining hands on with Cloud Azure Engineering, with a clear remit to support AI enablement, centralised integration, automation, and a mobile-first strategy across a global footprint. Key Responsibilities Platform Ownership s Strategy • Act as the primary owner for the Azure cloud environment, including governance, cost management, architecture, and operations., • Develop and maintain a scalable, secure, and resilient cloud platform aligned with the firm’s digital transformation goals., • Drive and implement the roadmap for infrastructure upgrades and simplification of cloud services, on-premservices and all our environments., • Align team capacity and structure with business needs, ensuring roles, responsibilities, and workflows are well defined., • Represent the team in strategic planning forums and contribute to organisational leadership decisions. Leadership The successful candidate will be expected to uphold a high standard of operational excellence and personal accountability. This includes taking full ownership of the cloud platform’s stability and performance. • While the role primarily operates within standard business hours, there is an expectation of flexibility and responsiveness during critical incidents., • Lead by example, setting clear expectations and holding individuals and teams accountable for high performance and ethical conduct., • Provide direct line management of individuals where appropriate, ensuring clear direction, regular development conversations, and alignment with team and business goals., • patch compliance and vulnerability management. Beyond operational stability, the role demands a continuous improvement mindset - proactively evaluating the platform and driving enhancements to optimise efficiency, resilience, and user experience., • Manage incident response, problem management, and change management processes in collaboration with other platform teams., • Ensure effective monitoring, health checks, and proactive maintenance across services all Cloudinfrastructure services (including on-prem services)., • Ensure we have Disaster Recovery environments that are fit for purpose and regularly tested., • Take ownership of major incidents related to cloud infrastructure, including root cause analysis and corrective actions., • Be available outside of standard working hours if required for high-priority incidents, demonstrating a commitment to seeing critical issues through to resolution, regardless of the time of day., • Oversee and hold third-party cloud service providers (e.g., managed service partners, platform vendors) to account, ensuring they meet agreed SLAs, security standards, and deliver consistent value to the business. Engineering s Projects • Lead a team of platform engineers and third-party partners responsible for configuration, automation, deployment, and enhancement of the platform., • Oversee delivery of projects related to the Cloud platform, including upgrades, new capabilities, and digital transformation initiatives., • Ensure effective use of tools such as SolarWinds, Azure, Tenable., • Enforce patch management processes and ensure the environment is compliant., • Evaluate and pilot emerging capabilities such as Microsoft Copilot and AI-driven productivity tools., • Oversee the operational integrity, performance, and availability of core data platforms and pipelines that support reporting, analytics, and AI readiness across the firm., • Collaborate closely with the Data C AI teams to ensure cloud infrastructure supports scalable, secure, and reliable data ingestion, transformation, and delivery. Budgeting s Licensing • Own and manage the platform budget, ensuring efficient use of resources and cost optimisation., • Manage and forecast consumption charges, ensuring compliance and maximising license utilisation., • Liaise with procurement, finance, and vendors for renewals and cost planning. Governance, Risk s Compliance • Define and enforce policies for workload management and governance across our cloud estate., • Maintain compliance with internal policies and regulatory requirements., • Collaborate with business units, Technology senior leadership team, and product teams to gather requirements and improve platform services., • Champion change management initiatives that drive behavioural adoption of digital tools across the firm., • Act as an evangelist for Modern cloud tools, driving user adoption and digital workplace maturity., • Proven experience in managing enterprise-scale Microsoft Cloud environments., • Expert knowledge of Windows Server, with a deep understanding of Microsoft Azure, Conditional Access, Entra ID, Microsoft Defender, and related technologies., • Hands-on experience with cloud management, collaboration tools, and identity/security best practices., • Disaster Recovery Planning and Implementation, • Experience managing budgets, licensing agreements, and vendor relationships., • Strong leadership and communication skills, with the ability to lead cross-functional teams and projects., • Knowledge of ITIL practices and service management methodologies., • Strong problem-solving and analytical abilities. Behavioural skills • Presents ideas and concepts to non-discipline colleagues and management in a manner that is respectful and understandable., • Objective of job is to motivate others to act; understanding, developing, motivating, negotiating, mediating conflict with technical staff and third parties., • Creates an environment in which quality information flows freely between self and others; encourages open expression of ideas and opinions; builds effective teams, • Excellent communication skills (both written and verbal) and the ability to interact across different cultures and time zones., • Expected to have regular interaction with management and counterparts in multiple businesses and countries., • Demonstrates ability to handle abstract problems with no known solutions., • Adapts to multiple/changing demands readily., • Can see applications for practices from different industries that could benefit our business, and successfully implements them., • Microsoft Certified: Azure Solutions Architect Expert

We are seeking an accomplished and visionary Head of Data & AI to lead the firm’s data strategy, data operations, and AI enablement initiatives. As a 500-person alternative investment manager with diverse strategies, global clients, and increasingly complex data needs, we require a leader who can architect a modern, scalable, and business-aligned data and AI capability. This role will be responsible for building the data operating model, driving adoption of advanced analytics and AI across investment and business functions, and ensuring the firm maximizes the value of its data assets while maintaining robust governance and operational excellence. Key Responsibilities 1. Data Strategy • Define and own the firm-wide data strategy, ensuring alignment with investment, risk, distribution, and operational priorities., • Establish a clear vision for the firm’s data architecture, including master data management, data quality frameworks, data cataloguing, lineage, and metadata management., • Develop and enforce a comprehensive data governance framework in collaboration with Technology, Compliance, Risk, and business stakeholders., • Champion data as a strategic asset, driving cultural and behavioural change across the organisation. 2. Data Operations & Platform Ownership • Lead the design, implementation, and continuous improvement of the enterprise data platform, ensuring high availability, reliability, and scalability., • Oversee data ingestion, integration, transformation, and distribution processes supporting investment research, portfolio management, risk analytics, reporting, and client solutions., • Build and manage a high-performing data operations function, including data engineering, data quality and stewardship, and business-facing data services., • Introduce KPIs and operational metrics to ensure data quality, timeliness, and service excellence. 3. Target Operating Model (TOM) • Architect and implement a target operating model for Data & AI, covering organisational structure, roles and responsibilities, services, workflows, and engagement models., • Define service tiers, operating principles, and delivery mechanisms for data and analytics capabilities across front, middle, and back-office functions., • Drive adoption of the TOM across the firm, ensuring consistency, clarity, and measurable operational improvements. 4. AI Strategy & Enablement • Develop and lead the firm’s AI strategy, identifying high-impact use cases across investment research, deal sourcing, risk modelling, client engagement, and operational automation., • Partner with investment teams, quant groups, and business stakeholders to deliver AI-powered tools, workflows, and insights., • Establish governance, standards, and guardrails for responsible AI, ensuring compliance, transparency, and model integrity., • Build and scale a central AI enablement function, including ML engineering, model operations (MLOps), and AI product management. 5. Leadership & Stakeholder Engagement • Serve as the senior advocate for data and AI innovation, influencing executive-level decision making., • Manage and develop a multi-disciplinary team, fostering a culture of excellence, experimentation, and delivery., • Build strong partnerships with technology, investment, risk, and distribution leaders to ensure solutions are business-driven and outcomes-oriented. Qualifications • 10+ years of experience leading data and/or AI functions within financial services, ideally alternative investments or asset management., • Proven experience designing enterprise data strategies and operating models., • Strong track record delivering AI and advanced analytics solutions in production environments., • Deep knowledge of cloud data platforms, data engineering, governance, and MLOps.

C++ Developer We are a fast-growing, technology-driven brokerage specialising in high-performance trading systems and low-latency market connectivity. Our team builds robust, scalable, mission-critical software that powers real-time trading across global markets. We are looking for a talented C++ Developer to join our engineering group and help enhance the core systems that keep our business at the forefront of the industry. The Role As a C++ Developer, you will play a key role in the design, development, and optimisation of our trading and market-data platforms. You’ll work closely with traders, quantitative analysts, and other engineers to build highly performant solutions that operate at scale. This position requires strong problem-solving abilities, a deep understanding of modern C++, and a passion for writing clean, efficient code. Key Responsibilities • Develop and enhance low-latency C++ applications for trading, market data, and connectivity, • Work with cross-functional teams to design and implement new system features, • Profile, debug, and optimise code to ensure maximum performance and reliability, • Contribute to architectural decisions and technical strategy, • Maintain high coding standards and best practices across the codebase Required Skills & Experience • Strong commercial experience with modern C++ (C++17/20 desirable), • Solid understanding of multithreading, concurrency, and performance optimisation, • Experience with Linux systems and network programming, • Knowledge of STL, templates, and low-level programming concepts, • Ability to work in a fast-paced, collaborative environment, • Excellent communication and problem-solving skills Nice-to-Have • Experience in financial markets, trading systems, or brokerage platforms, • Familiarity with scripting languages (Python, Bash), • Exposure to market data protocols (FIX, FAST, ITCH/OUCH) What We Offer • Competitive compensation package, • 4-day on-site working week in our central London office, • Opportunity to work on high-impact, mission-critical systems, • Collaborative culture where engineering excellence is valued, • Professional growth and continuous learning opportunities

Synechron is looking for a hands-on AI Engineer to join the London AI Practice. This role focuses on engineering production-grade AI solutions across various sectors, predominantly financial services. You will work on a diverse mix of projects, ranging from complex Generative AI architectures (RAG, Agents) to Machine Learning problems (forecasting, classification, anomaly detection). The ideal candidate will have strong software engineering fundamentals alongside deep ML knowledge. Role: • Architect & Build GenAI Systems: Design and deploy advanced RAG and GraphRAG applications, • ML Implementation: Develop and maintain traditional machine learning models (Regression, Classification, Clustering, Time-Series) to solve structured data problems, • Agentic Workflows: Build multi-agent systems using frameworks like LangGraph, AutoGen, or similar to automate complex analysis tasks, • Evaluation & Observability: Implement rigorous evaluation frameworks (e.g., Ragas, DeepEval) to benchmark LLM performance, and standard metrics (F1, RMSE, AUC) for classic models, • Engineering Rigour: Write production-ready code (Python/TypeScript), manage CI/CD pipelines, and ensure scalable deployment via Docker and Kubernetes, • Infrastructure: Manage Vector Databases (Pinecone, Weaviate, Chroma) and ML model registries Experience: • Experience: 3-5 years of professional engineering experience, • Core ML & Data Science: Proven experience applying traditional ML techniques (Random Forest, XGBoost, Linear/Logistic Regression) to real-world datasets, • Deep hands-on experience with LLM orchestration (LangChain, LlamaIndex), • Production experience with Vector Databases and Hybrid Search implementation, • Experience with Prompt Engineering techniques (CoT, ReAct) and structured outputs, • Languages: Expert proficiency in Python, • TypeScript/JavaScript: Ability to write full-stack applications or use JS/TS-based AI SDKs, • Graph Technology: Experience with Knowledge Graphs (Neo4j) or GraphRAG implementations, • Fine-tuning: Experience utilising LoRA/QLoRA for fine-tuning open-source models (Llama 3, Mistral) on custom datasets Ideal Candidate Profile The successful candidate will be a software engineer who speaks the language of Data Science and understand that "it works in a notebook" is not the definition of done. Explain the difference between a vector search and a keyword search, know when to use a simple regression model versus an LLM, and are comfortable reading a research paper and implementing it in code. Permanent position - x3 days in London office - Excellent benefits Diversity Statement Synechron are proud to be an equal opportunity employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmes to support our global workforce. Empowerment and collaboration are at the core of how we operate. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

I am looking for a Tech Lead to join my clients LLM team; you’ll own the architecture, training, and deployment of models that drive our core product. This is a hands-on leadership role: you’ll write production code, define alignment strategies, and ship features that impact millions globally. Why This Role Is For You • Massive Scale: Solve real-time challenges in latency, throughput, and context management at 80M+ tokens/day., • Production Impact: Fine-tune today, see results tomorrow—this is not a research sandbox., • Complex Problems: Build nuanced moderation and alignment systems for a unique, high-complexity environment. What You’ll Do • Lead and code: Architect systems, mentor engineers, and stay hands-on in Python/PyTorch., • Own the model lifecycle: From fine-tuning and RLHF/DPO to designing RAG pipelines., • Build smarter moderation: Develop classifiers and safety systems that go beyond simple filters. What We’re Looking For • Proven experience shipping AI/LLM products at scale., • Deep technical skills in Python, PyTorch, and modern LLM stacks., • A builder’s mindset: fast, pragmatic, and obsessed with quality., • Ownership mentality: you care about performance, reliability, and user experience. Tech Environment • Scale: 80M+ tokens/day., • Team: Small, high-impact group with direct access to leadership., • Culture: High autonomy, low bureaucracy, big challenges.

Head of / VP of Performance Marketing (Tech Company) £10-12 Million ARR • Retained Exclusive Search, • Location: London, UK (Hybrid), • 3 Days a week in the office - Tuesday, Wednesday, Thursday The Mandate We are looking for a lead generation engine builder, not a brand custodian. We need a senior operator to take ownership of the marketing function, assess the current state, and build on top of our current processes to drive a measurable (double-digit) increase in sales pipeline. This role sits at the intersection of Marketing, Sales, and Product, translating business goals into executable, data-driven campaigns. Key Objectives • Architect the Growth Engine: Optimize our tech stack (HubSpot, Clay, and data orchestration tools) to automate the flow from "suspect" to "opportunity.", • Fuel the SDR Team: Move beyond basic lead handoffs. Act as the intelligence partner to the growing SDR organization, supplying high-intent signals and enriched data to drive outbound efficiency., • ROI Driven Execution: Establish a clear "Dollars-in to Pipeline-out" model. Manage the budget and external agencies with a focus on unit economics and ROI, not vanity metrics., • Leadership: Manage the team to increase output velocity. Shift the culture from "activity-based" to "outcome-based." Who we are looking for • Technically Proficient Marketer: You are native to the modern stack (HubSpot, Automation, Data Enrichment). You understand how to use tools like Clay to build competitive advantages in outreach., • A Sales Partner: You have likely worked closely with high-volume SDR/BDR teams before. You understand that Marketing fails if Sales doesn't succeed., • A Player-Coach: You can present strategy to the Leadership team, but you are willing to get into the workflows to fix a broken process. Resources & Team Structure • Variable Budget: $300k – $400k (approx.), • Covers Technology (HubSpot, Clay, etc.), Paid Media (Google Ads, LinkedIn), and Agency fees., • Actively reviewing opportunities to engage in Events and Conferences for 2026., • Note: Potential to increase budget by 20-30% based on demonstrated performance and ROI., • Reporting into this Role:, • Marketing Director (8 years tenure; deep product/content knowledge & HubSpot execution). Salary £100,000 - £120,000, Bonus - 20% All other Standard Benefits 25 Days Annual Leave

About Our Team We are at the forefront of AI innovation, driving the core technical engine that powers our next generation of enterprise products. Our mission is to translate complex, cutting-edge academic research into scalable, reliable, and commercially impactful solutions. We operate with the agility of a startup but with the resources of a global leader, fostering a culture of technical rigor, publication, and groundbreaking work. The Opportunity We are seeking an Applied AI Research & Engineering Leader to define the technical foundation and innovation roadmap for our entire AI division. This is a hands-on, high-impact technical leadership role for an individual who excels at merging deep academic research with production-grade engineering. You will be responsible for leading a team of elite researchers and engineers, defining our core ML/AI research agenda, and ensuring the robust, scalable deployment of all novel algorithms into our production environment. What You Will Lead: Key Responsibilities 1. Technical Vision & Research Strategy • Set the Technical Roadmap: Define the multi-year research and engineering roadmap for the AI platform, prioritizing projects that solve critical, high-complexity technical challenges (e.g., model efficiency, interpretability, real-time inference)., • Deep Learning & Modeling: Lead the design, implementation, and optimization of advanced deep learning, Generative AI, and Reinforcement Learning models from scratch, pushing the state-of-the-art for our domain., • Academic Translation: Monitor and translate bleeding-edge academic research and industry trends into rapid prototypes suitable for mission-critical production deployment. 2. MLOps & Production Engineering Excellence • MLOps Leadership: Establish and enforce industry-leading best practices for MLOps (Machine Learning Operations), ensuring automation, reproducibility, version control, and continuous integration/continuous delivery (CI/CD) for all models., • Architecture Review: Personally review and approve the technical architecture for all deployed AI systems, ensuring they meet strict criteria for scalability, low latency, and fault tolerance., • Resource Optimization: Drive research into optimizing computational costs for large models, including strategies for model compression, quantization, and efficient hardware utilization. 3. Team Leadership & Technical Mentorship • Lead Technical Talent: Recruit, mentor, and manage a high-performing team of Applied AI Scientists, Machine Learning Engineers, and Researchers., • Culture of Rigor: Foster a technically demanding and research-driven culture, encouraging publication, patent filing, and open-source contributions., • Code Quality: Ensure all core AI codebases adhere to the highest standards of quality, documentation, and maintainability. Qualifications, Skills, and Competencies Required Qualifications • Experience: 15+ years of hands-on experience in Machine Learning, Deep Learning, or AI Research, with a focus on building and deploying complex models at scale., • Leadership: 5+ years of technical leadership experience managing a team of Data Scientists and ML Engineers., • Expertise: Expert-level proficiency in core ML frameworks (e.g., PyTorch, TensorFlow) and data science languages (Python)., • Generative AI: Proven experience building a commercial practice or product focused on Generative AI and Large Language Models (LLMs)., • Domain Breadth: Demonstrated expertise in at least two major AI domains (e.g., Deep Learning, NLP, Computer Vision)., • Impact: Proven track record of success in a client-facing or internal product-focused role, directly translating technical output into commercial results., • MLOps: Deep practical knowledge of MLOps principles and extensive experience with cloud-native ML services (e.g., Google Cloud Vertex AI, AWS SageMaker, Azure ML)., • Education: Ph.D. or Master's degree in Computer Science, Machine Learning, or a highly quantitative field, OR equivalent demonstrated technical leadership experience. Preferred Qualifications • A strong portfolio of research publications (ICML, NeurIPS, KDD, etc.) or patents related to applied AI., • Extensive experience with distributed computing frameworks (e.g., Spark, Ray) for large-scale model training and inference.

Platform Engineer - AI - £100K+ Our client is a growing AI and Automation software company. In their central London office (hybrid, flexible working), they’re looking to hire a Platform / DevOps Engineer to build and scale the platform infrastructure and work with the engineering team to enable seamless CI/CD and improve deployment pipelines. In this key role you’ll design and implement new Kubernetes and container orchestration, own the AWS infrastructure with Terraform, build Python microservices and ensure API integration – Very varied! Requirements: • Strong Kubernetes expertise, • Deep understanding of Deployments, Services, ConfigMaps etc, • Experience with pod autoscaling (HPA / VPA) and resource optimisation, • Systems knowledge - From container orchestration and CI/CD pipelines to API design and frontend integration, • Excellent experience with Infrastructure as Code with Terraform, AWS services (EKS, S3, RDS, ECR, IAM) and DevOps, • A self-starter who can work autonomously from day one, • Strong academic background would be ideal, • Early-stage scaling experience, • Frontend experience - Next.js, Typescript etc - would be ideal

Location: London (or remote) 3-6 month freelance contract Our client is a technology company that builds decentralized digital identity solutions. They believe that everyone has the right to own and control their data, and they are committed to creating a trusted digital credentials ecosystem that empowers businesses and individuals to securely exchange data and services across borders and industries. They are in search of a solution-oriented Rust Software Engineer (Backend) with deep, demonstrable expertise and experience in Rust, to work on secure, scalable, and high-performance backend systems. You will be responsible for the continued enhancement and development of a multi-component platform, where your expert skills in designing, architecting, and building quality systems will intersect with your hands-on coding, performance testing, and integration experience. Responsibilities: • Build and deliver secure, high-quality features and improvements using Rust. Experience in TypeScript and Dart will set you above other applicants for this role, • Create standards-compliant world-class software systems and components, most of which will be open-sourced., • Influence architectural direction while staying hands-on with development, • Design and implement solutions to complex, large-scale technical challenges, • Identify and drive the most critical improvements in product quality, security, and performance, • Guide the team to build well-tested, secure, and performant services, • Establish and refine best practices for high-scale distributed systems, • Collaborate closely with product, security, and engineering peers in a fast-paced, iterative environment Requirements: • Proven experience with performance optimization and a track record of diagnosing and preventing system bottlenecks, • Strong backend development skills with Rust as a core expertise, • Deep knowledge of TypeScript/Node.js; Dart experience strongly preferred. Familiarity with C# or Go is a plus, • Expertise in cloud computing (AWS) and cloud-native environments, • Proven track record in designing and deploying distributed systems using modern design patterns, • Skilled in technical documentation (C4 Model, ADRs) and clear communication of architectural decisions, • Strong advocate for privacy by design, security-first principles, and high-performance systems, • Expertise in applying asymmetric cryptography in production-grade products, • Experience with authorization/authentication domains; knowledge of identity, verifiable credentials, or secure data exchange is a strong plus, • Comfortable thriving in autonomous, fast-moving startup environments and collaborating across global teams

Senior Infrastructure Engineer – VMware Cloud Foundation (VCF) Type: Contract - 6 Month INSIDE OF IR35 - £650 PER DAY About the Role We’re expanding our global Virtualisation Engineering team and are looking for a Senior Infrastructure Engineer with strong VMware Cloud Foundation (VCF) experience to help shape our next-generation infrastructure platform. This role sits at the heart of a multi-year transformation programme, where we’re building a scalable, automated, and resilient VMware-based virtualisation stack. Working alongside internal teams, strategic partners, and expert consultants, you’ll be heavily involved in designing, testing, integrating, and deploying VCF across large-scale greenfield and brownfield on-prem environments. What You’ll Be Doing • Design and engineer enterprise-scale virtualisation platforms using VMware Cloud Foundation (VCF), covering compute, storage, networking, and security., • Lead the evaluation, certification, benchmarking, and integration of VCF into existing environments and new deployments., • Produce clear integration and migration plans, including risk assessments, scalability considerations, and operational readiness., • Work closely with infrastructure, security, operations, and vendor teams to deliver highly available, compliant, and resilient platforms., • Embed Infrastructure as Code and automation principles, using tools such as Ansible and Python, and integrating with configuration management systems., • Strong experience designing and delivering large-scale VMware virtualisation platforms, with hands-on VCF exposure in both greenfield and brownfield environments., • Deep technical expertise in VMware ESXi, vSphere, vSAN, and associated components (design, build, troubleshooting, tuning)., • Experience contributing to or delivering a multi-year VMware Cloud Foundation rollout., • Proven ability in capacity planning, infrastructure sizing, and integrating complex, multi-vendor platforms., • Solid foundations across Linux, networking, storage, and enterprise hardware., • Excellent communication skills, with the ability to translate business requirements into clear technical designs and documentation.

DevOps Engineer - AI - £100K Our client is a growing AI and Automation software company. In their central London office (hybrid, flexible working), they’re looking to hire a DevOps / Platform Engineer to build and scale the infrastructure and work with the engineering team to enable seamless CI/CD and improve deployment pipelines. In this key role you’ll design and implement new Kubernetes and container orchestration, own the AWS infrastructure with Terraform, build Python microservices and ensure API integration – Very varied! Requirements: • Strong Kubernetes expertise, • Deep understanding of Deployments, Services, ConfigMaps etc, • Experience with pod autoscaling (HPA / VPA) and resource optimisation, • Systems knowledge - From container orchestration and CI/CD pipelines to API design and frontend integration, • Excellent experience with Infrastructure as Code with Terraform, AWS services (EKS, S3, RDS, ECR, IAM) and DevOps, • A self-starter who can work autonomously from day one, • Strong academic background would be ideal, • Early-stage scaling experience, • Frontend experience - Next.js, Typescript etc - would be ideal

We are hiring Data Architect for London location JD Below ✅ Key Skills • Technical Expertise, • Deep understanding of Azure Data Platform capabilities (Data Lake, Synapse Analytics, Data Factory, Databricks, Power BI)., • Knowledge of data architecture principles, data modeling, ETL/ELT processes, and cloud-native solutions., • Familiarity with data governance, security, and compliance in Azure environments., • Project Management, • Proven ability to manage end-to-end technical projects with budgets, timelines, and stakeholder alignment., • Expertise in Agile and Waterfall methodologies, sprint planning, and resource allocation., • Strong risk management, issue resolution, and change control skills., • Customer Engagement, • Excellent communication and presentation skills for client-facing roles., • Ability to translate technical concepts into business value for stakeholders., • Skilled in requirements gathering, stakeholder management, and expectation setting., • Leadership & Collaboration, • Experience leading cross-functional teams (data engineers, architects, analysts)., • Ability to mentor junior team members and foster collaboration., • Other Core Competencies, • Strong problem-solving and analytical thinking., • Proficiency in project management tools (MS Project, Azure DevOps, Jira)., • Understanding of cost optimization and scalability in cloud solutions. ✅ Job Description Title: Customer-Facing Technical Project Manager – Data & Analytics (Azure) Experience: 10+ years in IT with at least 5 years in data platform projects and client-facing roles. Role Overview: The Technical Project Manager will lead complex data and analytics projects leveraging Azure technologies. This role requires a blend of technical depth and project management expertise to deliver high-quality solutions that meet client expectations. Responsibilities: • Manage end-to-end delivery of data and analytics projects on Azure., • Collaborate with clients to define requirements, scope, and success criteria., • Design and oversee data architecture and integration strategies., • Coordinate with engineering teams to ensure timely and quality delivery., • Monitor project progress, manage risks, and provide status updates to stakeholders., • Ensure compliance with security, governance, and best practices., • Certifications: PMP, Azure Solutions Architect, or Azure Data Engineer., • Experience in large-scale enterprise data projects., • Strong background in customer engagement and stakeholder management.

Python Developer – Reliability Join a leading global investment management firm at the forefront of technology innovation. We’re searching for a talented Python Engineer to join our Risk & Market Access division. At our firm, we harness a diverse portfolio of systematic and quantitative strategies, striving to deliver high-quality, uncorrelated returns. Our success is built on a strong foundation of cutting-edge technology, rigorous scientific research, and deep expertise across trading, technology, and operations. As a tech-driven organization, we develop our own advanced systems, including high-performance trading platforms and large-scale data analysis infrastructure. With a global presence, we emphasize collaboration across investment, technology, and operations teams, ensuring seamless integration across our offices worldwide. Within this Reliability team, you’ll play a vital role in maintaining the performance, stability, and availability of our software systems. You'll be working closely with mission-critical applications, developing reliability features, improving observability, and building automation tools to streamline operations. About the Role • 5+ years in Python, with familiarity with version control (e.g., Git), and experience working in a Linux environment., • Experience in building automation tools and managing system configurations., • Knowledge of C++, KDB/q, and experience with technologies like Slurm, Airflow, Kafka, or AMPS., • Background in enhancing system stability, scalability, and performance while conducting root cause analyses to resolve incidents efficiently., • Observability skillset, monitoring and analysis of system performance., • Ability to identify and address bottlenecks to improve response times and resource usage for our production systems, for performance optimization., • Demonstrable background creating and maintaining automation solutions for system operations, deployments, and incident management to reduce manual tasks and improve system reliability. This is a unique opportunity to work in a dynamic and fast-paced environment where technology and innovation are at the heart of everything we do. If you're a skilled software engineer with a passion for reliability, we’d love to hear from you!

Job Description Role Purpose The Frontend Engineer will design and build enterprise-grade visualisations that deliver actionable insights at speed initially, whilst ensuring frameworks can scale across all OpCos. This role demands consultancy-level frontend engineering expertise and the ability to balance velocity with strong engineering standards and discipline. Key Responsibilities · Rapid prototyping: Deliver initial dashboards and visualisations in Tableau to meet urgent business needs · Robust engineering: Architect and build production-grade, reusable dashboard solutions using modern frontend technologies, integrating with enterprise APIs and data sources · Scalability & performance: Ensure solutions are modular, performant, and salable across OpCos, with CI/CD, automated testing, and cloud-native deployment · Operational integration: Embed visualisations into BA workflows, enabling real-time decision-making and measurable impact · Collaboration: Work closely with Data Engineers, Backend Engineers, and Analysts to ensure cohesive solutions deliver cohesive, high-quality solutions · Multi-OpCo deployment: Design for interoperability and reusability across BA, Aer Lingus, Iberia, Vueling, etc · Stakeholder engagement: Translate business requirements into impactful visual experiences; drive adoption and continuous improvement Required Skills & Experience · 10+ years in enterprise frontend engineering in AI/data environments. · Expertise in Tableau and/or PowerBI for rapid prototyping and stakeholder engagement · Deep hands-on experience with modern frontend frameworks (React, Typescript, etc) · Hands-on experience with cloud platforms (AWS preferred); familiarity with scalable deployment and integration · Strong knowledge of API integration. · Proven experience in developing, testing, and deploying robust frontend solutions into production environments, ensuring reliability, scalability, and maintainability beyond proof-of- concept or prototype stages. · Familiarity with airline or logistics data domains is a plus. · Significant experience in similar roles, with a proven ability to integrate quickly into new teams and deliver immediate value. · Initial co-location with BA teams in London is essential to ensure close collaboration. Candidates must also be prepared to travel internationally during later stages to facilitate group-wide deployment. Preferred Consulting-Level Competencies · Track record of delivering high-value products in large, complex organizations, ideally FTSE- 100 Group enterprises or similar · Strong stakeholder engagement and solution-oriented mindset. · Experience in advisory or consulting roles for engineering projects. · Track record of creating high-impact outcomes and driving stakeholder satisfaction from day one. · Ability to implement standards and frameworks for scalable visualisations across multiple operating companies.

Our partner is a global IT services company headquartered in India, with additional offices in the USA. The company specializes in delivering cost-effective, scalable, and innovative technology solutions to small, midsize, and enterprise-level organizations. They are known for their client-centric approach, combining deep technical expertise with a commitment to operational excellence. Their solutions help businesses optimize workflows, boost productivity, and accelerate digital transformation. With a growing international footprint, our partner serves clients across North America, Asia, and the Middle East, positioning itself as a trusted partner for organizations seeking reliable and forward-thinking IT support. Position Summary They are seeking experienced Senior Onsite IT Support Engineers based in London to join their regional support teams across multiple global offices. In this role, you will serve as a key technical resource, delivering end-user support, executing hardware lifecycle tasks, and ensuring smooth day-to-day IT operations in a fast-paced, multi-cultural environment. This position demands advanced technical expertise, a strong customer service mindset, and the ability to manage VIP and AV support needs with professionalism and urgency. Key Responsibilities • Provide full-scope IMAC (Installs, Moves, Adds, Changes) support across onsite endpoints and peripherals., • Perform setup, configuration, diagnostics, and troubleshooting of desktops, laptops, mobile devices, and RF equipment.Deliver white-glove VIP support for executive users and manage real-time escalations., • Maintain and support AV/conference room technologies, addressing urgent walkup issues with responsiveness and discretion., • Execute depot services including device imaging, configuration, inventory tagging, shipment coordination, and asset lifecycle tracking., • Manage onboarding and offboarding IT tasks, including user provisioning and deprovisioning across Active Directory, Microsoft Entra, and enterprise HRMS platforms., • Use ServiceNow for incident tracking, resolution documentation, and SLA compliance., • Participate in monthly patch cycles, software deployment, and ensure endpoint compliance with security and update standards. Required Qualifications • Minimum of 2/3 years of hands-on experience in onsite IT support or end-user computing environments, • Advanced proficiency in Windows, macOS, and mobile OS platforms (iOS/Android)., • Solid knowledge of networking fundamentals (Cisco/Meraki), AV systems, and VoIP technologies., • Expertise in support platforms and tools including ServiceNow, ProxyPro, Microsoft Entra (Azure AD), and MDM solutions like Ivanti., • Familiarity with IT asset management practices and frameworks such as ITIL., • Strong interpersonal, communication, and documentation skills, with cultural sensitivity for regional users., • Certifications such as CompTIA A+, Microsoft Certified Professional (MCP), or equivalent preferred., • ITIL Foundation certification and prior exposure to VIP user support highly desirable

Network Engineer with Zscaler Experience You must have an active DV for this role Inside IR35 Purpose of the Role The Zscaler Technical Specialist provides deep technical expertise in Zscaler technologies to enhance and optimize the organization’s secure access and cloud security posture. Working closely with Engineering, Network, and Security teams, this role uplifts internal capability, improves configuration and deployment practices, and ensures the Zscaler platform is fully leveraged to deliver secure, scalable, and high-performance connectivity across global Diplomatic and Development Services. This position plays a key role in driving best practices, reducing technical debt, and aligning Zscaler capabilities with strategic business objectives. Key Responsibilities • Lead the design, configuration, and optimization of Zscaler Internet Access (ZIA), Zscaler Private Access (ZPA), and Zscaler Digital Experience (ZDX)., • Conduct in-depth assessments of existing Zscaler deployments to identify gaps and opportunities for enhancement., • Develop and implement policies, rules, and workflows to improve security effectiveness, user experience, and operational performance., • Deliver knowledge-transfer sessions, coaching, and technical uplift to strengthen the Engineering Team’s capability in deploying and managing Zscaler solutions., • Collaborate with network, security, identity, and infrastructure teams to ensure seamless integration with enterprise systems and architectures., • Troubleshoot complex issues, perform root-cause analysis, and provide advanced support for escalated incidents related to Zscaler services., • Contribute to documentation, governance, compliance, and operational standards for Zscaler configuration and lifecycle management., • Support ongoing platform improvements, automation efforts, and best-practice adoption to enhance reliability and scalability. Required Skills & Experience • Proven hands-on experience with Zscaler Internet Access (ZIA), Zscaler Private Access (ZPA), and Zscaler Digital Experience (ZDX), including advanced configuration and policy design., • Strong understanding of Zero Trust architecture, secure web gateways, and cloud security principles., • Expertise in networking protocols (TCP/IP, DNS, HTTP/HTTPS), VPN technologies, and identity integration (SAML, OAuth, LDAP)., • Familiarity with firewall policies, proxy architecture, SSL inspection, and traffic forwarding methods., • Experience integrating Zscaler with identity providers (e.g., Azure AD, Okta) and endpoint management solutions., • Ability to analyze logs, troubleshoot complex connectivity issues, and optimize performance across distributed environments., • Knowledge of scripting or automation (PowerShell, Python, APIs) for configuration, reporting, or workflow automation (highly desirable)., • Strong communication skills with the ability to explain technical concepts to varied audiences and uplift team capability. Desirable Attributes • Relevant certifications such as Zscaler ZCCA-IA/ZCCA-PA, CCNP, CISSP, or cloud certifications (Azure, AWS)., • Experience in large-scale or global enterprise environments., • Strong documentation, governance, and continuous improvement mindset.

Join a Trusted Leader in Power Solutions! Join Tarplett Generator Services Ltd as a Field Service Generator Engineer and become part of a dynamic team with over 30 years of expertise in supplying and maintaining diesel generators. This exciting opportunity is perfect for individuals with hands-on experience in diesel engines, offering a varied and rewarding role focused on delivering reliable, high-quality service to our diverse clientele across various industries. We pride ourselves on our dependable, passionate, and skilled team, dedicated to providing exceptional backup power solutions. If you have experience as a generator engineer or possess transferable skills to quickly excel in this field, this could be your chance to shine. Our commitment to quality workmanship and customer satisfaction sets us apart, ensuring reliable backup power for a wide range of industries. Join our passionate team and contribute to our legacy of excellence. Apply now to become a valued member of our team and help power the future! This role is open to anyone with previous experience as a generator engineer only, or has a strong skill set that would allow you to progress quickly to establish your own account. Key Responsibilities • Service and Installation: Maintain and install diesel generators ranging from 20kVA to 1000kVA., • Diagnostics and Repairs: Identify, report, and resolve issues efficiently in a fast-paced environment., • Load Bank Testing: Conduct load bank tests and produce detailed reports., • Deep Sea Panel Configuration: Install and configure Deep Sea control panels., • Record Keeping: Maintain accurate maintenance records in line with company standards., • Customer Support: Address client needs, offering expert advice and solutions to ensure satisfaction., • Vehicle Maintenance: Keep the company vehicle in excellent condition per company policy., • Health and Safety: Adhere to company health and safety policies, ensuring tidy and safe work areas. Key Attributes • Experience: Minimum of 5 years’ experience working with generators or equivalent technical expertise., • Positive Mindset: Enthusiastic, reliable, and proactive attitude., • Team and Solo Work: Comfortable working independently and collaboratively within a strong team., • Adaptability: Willing to work outdoors in all weather conditions. Why Join Us? • Competitive Salary: With opportunities for overtime., • Permanent Role: Full-time position with job security., • Company Perks: Includes a company vehicle, laptop, and phone., • Pension Scheme: Secure your future with our company pension plan., • Holiday package: 20 days of annual leave plus bank holidays with long-service rewards, an additional holiday allowances and access to a premium private health insurance scheme as a thank-you for your commitment., • Career Growth Opportunities: Unlock your potential with opportunities to develop your skills and grow within a forward-thinking company., • Supportive Team Culture: Join a passionate, dependable team that values your contributions and celebrates success together.

Job Title: Principal Design Researcher Location: London, UK (3 days a week Work from the office.) Job Type: Permanent Mandatory: Our client is looking for local British Citizens only. Experience: Role Overview: As a Principal Design Researcher, you will lead the integration of design and research to shape the next generation of AI-powered products. You will champion user-centered discovery, ensuring that every design decision is informed by deep insights into user behavior, psychology, and context. This role requires a thought leader who can blend design excellence with rigorous UX research, driving company-wide initiatives that make the Descrial product ecosystem smarter, more intuitive, and more valuable for users. You will focus on guiding product lifecycle strategies—activation, retention, and expansion—through evidence-based design research, experimentation, and system thinking. Roles and Responsibilities: • Lead strategic UX research programs across product lifecycles (activation, retention, renewal) to uncover unmet user needs., • Proactively identify opportunities where research insights can transform user experience and business outcomes., • Design and execute mixed-method research (qualitative and quantitative) including interviews, usability testing, surveys, ethnographic studies, and behavioral analytics., • Translate research findings into actionable design strategies, user journeys, and product recommendations., • Partner with Product Designers, Product Managers, and Engineers to embed research into product development., • Develop scalable research frameworks, playbooks, and systems that ensure repeatable excellence., • Establish style standards and design principles informed by user evidence., • Maintain an iterative mindset—continuously testing, learning, and refining., • Advocate for the voice of the user across the organization, backing opinions with strong logic and data., • Review product requirements and technical documents to provide meaningful, research-driven feedback. Prerequisites: • Deep expertise in UX research methodologies (qualitative & quantitative)., • At least 3 years of leadership experience in UX research, guiding teams and influencing product strategy., • Strong knowledge of human interaction design and usability principles., • Balanced mindset regarding functional, aesthetically pleasing, and evidence-based design., • Proficiency with design and research tools (Figma, Adobe Suite, UserTesting, Dovetail, Optimal Workshop, or similar)., • Demonstrated experience in technology product design and research., • Experience working in Agile product environments. Experience: • 10+ years in UI/UX design and research, with a proven track record of leading research-driven design initiatives, • Minimum 3 years in UX research leadership roles, managing teams or programs. Education: Bachelor’s degree in design, HCI, Psychology, Cognitive Science, Behavioral Science, or a related field from a premier institution. Advanced training in UX research or human-centered design is a plus.

Job Title: Client Solutions Manager – Marketing & Sales Contract Details: Start Date: 26 January 2026 - End Date: 25 October 2026 Location: London, UK Remuneration: £45.67 Hourly Rate Role Overview: This contract role will cover the Global Solutions Partner position, managing relationships with some of the world’s largest global advertisers and their agencies. The role involves leading strategic workstreams, providing expertise on products and platform solutions, driving media and measurement strategies, and identifying opportunities for revenue growth. Key Responsibilities: • Partner with Global Client Lead on strategic road mapping and global business plan implementation across client and agency relationships., • Drive revenue acceleration, product solution adoption, and best practices., • Lead media best practices, strategy, measurement learnings, and optimization., • Collaborate with Marketing Science to lead the global Learning Agenda and ensure alignment across the company and client organisations., • Analyse data and insights to guide strategy and adoption; translate complex data into actionable recommendations., • Partner with regional and local sales teams to ensure alignment on account priorities and deliver exceptional client service., • Enable knowledge exchange across global, regional, and local teams., • Build and manage relationships with key executive clients and media agency partners., • Develop capability-building programs for clients and agencies to drive solution adoption at scale., • Support troubleshooting of platform issues and solution mapping., • Ability to travel locally and internationally as required. Required Qualifications & Experience: • Education: BA/BS degree in a technical or marketing field., • Experience: In media, marketing, or consulting., • Deep experience of ad products., • Strong understanding of digital media platforms, advertising metrics, and industry trends. Top 5 Required Skills: • Analytical Skills: Advanced proficiency with Excel and dashboards; ability to analyse large datasets and translate insights into business impact., • Project Management: Proven ability to lead multiple projects simultaneously with attention to detail., • Collaboration: Experience partnering across internal teams and external client/agency partners., • Problem Solving: Demonstrated ability to identify and resolve complex challenges effectively., • Consultative Approach: Strong client service orientation and ability to influence decision-making 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.

Role Overview: BW: Workplace Experts, a leading fit-out construction company based in Central London, is seeking a Data & Analytics Engineer to continue our journey towards leading the construction industry with data driven intelligent decisions. You will own the architecture, governance, and optimisation of BW’s Microsoft Fabric environment, design and deliver enterprise grade Power BI dashboards, and play a pivotal role in developing the future of data across the business. This is a hands on, high impact position suited to someone ready to lead technical direction, mentor others, and help shape a modern, data driven culture. Key Responsibilities: • Architect, maintain, and optimise BW’s Microsoft Fabric ecosystem, ensuring scalable, efficient data workflows across the business., • Design and deliver insightful, interactive Power BI dashboards and analytical models to drive decision-making., • Translate complex business requirements into reliable, well-documented data structures and reporting frameworks., • Implement data governance and quality controls, ensuring accuracy, consistency, and compliance across all systems., • Partner with IT, operations, and commercial teams to drive adoption of data-driven decision-making., • Mentor and support junior members of the analytics team, fostering technical excellence and collaboration., • Champion best practices in data architecture, visualisation, and automation. Essential Skills: • Proven experience architecting and supporting solutions within Microsoft Fabric (including Data Factory, Synapse, and OneLake)., • Advanced proficiency in Power BI, including DAX, Power Query (M), and data modelling., • Deep understanding of data warehousing, ETL, and data lakehouse concepts., • Strong working knowledge of Databricks, including Delta Lake and notebooks., • Strong interpersonal skills with the ability to influence and communicate complex data topics clearly., • Excellent analytical, organisational, and problem-solving abilities., • Experience leading or mentoring technical peers. Bonus Skills and Experience: • Proficiency in Microsoft SQL Server, including stored procedures, triggers, and performance tuning., • Familiarity with Supabase/Postgres or similar cloud database technologies., • Experience with low-code and integration tools such as Power Apps, Power Automate (Microsoft Flow), Workato, Make (Integromat), or n8n., • Experience with Azure DevOps or CI/CD data pipelines.

Copilot Engineer (12m FTC) - £80k-£100k - Financial Services - London (hybrid) La Fosse are working with a leading financial services institute, rolling out Microsoft Copilot and scaling adoption across the business. They’re now looking for a Copilot expert on a 12m FTC basis to lead the lifecycle management for Copilot agents and workflows, administer and optimise the Copilot stack, and work with stakeholders across the company to help drive best practice and adoption. Required Skills & Experience: • Deep technical expertise in Microsoft 365 Copilot and Copilot Studio (agent building under the hood, not just prompts)., • Strong understanding of Microsoft ecosystem: Power Platform, Dynamics, Fabric., • Knowledge of data privacy and governance in AI deployments., • Ability to scale solutions securely and manage decentralized usage. Well-respected brand and a quick interview turnaround (Q1 start depending on availability). Please apply for full details. Must have full UK right to work without the need for sponsorship.

About the Role We are seeking an experienced AI Engineer who specialises in delivering end-to-end AI solutions using Agentic AI frameworks and Generative AI technologies. This role demands consultative skills, technical expertise, and the ability to identify impactful use cases and articulate business benefits while implementing scalable AI solutions. Key Responsibilities • Design and implement Agentic AI architectures for enterprise workflows., • Integrate Generative AI capabilities (LLMs, multimodal models) into client solutions., • Deliver end-to-end AI solutions from ideation to production deployment., • Build, fine-tune, and evaluate LLM-based Q&A models using frameworks like AWS Bedrock, LangChain, HuggingFace Transformers, or OpenAI API., • Design prompt templates and implement retrieval strategies to increase answer precision and factuality., • Assist in creating data pipelines for training and testing, including annotation and evaluation tooling., • Collaborate with product managers to translate user requirements into technical features., • Participate in error analysis, iterative model improvement, and performance tuning., • Document code and workflows clearly; follow best practices for reproducibility and code quality., • Engage with clients to identify high-value AI use cases and define business benefits., • Conduct workshops and assessments to align AI strategies with organisational goals., • Provide thought leadership on AI adoption and emerging trends., • Develop reusable frameworks and accelerators for Agentic AI and GenAI., • Ensure compliance with AI ethics, security, and governance standards., • Mentor junior engineers and guide cross-functional teams., • Stay ahead of industry developments in Agentic AI, autonomous agents, and LLM ecosystems., • Develop and deploy autonomous agents using Azure AI Agent Service, ensuring state management, memory persistence, and secure tool execution., • Orchestrate complex multi-agent workflows to handle tasks requiring planning, reasoning, and tool use., • Extend Microsoft 365 Copilot by building custom plugins and declarative agents within Microsoft Copilot Studio to surface enterprise data in Teams and Office apps., • Operationalize AI solutions using Microsoft AI Foundry for model catalog management, Prompt Flow evaluation, and lifecycle governance., • Architect scalable deployment patterns for agents using Azure Container Apps or Azure Functions, ensuring low-latency responses and cost-effective scaling. Required Skills • Strong experience in Agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI)., • Hands-on expertise with Generative AI (LLMs, prompt engineering, fine-tuning)., • Proficiency in Python and familiarity with deep learning/NLP libraries (LangChain, PyTorch, TensorFlow, HuggingFace Transformers)., • Experience with building Q&A systems and retrieval-augmented generation pipelines., • Knowledge of vector databases or semantic search concepts., • Familiarity with cloud AI platforms (AWS Bedrock, Azure OpenAI, GCP Vertex AI)., • Knowledge of MLOps practices and deployment pipelines., • Ability to articulate business value of AI solutions and drive client conversations., • Experience with Git, collaborative development workflows, and cloud infrastructure (AWS, Azure, GCP, Domino)., • Experience building custom copilots and plugins using Microsoft Copilot Studio and integrating them with Power Platform connectors., • Proficiency in deploying AI workloads to Azure Container Apps (ACA), Azure Kubernetes Service (AKS), or serverless functions (Azure Functions) for event-driven agent triggers., • Experience implementing RAG using Azure AI Search (vector, semantic, and hybrid search) and OneLake/Microsoft Fabric. Nice to Have Skills • Certification: Microsoft Certified: Azure AI Engineer Associate or similar specialized training in Azure OpenAI., • Experience implementing Azure Managed Identities, Private Endpoints, and Content Safety filters for enterprise-grade agent security., • Familiarity with tracing agent thought processes (tracing chains/flows) and monitoring token usage in Azure Monitor/App Insights. Consultative & Business Skills • Excellent stakeholder management and communication skills., • Ability to translate technical concepts into business outcomes., • Experience in workshops, solution roadmaps, and executive presentations. Education & Experience Bachelor’s/Master’s in Computer Science, AI/ML, or related discipline (or equivalent experience). Experience in AI solution delivery and client-facing consulting roles. Why This Role Matters Agentic AI and Generative AI are redefining automation and decision-making. This role offers the opportunity to lead transformative projects that combine autonomous agents, LLM-powered Q&A systems, and consultative expertise to deliver measurable business impact.

Level 3 SOC Analyst Location: London (Hybrid – 1–3 days per week) Salary: Up to £82,000 + Bonus + Private Healthcare A leading UK retail organisation is continuing to invest heavily in its cyber security capabilities and is looking to hire an experienced Level 3 SOC Analyst to join a mature and well-established Security Operations function. This role sits at the sharp end of detection, investigation, and response. You’ll be responsible for handling complex security incidents, improving detection capability, and acting as a technical escalation point for the wider SOC team, while working closely with engineering, threat intelligence, and security leadership. Key Responsibilities • Act as the final escalation point for complex security alerts and incidents across the enterprise, • Lead and coordinate incident response activities, including containment, eradication, and post-incident reviews, • Perform advanced threat hunting and proactive investigations using SIEM, EDR, and cloud telemetry, • Develop, tune, and optimise detection rules aligned to MITRE ATT&CK, • Work extensively with the Microsoft Security stack, including Sentinel, Defender XDR, Entra ID, and M365 Security, • Improve SOC processes, playbooks, and response procedures to reduce MTTD and MTTR, • Support and mentor Level 1 and Level 2 analysts, raising overall SOC capability, • Collaborate with wider security teams (engineering, IAM, cloud, risk) on remediation and security improvements, • Provide clear technical reporting and recommendations to both technical and non-technical stakeholders Required Experience • Proven experience working as a Level 3 / Senior SOC Analyst or equivalent role, • Strong hands-on experience with the Microsoft security ecosystem (Sentinel, Defender, MDE, MDI), • Deep understanding of incident response, attacker TTPs, and kill-chain methodologies, • Experience creating and tuning SIEM detections and alerts, • Strong knowledge of Windows environments, Active Directory, Azure, and M365, • Experience with threat hunting and forensic investigation techniques, • Comfortable working in a hybrid on-site model (1–3 days per week in London) Desirable Skills • Experience in large-scale or enterprise environments, • Exposure to retail, e-commerce, or high-volume customer-facing environments, • Scripting or automation experience (PowerShell, KQL, Python), • Relevant certifications such as GCIA, GCED, GCIH, SC-200, or similar What’s On Offer • Salary up to £82,000 depending on experience, • Annual performance bonus, • Private healthcare plan, • Hybrid working (London-based, 1–3 days per week), • Opportunity to work in a high-impact SOC role within a well-funded security programme, • Clear progression and the chance to influence SOC strategy and detection maturity

Senior Technical Engagement Manager – Data Management Diversified Industries Salary: £100,000 – £135,000 + 15% bonus Location: London, United Kingdom (Flexible hybrid working) Travel: Travel required to client offices across the UK Employment Type: Permanent Role Overview Our client is a globally recognised analytics and digital consultancy, trusted by leading Banks, Insurance providers, and FTSE 100–250 companies across sectors including Media, Utilities, Pharma, and Telecoms. They are at the forefront of delivering cutting-edge data, analytics, and digital transformation solutions, helping organisations harness the power of information to drive business outcomes. The team is highly experienced, collaborative, and includes a handful of colleagues who have worked with our consultancy earlier in their careers, ensuring strong, trusted relationships and a high-performing culture. This role is highly client-facing and combines delivery leadership, technical credibility, and commercial acumen. You will act as a trusted advisor to senior client stakeholders while enabling strong communication between clients, project teams, and internal support functions. Leadership is expected not only in the traditional sense, but through influence and example. The successful candidate will demonstrate innovation, critical thinking, positivity, strong communication, collaboration, and the confidence to act independently while remaining approachable. Key Responsibilities Client & Account Leadership • Actively seek opportunities for expansion and growth within existing client accounts, • Own and manage account plans for assigned accounts, • Build strong, trusted-advisor relationships with senior-level client stakeholders, • Engage with executive leadership to identify opportunities across data management, analytics, and digital services, • Conduct regular business reviews, clearly articulating and measuring business value delivered Engagement & Delivery Management • Oversee the successful delivery of client engagements in line with business requirements, project objectives, contractual deliverables, and internal methodologies, • Manage client communication, budget tracking, delivery standards, and overall engagement health, • Identify, track, and report engagement metrics to measure success, • Conduct engagement analysis to identify risks, issues, and opportunities, along with their potential impacts, • Develop and implement action plans to address underperforming projects, • Manage project change requests, change orders, and corrective actions Technical & Team Leadership • Identify, onboard, assemble, and manage delivery teams to meet customer expectations, • Lead and coordinate teams of 5–20 resources, leveraging technical and competency leads as required, • Monitor team performance and ensure high-quality delivery of major milestones and outcomes Commercial & Internal Collaboration • Partner with Account Managers on proposals and statements of work, • Work closely with Finance to manage invoicing, forecasts, and monthly financials, • Provide clear and consistent status reporting to stakeholders, including risks, issues, and mitigation plans, • Support recruitment activities by conducting technical and non-technical interviews and providing structured feedback Essential Qualifications & Experience • Bachelor’s or Master’s degree in Business, IT, or equivalent professional experience, • Minimum of 10 years’ domain experience within Diversified Industries, • 10+ years’ experience delivering BI, DW, and enterprise data management solutions, • 3+ years’ experience in technical architecture and/or project management, • Strong hands-on experience with:, • Business Intelligence and Data Integration, • SQL database implementations, • Delivery of complex, enterprise-scale systems, • Proven experience leading project and development teams, • Highly proficient with MS Project and standard MS Office applications Desirable Skills & Attributes • Experience with Master Data Management (MDM) and Data Governance, • Exposure to sales and pre-sales environments, • Strong understanding of delivery methodologies including Agile, Waterfall, Scrum, and Kanban, • Deep experience creating and managing project plans, including estimation, resourcing, risk management, and dependency tracking, • Strong knowledge of Software Development Lifecycles and methodologies, • Ability to lead and influence delivery teams, both directly and indirectly, • Excellent organisational skills with the ability to manage complex dependencies, • Proven ability to operate as a trusted advisor beyond core delivery management, • Confident presenter to senior stakeholders and large groups (25+), • Strong analytical skills with the ability to work with abstract and complex information, • Excellent written and verbal communication skills, • Strong understanding of enterprise data management technologies, including the strengths and limitations of leading tools and platforms Diversity, Equity & Inclusion Our client is committed to building a diverse, inclusive and equitable workplace where everyone feels valued, respected, and empowered to do their best work. They welcome applications from people of all backgrounds, identities, and lived experiences, believing that diverse perspectives drive better outcomes for both clients and teams. They actively support flexible working and are happy to discuss reasonable adjustments at any stage of the recruitment process to ensure every candidate has a fair and positive experience.

Solutions Architect - Enterprise Transformation (Hybrid - London) Are you a talented Solutions Architect looking to leave your mark on a major enterprise transformation programme? We're partnering with a leading organisation on an exciting opportunity for a Solutions Architect to help design and shape a modern, efficient technology landscape that supports growth and operational excellence. The Role: As a Solutions Architect, you'll take a key role within a flagship transformation programme, gaining a deep understanding of business and technology goals and steering solution design across several core workstreams. Working closely with programme leadership, architecture teams, engineering functions, and suppliers, you will ensure delivery of high-quality, scalable, and reliable solutions that align with the organisation's architectural vision. You'll provide governance, technical direction, and architectural leadership, ensuring all solutions are fit for purpose, future-ready, and seamlessly transitioned into operational use. About the Programme: This major transformation initiative spans retail, finance, customer, data, and reporting. It aims to deliver modern systems, improved data capabilities, and cutting-edge technologies that will underpin business growth and operational efficiency. Working Arrangements This is a hybrid role, requiring an average of at least one day per week in the London office. Flexibility is key, and working patterns may vary depending on project needs. About You: We're looking for someone with: • Strong knowledge of Azure architecture, frameworks, and industry best practice., • Extensive experience in solution architecture and technical design, particularly across Azure data landscapes, integrations, and reporting., • Proven ability to collaborate with virtual, matrixed teams and external partners., • Experience owning deployment and service transition processes., • Excellent stakeholder management skills, confident engaging at senior and director level., • Capability to lead technology change initiatives and produce both high-level and low-level architectural designs. Apply now to join a forward-thinking organisation and help shape its technology future.

Senior Product Designer – Take ownership of the product 🚀 💰Up to £85,000 🏡Hybrid working – 2 days a week onsite in London We’re currently partnered with a scaling B2B SaaS company who are redefining the property industry by empowering businesses with their impactful technology as they are renowned for their data insights that enable their customers to make smarter decisions. As an industry leader, they are now looking to continue to grow and scale and this position will play a key part in their next phase of growth. You’ll be working closely with a cross-functional team and will take ownership of the UX requirements from research through to design. They looking for a Product Designer with experience in designing intuitive and interactive user interfaces for web-based applications. You’ll be responsible for enhancing the user experience across all their products with the change to lead design, collaborate and drive alignment across the company. What will you be doing: • Take the lead on the design process where you’ll own and drive the end-to-end design process starting with user research through to designs, • Be responsible for the user research and discovery where you’ll conduct comprehensive user research including interviews, workshops and surveys to build a deep understanding of their users goals and requirements, • Work closely with product managers, engineers and other stakeholders to turn business requirements and user insights into design concepts user flows and journey maps, • Create wireframes, mockups and interactive prototypes to leverage their design system to maintain consistency and scalability, • Lead and facilitate usability testing to gather feedback, validate designs and iterate solutions to improve user experience What are they looking for: • Experience in UX Design and user research in B2B SaaS products, • Good understanding of user-centered design principles, interaction design and information architecture, • Proficiency in Figma to leverage design systems and streamline the design process If this sounds like a good match for you and you’d like to find out more details, please reach out to me on

About the Organisation Our client is a specialist insurer and reinsurer operating globally, with a focus on complex commercial and industrial risks. The business combines deep sector expertise with advanced use of data, analytics, and modern technology to deliver informed, efficient, and fair underwriting decisions. The company is in a period of significant growth and is committed to maintaining a collaborative, inclusive, and high-performing culture. Employees are encouraged to ask questions, explore new ideas, work openly with others, and operate with clarity and simplicity. The environment is dynamic, supportive, and designed to enable long-term career progression. Role Summary Our client is seeking an experienced Technical Architect with strong expertise in integration architecture, systems design best practice, and API design. The role will take technical ownership of the organisation’s enterprise technology landscape. This is a pivotal position within the company’s scaling and modernisation programme. The successful candidate will act as the bridge between internally developed underwriting platforms, the data lakehouse and analytics estate, and a range of commercial off-the-shelf (COTS) applications used across operations, finance, and support functions. You will be responsible for defining standards, blueprints, and governance for how core systems interact, ensuring security, performance, scalability, and data quality across the entire ecosystem. Key Responsibilities Integration Architecture • Define the enterprise-wide integration strategy, including the governance of integration patterns (such as synchronous APIs, event-driven architecture, asynchronous messaging, and batch ETL)., • Lead the design and documentation of internal and external APIs, ensuring best practice in RESTful design, versioning, and OpenAPI standards., • Work with Engineering and Data teams to standardise the technical approach for messaging, data extraction, transformation, and load (ETL/ELT) processes across underwriting, finance, accounting, and data warehouse systems., • Design secure, scalable, and auditable architectures for Generative AI, Agentic AI, and large language model (LLM) technologies., • Collaborate with data scientists, engineers, and developers to integrate and deploy AI models from development through to production., • Define security standards for all integration points, including OAuth, API key management, encryption, and network segmentation within an Azure environment. Platform Architecture • Provide technical input into new platform selections and project implementations, ensuring alignment with architectural principles., • Work closely with Engineering leadership on the design and evolution of the .NET and Angular technology stack, focusing on modularity, microservices, performance, and technical debt management., • Collaborate with the Data Architecture function to ensure alignment between the enterprise architecture and the organisation’s data platform, including optimisation of the Databricks environment., • Establish and govern non-functional requirements (NFRs) covering performance, scalability, resilience, and disaster recovery. Technical Design & Governance • Translate business strategy into an executable architecture roadmap., • Conduct architectural and code reviews to ensure alignment with agreed standards., • Present technical recommendations, solution designs, and trade-off considerations to both technical and non-technical stakeholders., • Serve as the final escalation point for complex technical design challenges and technology selections., • Mentor engineers across software, infrastructure, and data disciplines in architectural best practice and emerging technologies. Essential Experience & Skills • At least 10 years in senior technical roles, including 5+ years as an architect specialising in software development, integration, and technical architecture., • Advanced knowledge of API implementation, message queues (e.g., Azure Service Bus, Kafka), and event-driven architecture., • Deep expertise in RESTful API design, API gateways (ideally Azure API Management), and the OpenAPI specification., • Strong understanding of DevOps practices and hands-on experience with CI/CD tooling such as Azure DevOps or GitLab CI., • Extensive knowledge of the Microsoft Azure ecosystem, covering IaaS and PaaS, with particular experience in Azure Databricks, Data Factory, and ADLS Gen2., • Excellent communication and presentation skills, with the ability to influence diverse technical teams. Desirable Experience • Background in the insurance, reinsurance, or wider financial services industry., • Strong architectural understanding of the .NET/C# ecosystem and modern front-end frameworks (ideally Angular)., • Experience with data architecture concepts including relational, NoSQL, and data lake technologies., • Knowledge of cloud-based AI architectures, including LLMs, Generative AI, and Agentic AI., • Experience integrating proprietary systems with COTS finance or ERP platforms, particularly within general ledger, financial close, or regulatory reporting domains.

Contract Data Architect Location: London (Hybrid) Contract Length: 12 Months Rate: £800 per day (Outside IR35) Senior Data Architect (Enterprise Data & Analytics) La Fosse are supporting a large, complex organisation undergoing a major business separation and transformation programme, and are looking for a Senior Data Architect to take ownership of its enterprise data landscape. This is a senior, hands-on architecture leadership role, responsible for defining and governing how data is designed, integrated, validated and reported across the organisation - both during and after separation from a parent company. What you’ll be responsible for • Acting as the design authority for enterprise data architecture across finance, HR, payroll, planning and operational domains, • Assessing a complex, partly undocumented current-state data landscape and defining a clear target-state architecture, • Ensuring Day 1 and TSA continuity, while laying foundations for long-term modernisation, • Designing and governing data flows across SaaS platforms, cloud analytics environments and bespoke systems, • Establishing data governance, quality, lineage and standards that work across multiple vendors and platforms, • Leading data validation, reconciliation and cutover activities during separation, • Challenging and coordinating multiple SI and vendor teams, • Providing leadership and guidance to data engineers, BI developers and analysts What we’re looking for • Strong experience in enterprise data architecture across complex, multi-system environments, • Experience across modern cloud and SaaS data technologies, such as Oracle Fusion (Finance/HR/EPM), Microsoft Azure data platforms (Fabric, Synapse, Data Lake, Power BI), and enterprise integration tools (e.g. Azure Data Factory, Oracle Integration Cloud or equivalents)., • Proven involvement in carve-outs, demergers, TSAs or large-scale transformations, • Deep understanding of data integration, modelling, analytics and governance, • Experience working with cloud data platforms and SaaS applications (tool-agnostic mindset preferred), • Comfortable making architectural decisions with incomplete information and tight timelines, • Confident communicator able to translate complex data topics for senior stakeholders Why this role is different • You’ll be filling a critical gap in the organisation, • You’ll have genuine architectural authority, not just advisory input, • You’ll shape both short-term continuity and long-term data strategy, • You’ll work at the intersection of business risk, data quality and transformation This is an excellent opportunity for a highly experienced Data Architect to contribute to a high-profile carve-out programme within a leading organisation, operating on a 12-month contract at £800 per day, outside IR35.

Lead Software Engineer / Developer (Java Low Latency) London / WFH to £190k+ Do you have expertise with low latency Java programming combined with technical / team leadership skills? You could be progressing your career in a senior, hands-on leadership role at the Investment Management arm of a global bank. As a Lead Software Engineer you will head up a small, globally distributed team responsible for writing production quality Java code used for pricing and hedging FX instruments and overseeing the algorithms' performance intraday. You'll remain hands-on with architecture, design and coding within a modern microservices environment, collaborating with the business and providing technical guidance, code reviews and 1-2-1s to develop the engineers in your team and ensure successful delivery. Location / WFH: You'll be based in the London office and have flexibility to work from home once a week. About you: • You have a deep knowledge of Java including multithreading, • You have team leadership experience, including technical project leadership, code reviews, 1-2-1s, developing others, • You have experience in an Investment Management / Banking environment, any asset class is fine, although FX is preferred, • You have a strong appreciation of low latency systems and code optimisation to ensure speed, • You have excellent communication and collaboration skills, • You are degree educated in Computer Science or similar technical or numerate discipline What's in it for you: As a Lead Software Engineer you will receive a competitive package: • Salary to £190k, • Bonus, • Pension, • One day work from home per week, • Continuous training and career progression opportunities Apply now to find out more about this Lead Software Engineer / Developer (Java Low Latency) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Senior AI Engineer In office ~x2 days a week This is a newly created opportunity to join a well-established data organisation that is investing in advanced AI capabilities to enhance data intelligence, automate research processes, and bring new value to their users. The team is building out scalable AI systems from the ground up, combining deep software engineering rigour with cutting-edge machine learning and retrieval techniques. You will work at the intersection of data engineering, AI product development, and platform reliability. This role suits someone who enjoys building robust pipelines, working on modern LLM integrations, and applying AI tools to real-world knowledge domains. What You’ll Be Doing • Build and manage data ingestion pipelines capable of processing various document types, including text files, spreadsheets, structured JSON, and audio sources, • Design intelligent retrieval systems that combine structured chunking, advanced indexing, re-ranking methods, and hybrid search approaches, • Develop machine learning and LLM-based applications for tasks like information extraction, document classification, summarisation, and semantic querying, • Construct and maintain multi-step LLM workflows using tools such as LangChain, LangGraph, or similar frameworks that support tool usage and agent coordination, • Help define internal testing and validation processes to assess model accuracy, factuality, and relevance, • Collaborate closely with product, engineering, and data teams to embed AI capabilities into user-facing platforms, • Deploy solutions in an Azure-based cloud environment, using container orchestration, automation pipelines, secure key management, and observability tooling, • Enforce data security and responsible AI practices, including anonymisation, access control, and model auditability What They’re Looking For • Hands-on experience delivering production-ready AI or LLM solutions, ideally with 2+ years working in a similar role, • Strong Python development background and confidence using popular machine learning libraries such as PyTorch, TensorFlow, or scikit-learn, • Familiarity with vector-based storage and search systems (e.g. pgvector, Pinecone, Azure Search), as well as experience working with graph technologies like Neo4j, • Practical understanding of retrieval-augmented generation pipelines and how to implement structured outputs or link models to graph-based knowledge systems, • Track record of optimising and scaling AI systems to handle real-world loads with high reliability, • Knowledge of modern ML/LLM deployment workflows, including testing, infrastructure automation, and version control, • Exposure to frontend integration, particularly with frameworks like Angular, is a nice bonus, • Any experience in content-heavy industries such as publishing, research, or legal analytics is welcome but not required, • Strong communication skills with the ability to work across teams and clearly articulate complex technical ideas to a variety of audiences If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via (feel free to include a CV for review).

JOB PROFILE DESCRIPTION Kainos is recognised as one of the UK’s leading AI and data businesses, with a decade-long track record of delivering impactful, production-grade AI solutions for clients across government, healthcare, defence, and commercial sectors. Kainos is at the forefront of AI innovation, trusted by Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government’s AI Cyber Security Code of Practice implementation guide and we partner with leading organisations to ensure AI is deployed ethically, securely and with measurable business value. Our teams are at the cutting edge of AI research, and delivery, it is truly an exciting team to join Kainos as we further grow our AI capability. MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS: As a Senior AI Engineer at Kainos, you will deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical delivery, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning about new technologies and approaches, with talented colleagues that will help you to develop and grow. You will support your colleagues and more junior developers, providing direction support as you solve challenging problems together. MINIMUM (ESSENTIAL) REQUIREMENTS: • A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field., • Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection)., • Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc)., • Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker., • Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data., • Understanding of responsible AI principles, model interpretability, and ethical considerations., • Strong interpersonal skills and team working. DESIRABLE: • Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost)., • Experience with data storage for AI, vector databases, semantic search, and knowledge graphs., • Contributions to open-source AI projects or research publications., • Familiarity with AI security, privacy, and compliance standards e.g. ISO42001.

Seismic Developer Hybrid: London (1–2 days per week in the office) Paying up to £70,000 + benefits Permanent Experis are delighted to be supporting a well-established and reputable organisation as they continue to strengthen and modernise their digital client-facing capabilities. We are assisting them in the search for a Seismic Developer, a key role within the Brand & Digital Services division, responsible for designing and developing advanced Seismic LiveDoc solutions that enhance client experience, streamline document creation, and enable front-office teams to work more efficiently. This is a fantastic opportunity for someone with deep Seismic expertise who enjoys building automated, scalable, and visually polished documentation solutions. You'll join an experienced team of Seismic specialists in a highly collaborative environment, supporting a well-embedded and strategically important platform within the business. What You’ll Be Doing • Taking ownership of automated and customisable Proposal documents, ensuring quality, stability, and ongoing enhancement, • Designing and building advanced, scalable Seismic LiveDoc solutions that deliver automation and improved user journeys for Front Office teams, • Gathering and interpreting requirements from stakeholders across the business, translating complex briefs into well-structured technical solutions, • Testing, optimising, and refining Seismic assets, • Supporting integrations between Seismic and external systems (e.g., Salesforce, Snowflake) through APIs, dataloaders, and other technical processes, • Contributing to the wider Seismic team’s ongoing development work — including Seismic Hubs, compliance workflows, and platform architecture, • Providing analytics and insight to demonstrate the impact and adoption of Seismic developments, • Acting as a technical partner to Front Office, helping enhance document quality, consistency, and efficiency Experience Required • Deep hands-on experience with Seismic platform administration and LiveDoc creation, • Strong understanding of LiveSend, Digital Sales Rooms, Workflows, and Reference Content, • Confidence working with PowerPoint and Word, including the Seismic add-ins, • Strong Excel skills, and experience building and maintaining Seismic lists and data structures, • Ability to gather and understand complex requirements, managing expectations at all stakeholder levels, • Experience with SQL and Seismic variable development (including formula creation/editing), • Experience working with APIs and integrations between Seismic and external systems such as Salesforce or Snowflake

Senior Data Engineer Databricks / Azure / SQL London 2-3 days on-site £65,000 - £72,000 + 20% Bonus + Excellent Benefits Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business — from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You’ll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Required Qualifications • 6+ years of experience in data engineering, • 3+ years of hands-on experience with Databricks, • Strong working knowledge Azure, • Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. To apply for this role please email across your CV ASAP. Unfortunately sponsorship can’t be provided on this occasion, only candidates with full right to work can be considered