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Quality Assurance Lead Overview Senior QA Lead, accountable for technical QA excellence across projects and platforms. Owns automation, AI-enabled testing, non‑functional quality, and third‑party QA governance. Key Responsibilities • Lead end‑to‑end test delivery: strategy, planning, execution, reporting, and closure, • Own technical QA strategy (automation, AI, performance, data, non‑functional testing), • Define QA standards, frameworks, tooling, and test architecture, • Drive Playwright (C#) automation and enterprise regression tooling, • Embed QA within CI/CD using Azure DevOps, • Own AI QA roadmap and adoption of AI‑enabled testing tools, • Provide QA governance for third‑party vendors and external delivery, • Act as QA escalation point for quality risks, • Report test progress, metrics, risks, and outcomes to stakeholders Required Experience & Skills • 5–7+ years QA experience; 3+ years in a lead role, • Strong test automation coding (C#, .NET preferred), • Playwright or Tricentis Tosca experience, • CI/CD, DevOps, Agile & Waterfall SDLCs, • Enterprise systems, integrations, and vendor management, • Azure DevOps / TestRail (or similar ALM tools), • Strong stakeholder communication and leadership skills

Risk & Control Analyst (Enterprise Risk) 📍 London (Hybrid) 💼 Financial Services We are partnering with a leading financial services organisation to hire a Risk & Control Analyst (Enterprise Risk). This is a fantastic opportunity to join a high-performing Enterprise Risk function, supporting the delivery of an independent control testing programme across the business. The firm is currently undergoing a major technology transformation, with a strong focus on automation, process optimisation, and the adoption of tools such as Copilot AI. They are particularly keen to bring in someone who is passionate about leveraging technology to enhance risk and control processes. The Role Reporting into the Assurance & Testing Lead, you will play a key role in assessing control effectiveness and strengthening the organisation’s risk framework. Key responsibilities include: • Supporting the delivery of an independent control testing programme and maintaining the control inventory, • Analysing operational risk data to assess risk profiles and ensure accurate representation of controls, • Facilitating workshops with control owners to gather key information, • Documenting testing results clearly and agreeing outcomes with stakeholders, • Tracking findings, gaps, and remediation actions, including the design of new controls where required, • Contributing to the continuous improvement of assurance methodologies, reporting, and systems, • Identifying opportunities to enhance and automate processes, including the use of AI tools such as Copilot, • Maintaining accurate records across systems, reports, and testing documentation, • Providing analysis, QA reviews, and insights to support broader business initiatives, • Collaborating across teams while offering constructive challenge within the risk function About You We are looking for a proactive and analytical professional with a strong understanding of controls within a capital markets environment, alongside a genuine interest in technology-driven transformation. Key requirements: • Experience in independent control testing and/or controls assessment within financial services, • Strong knowledge of financial products, accounting, and/or IT controls, • Understanding of regulatory expectations, including UK SOX / assurance frameworks, • Excellent communication skills, with the ability to present complex information clearly, • Strong analytical and investigative capabilities (e.g. data analysis, testing, interviewing), • Ability to engage, influence, and challenge senior stakeholders, • Highly organised, with the ability to manage multiple priorities and deadlines, • Interest in automation, data tooling, or AI solutions (e.g. Copilot) to improve efficiency and controls Preferred Background • Degree educated (ideally in Accounting, Finance, or a related field), • Background in Audit (Big 4 or equivalent) is highly desirable Personal Attributes • Detail-oriented with a structured approach, • Curious mindset with a desire to continuously learn, • Strong problem-solving skills with a practical, solutions-focused approach, • Collaborative, adaptable, and comfortable working both independently and as part of a team

Senior Backend Engineer (Node.js) | High Impact Greenfield Trading | £130k + Bonus + Benefits | London Hybrid We are partnered with an energy trading client working on one of the most unique roles in a long time. You are not required to have Financial Services experience but an interest would definitely help in making the job easier to understand. A cross-asset trading house are expanding on one of their start up teams. This team is being dubbed the engine room ⚙️, incorporating up to 10 engineers, as well as a senior AI/ML engineers, as this platform will be producing Predictive Pricing calculations and tooling across the whole business. This is an opportunity to work closely with stakeholders and the business to deliver scalable solutions as the business went through a ton of acquisitions last year and requires those platforms onboarded. Super high impact working at a very fast pace🏃within a larger organisation does not get better than this! As one of the Engineers for this stream, you will have involvement scoping, building and deploying the Enterprise utilities platform. Most of all, you will be releasing their AI tooling system to the business and utilise event driven architecture to make sure that the systems are scalable 📈 The business has been growing at a rapid rate but this part of the business sits on its' own like a start-up area of the business created by the CTO to help them to make the engineering teams more successful. 🤖 As part of the team, there are dedicated AI/ML engineers, which you will be working very closely with, integrating AI/ML into the Trading platform, which will spot data trends across the firm, predicting better Pricing Models, new business opportunities & highlight better ways to use data. Therefore, having an interest in AI is necessary and encouraged. 💰This role is signed off up to £130,000 + a very strong bonus potential 📍Located just outside St Paul's Station - 2-3 days per week in the office 🧑 💻Node.Js, TypeScript, AI exposure is a plus, event driven architecture (e.g. Kafka) If interested, feel free to apply with your CV or email me at Senior Backend Engineer (Node.js) | High Impact Greenfield Trading | £130k + Bonus + Benefits | London Hybrid

Analytics Engineer – 12 month FTC Up to £67,000 London (hybrid) This is a great opportunity for an Analytics Engineer to join a growing Analytics Engineering function at an important stage of its development. You will work on a large-scale Lakehouse programme, building high‑quality analytics layers and developing your technical skills while contributing to meaningful data products used across the business. The Company: They are a large, complex organisation continuing to invest heavily in their enterprise data platform. Analytics plays a key role in decision‑making, with ongoing growth in engineering capability and the Lakehouse environment. You’ll join a collaborative and supportive analytics function that works closely with Engineering, BI and the wider business, offering exposure to modern data tooling and best practices in a scaled environment. The Role: • Build and maintain curated (Gold) data models within a Lakehouse architecture, • Develop analytics‑ready datasets that power trusted reporting and dashboards, • Translate business requirements into well‑structured SQL and PySpark transformations, • Contribute to data modelling decisions across multiple business domains, • Apply data quality checks, testing and performance best practices to pipelines, • Work within existing CI/CD processes and contribute to improving engineering standards, • Collaborate closely with Data Engineers, BI teams and stakeholders to deliver robust data products, • Learn from and be supported by more senior Analytics Engineers within the team Your Skills & Experience: • Commercial experience as an Analytics Engineer or in a similar data-focused role, • Solid data modelling skills, including experience with dimensional models, • Hands‑on experience writing PySpark in a Lakehouse or big data environment, • Strong SQL skills for building and maintaining transformation logic, • Experience working with Databricks or similar modern data platforms, • An engineering mindset with attention to data quality, reliability and maintainability, • Comfortable working with both technical teams and business stakeholders, • Keen to develop your technical depth and grow within an analytics engineering function

Design Director, Publishing & Media Platform London, 4 days per week We’re hiring a Design Director to lead a global publishing and media platform that powers multiple high-profile consumer brands and reaches millions of users daily. This role sits at the centre of how content is created, managed, and experienced. It underpins the full content lifecycle, from editorial planning and tooling through to the end user experience, effectively acting as the engine that enables content to move from idea to live across multiple brands. You’ll be responsible for shaping a platform used by thousands of editors, while also defining how content is consumed across a portfolio of distinct brand experiences. This is a critical leadership role, balancing system thinking with craft, and platform consistency with brand expression. What you’ll be doing • Leading the design of a large-scale publishing and media platform, including CMS, content planning tools, front end templates, and design systems, • Driving a major front end redesign and rebuild, improving performance, accessibility, and overall user experience, • Defining how a centralised platform supports multiple brands, setting principles for what is standardised vs what can be customised, • Working closely with Product and Engineering on architecture, performance, and technical trade-offs, • Managing and developing a team of 6 – 10 designers, with a role split across leadership, hands-on direction, and strategic input (roughly 2/3 team leadership, 1/3 strategy), • Bringing structure and clarity in an environment that is evolving toward more AI-enabled, flexible ways of working What they’re looking for • Experience leading design on complex platform or system-level products, • Strong front end product thinking, not just internal tools or back office systems, • Ability to connect design decisions to user outcomes and business impact, • Comfortable working closely with engineering, with a good understanding of technical constraints and trade-offs, • Experience in multi-brand or multi-tenant environments is highly relevant, • Background in content, media, or storytelling products is ideal, but not essential, • A system thinker who remains grounded in the end user experience Context The organisation is undergoing a shift toward more AI-native product development, with smaller, more flexible teams and a move back toward brand-led ownership. There’s a real opportunity here to shape how platform and brand experiences coexist, and to define the next phase of how content is created and consumed at scale. Fancy learning more, apply below! Ben

I’m supporting a leading financial services client as they continue to strengthen their AI and automation capabilities. They’re investing in secure, scalable solutions across the business, and we’re now looking for an AI & Automation Specialist to help drive that forward. We’re looking for a hands‑on AI & Automation Specialist to help them turn great ideas into secure, scalable, production‑ready solutions. You’ll be building automations and agent‑based tools using Microsoft 365 technologies, shaping delivery patterns, and making sure every release is safe, supportable, and adds real value. What you’ll be doing • Turning prioritised use cases into live automation and agent solutions, • Building and enhancing CoPilot Studio agents and Power Automate workflows, • Choosing the right technical approach for each use case and creating patterns others can reuse, • Embedding secure‑by‑design principles; permissions, access boundaries, least privilege, • Producing production‑ready assets: logging, error handling, documentation, handover packs, • Working closely with Security, Cyber and Technology Risk to stay aligned with policy and controls, • Supporting testing, defect resolution and early‑life support, • Helping define measurable outcomes and contributing to benefits tracking What you’ll bring • Strong experience with Microsoft 365 automation tools (Power Automate, CoPilot Studio), • Solid understanding of identity, access and permissions in M365, • Knowledge of release standards; rollback, monitoring, documentation, supportability, • Strong grasp of data access, permissions and information‑risk concepts, • Understanding of Power Platform governance (environments, DLP, connector risk), • Familiarity with Microsoft Purview (labels, DLP, audit), • Awareness of SharePoint information architecture and how it shapes automation outcomes Candidate experience Essential: • Delivered production‑grade automations (approvals, data processing, notifications), • Built or configured conversational/agent solutions in a governed environment, • Integrated M365 tooling with business systems via approved connectors/APIs, • Worked in regulated environments with strong audit and control expectations, • Translated business needs into technical solutions and iterated from MVP to stable release, • Implemented secure access patterns and avoided oversharing risks, • Produced supportable solutions with documentation, logging and error handling, • Supported test cycles, resolved defects and provided early‑life support, • Shaped solution designs for AI and automation use cases, • Produced clear, decision‑ready documentation, • Transitioned solutions into BAU successfully, • Managed complex or challenging technical scenarios Desirable: • Experience with Power Apps, • Exposure to CI/CD approaches for Power Platform, • Understanding of value measurement (time saved, cycle time, quality improvements)

Quantitative trading firm is looking to hire a Junior Cyber Security Python Developer to join a high-performing security engineering team within a leading technology-driven environment. This is an excellent opportunity for an early-career engineer with strong Python skills and an interest in cybersecurity to gain hands-on experience building tools that protect critical systems and infrastructure. You’ll work alongside experienced engineers and security specialists, contributing to the development of automation, detection tooling, and data-driven security capabilities. Key Responsibilities • Support the development of Python-based tools for cybersecurity and monitoring, • Assist in automating manual security processes within SOC and engineering workflows, • Help build integrations between systems (e.g. logs, APIs, security tools), • Contribute to log analysis and event investigation, • Work with data to identify unusual or suspicious behaviour, • Assist with the development and tuning of detection rules, • Support incident response and troubleshooting activities, • Collaborate with teams across security, infrastructure, and engineering, • Continuously learn and develop technical and security knowledge Required Skills & Experience • 1–3 years of experience in Python development (or strong academic + project experience), • Basic understanding of cybersecurity concepts (e.g. threats, vulnerabilities, attacks), • Familiarity with networking fundamentals (TCP/IP, DNS, HTTP/S), • Comfortable working in Linux or Unix environments, • Experience working with data (parsing, scripting, APIs, or logs), • Strong problem-solving skills and willingness to learn Desirable / Nice to Have • Exposure to security tooling such as SIEM, EDR, or log management platforms, • Experience with any of the following Python libraries/tools:, • scapy / pyshark / dpkt (network traffic analysis), • python-evtx (Windows logs), • yara-python (malware detection basics), • Understanding of cloud platforms (AWS, Azure, or GCP), • Personal projects, labs, or CTF-style challenges related to security, • Interest in areas such as threat detection, automation, or security analytics What They’re Looking For • A curious, motivated engineer with a genuine interest in cybersecurity, • Someone who enjoys learning by building and solving problems, • Strong attention to detail and a methodical approach, • Good communication skills and willingness to collaborate A hybrid working environment comprising 4 days on-site at a central London office.

About Cybanetix Cybanetix is a fast-growing UK cybersecurity specialist providing managed security, advisory, and compliance services through our Security Operations Centre (SOC) and partner-led technology ecosystem. We help organisations secure their business, people, and networks from evolving threats — with a blend of AI-augmented defence, expert analysts, and proactive service delivery. At Cybanetix, we invest in our people and foster a collaborative, supportive working environment where innovation and service excellence thrive. About the Role We are seeking a Service Delivery Manager (SDM) to join an established dedicated client team. You will be a key figure in ensuring that Cybanetix delivers exceptional operational performance for our cybersecurity services to our client. You will manage day-to-day delivery of the account, uphold service quality, drive continual improvement, and act as the primary point of contact between internal teams and the client. This role is ideal for someone with prior dedicated service delivery experience in IT services or managed security services who thrives in a technically complex and client-centric environment. Responsibilities · Lead and own end-to-end service delivery performance across assigned dedicated client. · Ensure service commitments, SLAs and KPIs are achieved and clearly communicated to stakeholders. · Coordinate across SOC operations, security engineering, support teams, and third-party partners to resolve issues promptly. · Manage client engagement through regular service reviews, continual service improvement, escalations, and reporting. · Contribute towards continuous innovation, improvement and optimisation of delivery processes. · Support onboarding of new products and services, and transition from implementation to BAU. · Work with the virtual dedicated team to ensure alignment between service delivery and client expectations. · Monitor service quality metrics and contribute to enhancements in delivery tooling and process playbooks. What we’re looking for Must have; · Minimum 3 years’ experience in an operational delivery role within IT/managed services. · Proven ability to manage service delivery with measurable SLAs/KPIs. · Comfortable coordinating cross-functional teams and articulating technical issues to non-technical stakeholders. · Strong analytical, organisational, and communication skills. · ITIL Foundation (at a minimum); experience with ITIL principles, incident / problem / change management, and reporting frameworks. · Resilient under pressure and adept at prioritisation. · Familiarity with ITSM tooling. · Eligibility for or existing SC clearance. Nice to have / bonus to have; · Prior dedicated account role experience · Operational delivery in cybersecurity sub-sector · Confidence in uncomfortable and unexpected verbal and in-person communications with clients. · Experience working with security monitoring, incident response, SOC, SIEM/XDR solutions. · Experience using PowerBI What You’ll Bring · A client-first mindset with a commitment to operational excellence. · Proactive issue resolution and escalation management. · Ability to translate complex technical information into concise status reporting. · Drive for continuous improvement and service innovation. What This Role Gives You · Competitive benchmarked industry salary. · Hybrid working model with flexibility. · Comprehensive benefits package and career development opportunities. · Being part of a highly technical, mission-driven team in a rapidly growing sector. · Access to market-leading security technologies and professional development.

Quantitative Analyst (Credit) – Elite Multi-Strategy Hedge Fund – London | Up to £200k TC I'm working with a leading multi-strategy hedge fund with tens of billions in AUM - one of their specialist credit trading desks is looking for a strong quant to join the team. • A globally recognised Hedge Fund, • Elite, fundamentals-driven credit desk operating within a much larger multi-strat platform, • Institutional-grade research infrastructure and serious resource behind every trade They need a strong Quantitative Analyst to sit at the intersection of data, modelling, and live trading workflows across credit markets. What you'll be working on: • Deep data analysis across large, complex datasets - identifying signals, trends, and anomalies, • Developing tooling to improve trading and PM workflows — dashboards, signals, risk tools, • Collaborating directly with portfolio managers, traders, and risk teams on research and strategy, • Building and testing quantitative models and algorithms to support live credit trading strategies, • Contributing to idea generation and continuous improvement of the research platform What they're looking for: • Exceptional Python skills — Pandas, NumPy, and the wider data science stack, • Strong quantitative fundamentals — you can build, test, and maintain complex models independently, • Solid data manipulation experience — cleansing, preprocessing, and working with large datasets, • Familiarity with credit products — prior experience at an asset manager or IB a strong plus, • Clear communicator — equally comfortable presenting to quants and non-technical stakeholders What's on offer: • Up to £200,000 total compensation, • Access to the resources and infrastructure of a multi-billion dollar global platform, • Lean, high-ownership desk culture within a much larger, well-capitalised operation, • London-based, with exposure to a truly global investment platform A rare chance to join an elite credit desk inside one of the world's most respected hedge funds — with real research ownership and serious comp to match.

AI Engineer -- Agentic AI Systems LEC AI Central London (Knightsbridge) | Full-Time | 5 Days On-Site About LEC AI LEC AI is the artificial intelligence division of London Export Corporation, a British trading group established over 73 years ago operating across multiple sectors and international markets. We are building production AI systems that serve as the operational brain for the organisation -- multi-agent architectures that handle memory, reasoning, task management, document intelligence and cross-departmental coordination in real time. This is not a research lab. We ship production systems, iterate fast, and operate with the intensity of a startup backed by the resources and commercial reach of an established international group. The Role We are looking for an AI Engineer with 2-5 years of engineering experience who can build end-to-end: from designing agentic architectures to deploying them on cloud infrastructure, from writing RAG pipelines to wiring up tool-use protocols, from prompt engineering to system design. You will work directly with senior leadership and the founding technical team. This is a small, high-trust environment where your work ships to production the same week and is used daily by the people running the business. This role is for someone who thrives in ambiguity, moves fast when requirements change daily, and would rather build something that works today than plan something perfect for next quarter. You will be a core builder -- not a ticket-taker. You will own entire systems, make architectural decisions, and ship directly to production. If you need someone to tell you what to do every morning, this is not the role for you. Key Responsibilities Agentic AI Systems • Design, build and maintain multi-agent architectures with tool calling, memory, reasoning loops and inter-agent communication, • Implement agentic loops (prompt assembly, LLM call, tool execution, iteration) with circuit breakers and observability, • Build and extend tool registries, function calling schemas, and execution pipelines, • Work with tool-use protocols like MCP for interoperability across agents and services RAG & Memory Systems • Build and optimise retrieval-augmented generation pipelines across structured and unstructured data, • Implement hybrid memory stacks using things like vector databases, knowledge graphs, session caching and object storage, • Design embedding pipelines, chunking strategies, and semantic search with re-ranking, • Build document ingestion systems that process PDFs, spreadsheets and unstructured documents into searchable knowledge Real-Time & Multi-Modal Systems • Build streaming data pipelines, live communication channels and event-driven architectures, • Work with audio processing, speech-to-text and multi-modal data pipelines, • Design systems that handle both batch and real-time workloads in production Software Engineering & System Design • Write production backend and frontend code (like Python, JavaScript/TypeScript, React), • Design APIs, data models, and system architectures that scale, • Understand trade-offs between simplicity and abstraction -- build what is needed, not what is theoretically elegant, • Write code that other people can read, debug and extend, • Implement production security practices -- access control, data isolation, PII handling and authentication flows Deployment & Infrastructure • Deploy and manage containerised services on cloud infrastructure, • Set up CI/CD, monitoring, logging and observability, • Manage databases and storage in production (like Postgres, graph databases, caches, S3-compatible stores), • Handle DNS, reverse proxies, SSL, tunnels -- the full stack of getting things live and keeping them live Rapid Prototyping & AI-Assisted Development • Use AI-assisted development tools effectively to move at speed, • Prototype new capabilities quickly, validate with real usage, then harden, • Comfortable building MVPs in hours, not weeks Candidate Profile The ideal candidate has 2-5 years of engineering experience and is a builder who ships. You combine deep AI/LLM knowledge with real software engineering discipline and the operational grit to deploy and maintain production systems. Must have: • 2-5 years of software engineering experience, with meaningful time spent on AI/LLM systems, • Hands-on experience building agentic AI systems (not just calling an API and returning the response), • Strong understanding of RAG architectures, vector databases and semantic search, • Production software engineering skills -- you have deployed and maintained real systems, • Experience with containerisation, Linux, and cloud deployment, • Comfort with rapidly changing requirements and ambiguity, • A bias toward action -- you try things, break things, fix things, ship things Strong signals: • You have built multi-agent systems or AI orchestration pipelines, • You understand tool-calling protocols, MCP, and LLM integration patterns, • You have designed memory or knowledge management systems for AI, • You have experience with knowledge graphs, • You have built agentic evaluation frameworks -- measuring agent accuracy, tool-use correctness, hallucination rates, task completion, and regression testing across prompt or model changes, • You contribute to or maintain open-source AI tooling, • You have built full-stack applications with AI backends, • You can explain system design trade-offs clearly and make pragmatic choices What we are NOT looking for: • Pure researchers with no production deployment experience, • Engineers who need stable, well-defined requirements to function, • People who over-architect and under-deliver, • Anyone who thinks AI engineering is just prompt engineering What Success Looks Like Within the first 6 months, you will have: • Built and shipped a complete new agent or system end-to-end -- something with a measurable output that the business uses, • Taken ownership of core AI systems and delivered tangible improvements to production, • Picked your own priorities from the roadmap and executed with full autonomy, • Deployed new integrations or capabilities that are live and running without hand-holding, • Contributed original ideas to the architecture, not just implemented what was handed to you Why Join This is a ground-floor opportunity to build the AI infrastructure of an international trading group. You will not be maintaining someone else's system -- you will be architecting and building it. This is a founding-stage AI team inside an established international group. You will not be engineer #200 maintaining someone else's decisions. You will be one of the first builders shaping the architecture, the culture, and the direction of the AI division from the ground up. The pace is startup. The backing is institutional. The problems are real and commercially meaningful. As we grow, early team members will grow with us -- into technical leads, heads of engineering, or whatever shape makes sense based on what you build and how you build it. If you want to build AI systems that actually run a business -- not demos, not prototypes, not pitch decks -- and you want the kind of ownership and trajectory that only comes from being there early, this is the role. How to Apply Send us your CV along with links to practical work you have done -- GitHub repos, deployed projects, open-source contributions, technical blog posts, or anything that shows what you have built. We care far more about what you have shipped than where you studied or what certifications you hold. A strong portfolio of real work is the single best indicator we use to shortlist candidates. If you have built something interesting, show us.

Role Title Principal Forward Deployed Engineer – AI & M&A Location London, United Kingdom (Hybrid) Employment Type Permanent Role Overview We are seeking a highly experienced Forward Deployed Engineer (FDE) to partner closely with executive stakeholders, deal teams, and client leadership to deliver high‑impact AI‑driven solutions in Mergers & Acquisitions and complex enterprise transformation contexts. This role is ideal for a senior technologist with 20+ years of experience, combining deep hands‑on engineering capability with strategic advisory skills. You will sit at the intersection of AI, data, product, and business, translating ambiguous commercial objectives into deployable, production‑grade solutions that directly support transaction strategy, value creation, and post‑merger integration. Key Responsibilities Client & Stakeholder Engagement • Act as a trusted technical advisor to C‑suite, deal teams, and senior enterprise stakeholders during pre‑deal, due diligence, and post‑merger integration phases, • Partner with investment teams, corporate development, and strategy functions to shape AI‑led M&A use cases, • Lead forward deployment of AI, data, and analytics solutions directly within client environments, • Design and implement end‑to‑end solutions covering data ingestion, modeling, orchestration, and deployment, • Rapidly prototype, iterate, and productionise AI‑enabled workflows under tight deal timelines, • Apply machine learning, generative AI, and advanced analytics to support M&A use cases such as:, • Commercial and operational due diligence, • Synergy identification and value leakage analysis, • Technology landscape rationalisation, • Post‑merger performance monitoring and integration tracking, • Provide hands‑on technical leadership across architecture, engineering standards, and best practices, • Guide teams on scalable, secure, and compliant system design, • Influence platform, tooling, and data strategy decisions at an enterprise level Essential • 20+ years’ experience in technology, including senior engineering, architectural, or technical leadership roles, • Proven experience working as a Forward Deployed Engineer, Principal Engineer, Solutions Architect, or similar client‑facing technical role, • Strong track record delivering AI‑driven solutions in real‑world, production environments, • Demonstrated experience supporting M&A, private equity, corporate development, or large‑scale transformation initiatives, • Deep hands‑on expertise with:, • Python and modern data/AI engineering stacks, • Data pipelines, distributed systems, and cloud platforms (AWS, Azure, or GCP), • Machine learning and/or Generative AI workflows, • Strong understanding of how technology enables value creation in M&A contexts, • Experience communicating technical trade‑offs, risks, and ROI to executive and investment audiences, • Experience in consulting, private equity–backed environments, or high‑growth technology companies, • Background in data‑intensive platforms, AI products, or decision intelligence systems, • Exposure to regulated industries (e.g. financial services, insurance, healthcare), • A senior, high‑impact role operating at the intersection of technology, AI, and corporate strategy, • Opportunity to influence mission‑critical M&A decisions using cutting‑edge AI and data solutions, • Competitive compensation and benefits package, • Long‑term career growth in a technically ambitious, client‑focused environment, • London‑based role with flexible working arrangements

We’re working with a large enterprise client to appoint an AI Engineering Manager to lead the delivery of enterprise-scale AI solutions, with a focus on LLMs, AI agents, and GenAI platforms. This is a technical leadership role—not hands-on coding day to day, but requiring sufficient depth to challenge design decisions, assure quality, and guide senior engineers. The Role You’ll be responsible for building and leading an AI engineering function, owning delivery from early experimentation through to production deployment, and partnering closely with architecture, product, and governance teams. Key Responsibilities • Own the technical direction of LLM and AI agent initiatives, • Lead and mentor AI engineers delivering enterprise-scale solutions, • Translate business problems into robust AI architectures, • Ensure AI systems are secure, scalable, and production-ready Required Experience • Proven leadership in managing technical teams and complex delivery, • AI delivery experience, including GenAI, LLM-based systems, AI agents, or conversational AI, • Strong technical foundation in software engineering principles (Python preferred), • Business-focused mindset, able to evaluate AI initiatives through an ROI lens, • Cloud and AI knowledge, including LLMs, RAG, prompt engineering, and modern AI tooling, • Solid Python knowledge, • Familiarity with Claude and similar frontier models, • Production experience using LangChain, • PhD, MSc or BSc in a AI/ML or similar discipline Desirable • RAG architectures, embeddings, and vector databases, • Prompt management, evaluation, and observability, • Cloud deployment (AWS, Azure, or GCP), • Enterprise concerns: security, governance, and cost control, • Strong stakeholder communication and technical decision-making

Senior Machine learning Scientist About the Role: We’re building AI systems that can reason through biology and accelerate drug discovery. As part of our Turing team, you’ll develop LLM- and agent-based tools that help scientists explore data, generate hypotheses, and make better decisions — faster. This is not a typical data science role. It’s about turning cutting-edge AI into real scientific impact. Responsibilities • Build and deploy LLM-powered systems (RAG, agents, workflows) for scientific use, • Design tools that support ML scientists and researchers in their day-to-day work, • Work with large, messy biomedical datasets (omics, literature, clinical data), • Create multi-step AI workflows that automate research and reasoning, • Develop evaluation frameworks to ensure models are accurate and reliable Core: • Experience building with LLMs (GPT-style models, RAG, agents, tooling), • Strong Python + data/ML engineering skills, • Experience working with real-world data systems (not just notebooks), • Experience in biotech, healthcare, or scientific data, • Background in multi-step workflows or agent-based systems, • Experience evaluating or benchmarking ML/AI systems Why This Role • Work at the intersection of AI + science + real-world impact, • Build systems that go beyond chat — AI that reasons and acts, • Collaborate in a deeply cross-functional, high-calibre team, • Your work directly contributes to discovering new medicines

Company: Albany Beck Engagement: Permanent (Immediate Start) Location: London (Hybrid) Company: Albany Beck About Albany Beck Albany Beck is a consultancy dedicated to delivering tailored talent and operational solutions to our clients across Financial Services and beyond. We partner with top-tier financial institutions to deliver expert consulting and transformation services. Our collaborative approach places experienced professionals in high-impact roles, helping our clients to navigate complex challenges and realise strategic outcomes. Role Overview We are looking for multiple open-minded and adaptable Junior QA Engineers to join our Testing Practice, with immediate deployment opportunities onsite with one of our largest Financial Services clients, based in London. These roles are ideal for someone who enjoys understanding how large-scale platforms work end-to-end, is naturally curious, and thrives in environments where continuous learning is essential. Previous experience with specific vendor platforms is not required. Instead, we are looking for strong problem-solving ability, systems thinking, and the capability to quickly absorb new concepts, technologies, and domain knowledge. Key Responsibilities • Design, execute, and maintain quality assurance activities across complex systems and integrations, • Work closely with developers, business analysts, and stakeholders to understand system behaviour, requirements, and impacts, • Identify, investigate, and clearly articulate defects, risks, and quality concerns, • Contribute to the continuous improvement of QA processes, tooling, and ways of working, • Build a strong understanding of the end-to-end system landscape, ensuring changes are assessed holistically, • Support testing across multiple layers, including system, integration, and data flows, • Continuously learn new tools, technologies, and domain knowledge relevant to the platform Key Skills and Experience • Open-minded and adaptable, comfortable working in evolving and complex environments, • Strong systems-thinking mindset, with the ability to understand how components interact, • Natural problem solver with strong analytical skills and attention to detail, • Genuine desire to learn and develop new technical and domain skills, • Ability to balance big-picture thinking with detailed validation, • Strong communication skills with the confidence to ask questions and challenge assumptions, • Able to absorb information quickly and apply it effectively Desirable Experience, • Quality Assurance experience within complex or enterprise-scale systems, • Exposure to Financial Services, trading platforms, or regulated environments, • Experience with automation testing, data validation, or integration testing, • Familiarity with Agile or iterative delivery models

We are partnering with one of London’s most selective and highest-performing quantitative investment funds to appoint a Senior Quant Software Developer to their core systematic trading group. This is a confidential mandate for a team renowned for world-class engineering standards, scientific rigour, and a culture built around high impact and low ego. The successful candidate will work at the intersection of quantitative research, data engineering, and high-performance software development — with code that moves rapidly from prototype to production and directly influences trading performance. The Role As a Quant Developer, you will: • Collaborate closely with quant researchers to productionise models and design scalable research/tooling infrastructure, • Develop high-performance, robust code across Python and C++, • Build and maintain data pipelines, research platforms, and components of the live trading stack, • Optimise system performance, reliability, and throughput across large-scale datasets, • Contribute to architectural decisions across the full research-to-execution workflow What We’re Looking For • Exceptional programming skills in Python and/or C++, with a focus on writing clean, performant production code, • Strong understanding of core CS fundamentals (algorithms, distributed systems, profiling, testing), • Experience in a systematic trading environment or quantitative data domain is highly advantageous, though not essential, • A problem-solver with the ability to work collaboratively in a highly technical, research-driven environment, • Humility, curiosity, and a desire to build systems that have real, measurable impact, • Computer Science or STEM degree from a good university Why This Role Stands Out • Opportunity to join a top-performing fund with a deeply technical culture, • Work directly with elite researchers and developers on complex, meaningful problems, • Highly competitive compensation with significant performance-based upside, • Exposure to world-class infrastructure, datasets, and compute environments, • A role where strong engineering truly drives investment performance

The Opportunity We’re partnering with a high-performance quantitative technology firm building front-office pricing and risk infrastructure used directly by portfolio managers and traders at leading hedge funds and asset managers. This is not a support or library role. You will be developing production pricing and risk analytics that drive live trading decisions, with direct exposure to front-office users and real PnL impact. If you're currently in a bank and want: • Closer proximity to trading and PMs, • Faster iteration and less bureaucracy What You’ll Do • Build and enhance pricing models and analytics for Interest Rate Derivatives (swaps, curves, discounting frameworks), • Deliver low-latency, production-grade pricing and risk services used in live trading environments, • Work directly with portfolio managers, traders, and quant researchers to shape analytics and tools, • Contribute to a high-performance cross-asset platform (Rates, FX, Credit, Equities, Commodities), • Improve performance, scalability, and robustness of real-time systems, • Develop research tooling and workflows in Python to accelerate quant iteration, • Help evolve a modern cloud-native (AWS) analytics stack Tech Environment • C# (core platform), integrated with high-performance C++ analytics libraries, • Python for research, prototyping, and user workflows, • Distributed systems running on AWS, • Focus on performance, scalability, and clean architecture What We’re Looking For We’re particularly interested in candidates currently in front-office or front-office-aligned quant/dev roles within banks who want to move closer to end-users and decision-making. • 3+ years in a front-office quant development or strat role, • Strong experience with C# and Python (C++ highly beneficial), • Solid understanding of Interest Rate Derivatives:, • Swaps, yield curves, discounting, • Pricing frameworks and risk measures, • Strong software engineering fundamentals:, • Data structures, algorithms, performance optimisation, • Background in Quantitative Finance, Mathematics, Physics, or similar Why Make the Move from a Bank? • Direct impact on trading decisions rather than supporting large legacy systems, • Tighter feedback loop with traders and PMs, • Less siloed environment, more ownership across the stack, • Exposure to buy-side workflows and multi-asset strategies, • Work on a modern, cloud-native platform, not legacy infrastructure What Makes This Role Stand Out • Front-office analytics used daily by top-tier hedge funds and asset managers, • A combination of quantitative modelling + production engineering, • Opportunity to work across multiple asset classes, • High-calibre, low-ego team with strong technical depth, • Competitive compensation aligned with impact Who This Suits This role is ideal for a front-office quant developer in a bank who: • Enjoys building robust, production-grade analytics, • Values clean, high-performance systems, • Prefers ownership and impact over process and hierarchy

Head of Cloud Engineering - Capital Markets Permanent, 3 days in office in London Role Summary The Head of Cloud Engineering, Capital Markets is accountable for the strategy, design, build, governance, and operation of Capital Markets cloud platforms across AWS, Azure, and GCP. This role owns the end-to-end cloud platform life cycle-from reference architecture and guardrails, through secure delivery and operations-ensuring platforms meet regulatory, cyber, resiliency, and low-latency trading requirements. This leader operates at the intersection of engineering depth, governance rigor, and executive accountability, and builds a high-performing cloud engineering organization capable of operating in a regulated Capital Markets environment. Key Accountabilities 1. Cloud Platform Ownership & Architecture • Own the target-state architecture for Capital Markets cloud platforms (AWS, Azure, GCP), including landing zones, connectivity, identity, security, and shared services, • Define and maintain reference architectures and approved patterns for trading, analytics, and client-facing 2. Governance, Risk & Audit Accountability • Act as the accountable executive for cloud governance across Capital Markets environments, • Own intake, disclosure, and ongoing engagement with the Cloud Governance Committee (CGC) 3. Security, Resiliency & Control Integration • Embed security-by-design across all cloud platforms, integrating enterprise tooling (eg, Wiz, Qualys, CrowdStrike, logging, IAM), • Ensure consistent vulnerability, configuration, and identity life cycle management across all environments, • Ensure platforms meet criticality and resiliency expectations for Capital Markets workloads 4. Platform Engineering & Operations • Build and operate a cloud platform engineering model that abstracts complexity from application teams, • Own day-to-day operational reliability, incident response, and root cause remediation for cloud platforms 5. Team Build & Technical Leadership • Build, scale, and lead a dedicated Capital Markets Cloud Engineering organization, • Provide hands-on technical leadership 6. Stakeholder & Executive Engagement • Senior leadership experience owning cloud platforms in regulated financial services environments, • Deep hands-on expertise across AWS, with working knowledge of Azure and GCP in enterprise contexts, • Proven experience addressing cloud governance, audit, and risk findings (CGC, GRCE, SRM, MCP or equivalent), • Strong background in platform engineering, IaC, policy-as-code, and automation, • Experience supporting low-latency, high-availability, mission-critical workloads, • Ability to operate credibly with executives, auditors, and engineering teams alike, • Experience in Capital Markets

Manager, Data Science & Marketing Effectiveness London £75,000 to £90,000 + Bonus + Benefits We are representing a leading global consultancy in Marketing Effectiveness and AI-powered solutions, looking to hire a Manager, Data Science & Marketing Effectiveness to join their London team. This is a key role combining advanced analytics, client leadership, and project delivery. We are looking for someone with strong econometrics or MMM expertise, a consulting mindset, and the ability to translate data into real business impact. The role You will lead end-to-end Marketing Mix Modelling programmes while managing teams and delivering strategic insights to senior stakeholders. Responsibilities • Lead MMM and marketing effectiveness projects from scoping through to delivery, • Translate complex modelling outputs into clear, actionable business recommendations, • Manage multiple client accounts and build strong stakeholder relationships, • Oversee data quality, model validity, and project governance, • Support business development activities including proposals and pitches, • Identify opportunities to optimise marketing performance and ROI, • Mentor and develop team members, ensuring high-quality delivery, • Contribute to methodology, tooling, and internal best practice Technical background Experience across some of the following: • Marketing Mix Modelling (MMM) or econometrics, • Python, R, or SQL, • Regression, Bayesian methods, and advanced statistical modelling, • Data manipulation, pipelines, and large datasets, • Data visualisation and storytelling, • Cloud platforms such as Azure or Databricks (desirable) About you • Strong communicator with experience engaging senior stakeholders, • Proven ability to lead projects and manage priorities, • Commercially aware with a consulting mindset, • Hands-on with strong analytical capability, • Collaborative, proactive, and solutions-focused, • Experience mentoring or managing team members What’s on offer • High-impact role with international clients, • Strong blend of technical and strategic work, • Collaborative, consulting-led environment, • Hybrid working (London office), • Competitive salary, bonus, and benefits, • Training and development opportunities

Job Title: Senior GCP Data Engineer Location: London (2 days per week onsite) Salary: £90,000 - £110,000 Our client is VC-based early stage GCP Partner growing 40% YoY, and they are looking for a Senior Data Engineer to join their engineering team. This is a highly customer-facing, project-based role where you will work across complex transformation programmes, partnering closely with stakeholders and cross-functional teams to deliver end-to-end data solutions. You will take full lifecycle ownership of data engineering projects, from initial data discovery through to deployment, ensuring scalable, high-quality, and governed data platforms built on Google Cloud. Key skills: • Experience in GCP Data Engineering - expertise in BigQuery and Airflow, • Experience with Infrastructure as Code (Terraform), • Data quality frameworks and validation techniques, • CI/CD pipeline development and solution deployment, • Exposure to AI/ML tooling (Vertex AI, LangChain, LLMs) Responsibilities: • Deliver full lifecycle projects: discovery, modelling, ingestion & deployment, • Build ETL pipelines and scalable data architectures on GCP, • Implement data quality, governance, and validation processes, • Collaborate with stakeholders and cross-functional teams What you’ll bring: • Strong client-facing and stakeholder management experience, • Proven delivery across complex data engineering projects, • Deep understanding of modern cloud data platforms, • Passion for AI and emerging technologies Why Join? • AI-first attitude across the organisation, • Join a high-performing Data & AI elite team, • Work with cutting-edge GCP and AI technologies, • Exposure to innovative, large-scale transformation projects, • Opportunity to work closely with leading clients and solve complex data challenges If you're interested in a confidential chat please click apply.

PLATFORM ADMINISTRATOR LONDON/HYBRID UP TO £60,000 This is an opportunity to step into a central role within a growing technology function, joining a business investing heavily in its platform, tooling and internal systems. You will play a key part in scaling their operational capabilities, acting as the technical bridge between junior support and senior engineering, and shaping how their core platforms evolve. ROLES AND RESPNSIBILITIES: The Platform Administrator will: • Act as the technical escalation point for 2nd and 3rd line issues across identity, access, devices and core SaaS platforms, • Support user lifecycle management, permissions and administration across Entra ID, Google Workspace and internal systems, • Manage and maintain office and platform infrastructure including virtual machines, networks, hypervisors and monitoring, • Contribute to automation and internal tooling development using scripting or workflow tools, • Assist with infrastructure and platform projects, including visualising office infrastructure and improving performance monitoring, • Mentor junior team members and improve team processes, documentation and standards YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience: • Strong capability across 1st and 2nd line support in a business environment, • Hands‑on experience managing IT equipment, users and access management, • Practical exposure to infrastructure, networking, firewalls or switches, • Experience supporting macOS and Windows devices, ideally via Intune or similar MDM, • Comfortable acting as a technical escalation point and solving complex issues, • Familiarity with virtualisation, Linux/Windows VMs, cloud or SaaS environments is beneficial, • Any experience with automation, scripting or containerisation is a plus APPLY BELOW!

An innovative AI design tooling organisation in London are on the lookout for a Growth Lead in order to own the GTM strategy for product launch and ongoing releases whilst also build and execute across social channels Role Responsibilities • Own the GTM strategy for product launch and ongoing releases, • Build and execute across social channels (X, TikTok, LinkedIn, YouTube), • Design and scale viral growth loops, • Partner with creators, influencers, and affiliates, • Create and ship content at high velocity, • Run rapid experiments and double down on what works, • Build systems to consistently generate inbound users and leads, • Track activation, retention, and conversion metrics Role Requirements • Proven track record growing a product, audience, or community from 0 → 1, • Deep understanding of social platforms and distribution mechanics, • Hands-on operator (you create, test, and ship yourself), • Strong commercial instinct, understands how growth ties to revenue, • Experience working with creators or influencer ecosystems, • High velocity, comfortable operating with minimal structure, • Real interest in the AI sector and innovations within the space Hybrid position in London This role CAN offer sponsorship if needed If you have the required experience and skillset please apply for immediate consideration!

Technical Artist – Unity (VR) Remote | 6‑Month Contract, PAYE We are seeking an experienced Technical Artist to join a project focused on delivering high‑quality, high‑performance visuals for a leading VR experience. This contract role sits at the intersection of art and technology, where your ability to balance creative vision with technical execution will directly impact visual fidelity and performance. Key Responsibilities • Improve and define environment and VFX workflows, tooling, and shaders, • Develop creative solutions to deliver polished and performant VR visuals, • Identify and utilise the most appropriate Unity and standalone tools for each task, • Contribute to custom, hand‑written HLSL über‑shaders, ensuring code remains clean, optimised, and efficient, • Create visual effects for gameplay and UI, and support teammates in producing high‑quality VFX, • Identify and resolve technical, visual, and performance issues Required Experience • 5+ years of professional experience with Unity, • 2+ years in a Technical Artist role, • Strong hands‑on experience with Unity tools, including:, • Animations, • Timelines, • Particle Systems, • VFX Graph, • Nested Prefabs, • Material Property Blocks, • Experience creating technical 2D and 3D assets using procedural DCC tools (e.g. baking data into textures or mesh properties), • Deep knowledge of Forward and Built‑in rendering pipelines, • Solid understanding of mobile and VR performance optimisation, • Experience writing custom shaders to achieve unique and high‑quality visuals This is an excellent opportunity for a Technical Artist who enjoys solving complex visual and performance challenges in VR and wants to make a clear, measurable impact within a contract engagement.

About the Company At Alecto, we're on a mission to fix one of the UK's most broken consumer experiences: conveyancing - the legal process behind every property transaction. Today it’s slow, opaque, and failing. One in three property transactions fall through, complaints run 3.3x higher than any other legal sector. Many firms still rely on post and fax. We're building the UK's first AI-native law firm to change that. Backed by Firstminute Capital and a strong group of angel investors, we’re led by a founder who built and scaled Gen H, a fintech mortgage lender, to £1bn in annual lending and £5bn in financing. That hands-on experience in regulated financial services gives us a clear path to disrupt a fragmented £2.5 billion market. Conveyancing is our starting point. Our ambition is a full-service, AI-first law firm with global reach. About the Role We're looking for a Staff or Senior Product Engineers to join as an early member of our engineering team. We're a small team of generalists with deep experience in startups and who care about craft. We move fast, ship often, and hold ourselves to a high bar. From day one, you’ll help shape the product’s direction and ship features to production within your first week. Requirements will be fuzzy - you’ll talk to users, form hypotheses, and iterate quickly to define what to build. Responsibilities • Have worked at early-stage startups and driven product direction, • Think in terms of user problems, not just technical solutions, • Have scaled TypeScript projects, • Enjoy refining and customising your AI workflow into the early hours, • Building AI agents or LLM-powered systems that go beyond simple prompting, • Thrive in autonomy and owning your own work & projects, • Are genuinely excited by building products from the ground up Qualifications Bonus points for academic or applied experience in machine learning, especially if you can bridge the gap between research and production. Required Skills • Relentless about self-improvement and hold yourself to incredibly high standards, • See problems as solvable and find opportunity in challenges, • Energise the people around you in the process, • Own outcomes, fixing problems rather than waiting for someone else to, • Want to be measured on your impact, • Low ego and self-critical, open to feedback, • Give honest feedback directly and kindly Preferred Skills • A TypeScript monorepo, React, tRPC and Tailwind, • Inngest for background jobs and event-driven workflows, • Deployed on Google Cloud Platform with Postgres Pay range and compensation package • £100,000 - £150,000 depending on experience, • Meaningful early-stage equity - you'll be an owner, not just an employee, • 5% employer pension contributions, • Comprehensive private medical cover including dental and optical, • 25 days holiday plus bank holidays, • Your choice in AI tooling Equal Opportunity Statement Please let us know if there are any reasonable adjustments we can make to ensure you have the best experience interviewing with us! Hiring Process • Introductory Call (25 minutes), • Technical Test (2-3 hours), • Values Interview (1 hour)

The Senior Engineer in Production Management, will be responsible for the development and overall implementation of software in a complex, critical and large cross-departmental and multi-disciplinary area. The role is part of a multi-year transformation journey that will require a successful candidate to establish best practices, motivate and promote a cultural shift that will ensure a successful adoption of Engineering Principles and Practices within Production Management. The role requires a comprehensive understanding of multiple areas within a function and how they interact to achieve the objectives of the function. Applies in-depth understanding of the business impact of technical contributions. Accountable for delivery of a full range of end-to-end projects. Excellent communication skills required to negotiate internally. Involved in short- to medium-term planning of actions and resources for own area. Responsibilities: • Demonstrates an in-depth understanding of Software Development Lifecycle and how it integrates within the overall technology landscape to deliver scalable, reliable and resilient applications., • Ability to operate in a global environment with on-/near-/off-shore matrix reporting structures., • Operates into a highly regulated environment that requires in-depth understanding of the regulatory requirements and the industry implications for our technologies., • Improve the service level the team provides to our end users, which includes maximizing operational efficiencies, strengthening incident management, problem management and knowledge sharing practices., • Drives Continuous Delivery and Automation efforts across the supported applications by means of Root Cause Analysis reviews, Knowledge management, Performance tuning, and user training., • Fosters a culture that promotes transparency and innovation for increased team productivity., • Coaching members of the team and outside the immediate reporting line about the best practices and recognizes anti-patterns that are quickly addressed., • Implements the Agile Framework through one of its implementations like SCRUM or Kanban and ensures it integrates with overall organization processes., • Avidly communicates progress and project status across the organization and ensures that stakeholders are managed appropriately throughout the execution period. Qualifications: • Relevant experience in a critical software development role with high business impact, ability to understand how software delivers business value ., • Excellent engineering skills and senior architecture, • Excellent working knowledge of key computer science concepts (networking, operating systems, virtualization, containerisation, etc.), • Polyglot full-stack developer mentality and ability to pick up new languages and skills, • Excellent understanding of Software Engineering concepts like Software Development Life Cycle and GitOps, • Excellent debugging and analytical skills: ability to isolate root cause across networking/infrastructure, application and database stacks, • Operational experience of deploying and running services at scale on top of Docker/Kubernetes stack and a service mesh, like Istio, is highly desirable, • Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, Cloud Formation, etc.) is a highly desirable, • Experience of delivering software using Agile delivery methodologies is a must (SCRUM/Kanban), • Operational experience of using middleware technologies (MQ, Apache Kafka, etc.) to run services at scale is desirable, • Strong experience with end-to-end observability stacks (Datadog, AppDynamics, Dynatrace, etc.) is desirable, • Degree in computer science/mathematics/physics or related technical subject is desirable, • Experience of senior stakeholder management, • Consistently demonstrates clear and concise written and verbal communication skills. Skills Required - • Containerization, • Kubernetes, • GitOps, • Infrastructure as Code, • Configuration Management, • Observability (tools and implementation), • Middleware configuration, • High Availability Systems, • Hyperscale Systems, • Programming (Java, Python or equivalent)

Oil Trading Head of Data Strategy & Architecture – Dubai Based • Business: Asset Backed Commodity Trading Firm of Oil & Gas Major, • Location: Dubai, UAE, • Assistance: Relocation allowance + visa sponsorship + assistance in setting up UAE bank account etc, • Experience: 10 years+ physical oil trading experience working in senior data architecture, data engineering, or data strategy roles, • Salary: AED 65,000 PCM (GBP 155,000 per annum) TAX FREE + bonus + benefits Overview: The asset backed commodity trading business of a large Oil & Gas Major is hiring for an Oil Trading Head of Data Strategy & Architecture to join their HQ in DIFC in Dubai. This is a brand newly created position, reporting into the General Manager of the trading business and will be in charge of defining, implementing, and governing the data vision for a leading physical oil trading organization. This role oversees the design and operation of a scalable, secure, high‑quality data ecosystem supporting front, middle, and back-office functions—including trading, risk, operations, finance, compliance, and HR. The ideal candidate combines deep knowledge of physical oil markets, strong experience with ERP & ETRM systems, and a proven ability to build modern data platforms, cloud architectures, data governance frameworks, and efficient workflows for technical and non‑technical users. Key Responsibilities: Data Strategy & Governance • Develop and own the company’s enterprise data strategy, ensuring alignment with commercial, risk, and IT objectives. Data Architecture & Platform Ownership • Lead the design, implementation, and ongoing evolution of the KPCT central data platform., • Own the overall data infrastructure, ensuring reliability, scalability, and performance. Cloud Strategy & Engineering Leadership • Drive the company’s cloud data strategy, selecting and optimizing cloud technologies On‑Desk Enablement & Coding Frameworks • Create and support controlled frameworks for on‑desk coding (Python, SQL, analytics tooling, etc….), providing guardrails without limiting innovation., • Partner with Trading, Risk, and Analytics teams to streamline creation of pricing tools, forecasting models, optimization engines, and dashboards. Cross‑Functional Support Across the Trading Lifecycle • Support front office (Trading, Analytics, Research), middle office (Risk, Control) and back office (Operations, Finance, Accounting) ETRM Integration & Data Flow Management • Act as the strategic owner of data flows into and out of ERP & ETRM systems (e.g., Endur, Allegro, Aspect, RightAngle etc). Leadership & Stakeholder Management • Lead implementation by network of Data/Digital representatives within each business department to accept and assimilate new technologies., • Serve as the bridge between business teams and technology teams, translating commercial needs into scalable solutions., • Communicate data strategy, KPIs, risks, and progress clearly to executive leadership. Required Experience & Qualifications • Strong understanding of physical oil trading, supply chains, market data, pricing, and operations experience gained working for a major global oil trading business (ideally oil major)., • It is essential that you have worked for a major global oil trading business, in a major global oil trading hub (London, Houston, Geneva, Singapore etc), instead of for a smaller remote office, • 10+ years in data architecture, data engineering, or data strategy roles., • Hands‑on familiarity with major ETRM systems (e.g., Endur, Allegro, Aspect, RightAngle)., • Practical coding knowledge: Python, SQL, version control (Git), and workflow orchestration tools., • Experience implementing and scaling cloud‑native data platforms (Azure/AWS/GCP)., • Strong knowledge of streaming, APIs, data modeling, and integration frameworks. Leadership & Strategic Capabilities • Proven ability to define data strategy at enterprise scale., • Experience managing and mentoring diverse technical teams., • Excellent stakeholder management across Trading, Risk, Finance, IT, and senior leadership., • Strong architectural thinking and ability to design future‑proof systems For more information, please e-mail through an up-to-date copy of your CV to Ben at

About Us Machnet Medical Robotics (MMR), founded in 2020, is on a mission to revolutionise medical robotics. Our guiding principle is simple: innovation must improve patient outcomes, support clinicians without disrupting workflows, and empower healthcare staff rather than adding burden. MMR is a well-funded company with long-term investors and a strong financial foundation. Our hardware and software teams have developed a fully functional medical robotic platform that has successfully completed animal trials. As we move into the next phase, we are refining the mechanical design for production with a focus on safety, reliability, manufacturability, and scalability, preparing our technology for deployment in hospitals worldwide. About the Role We are seeking a Senior Software Engineer in Test with strong Python experience and a background in testing embedded systems. This role focuses on verification of the Control software component that drives our robotic platform. The position is highly technical and developer focused. You will design and implement complex test harnesses used to verify behaviour of the Control application through internal interfaces and communication protocols. You will work closely with software and firmware engineers to validate interactions between multiple subsystems, ensuring reliable behaviour of the system under different operational conditions. Key Responsibilities • Create and maintain test cases, execute verification activities, and log defects to support investigation and resolution, • Design and implement a Python based test harness for automated verification of the Control software component, • Develop automation that interacts with the Control application through internal messaging and communication interfaces, • Create reusable test infrastructure, libraries, and utilities that support scalable and maintainable automated testing, • Develop simulations and mocks of subsystem communication, including CAN-based and Ethernet-based interfaces, to enable automated verification of the Control multiple applications, • Implement automated tests verifying software level requirements and system behaviour, • Investigate defects by reproducing issues through automated and manual testing approaches, • Support CI pipelines by ensuring test stability, reliability, and clear reporting of verification results, • Produce traceable verification evidence supporting product development and release activities in alignment with medical device development standards such as IEC 62304 and ISO 13485 Who We’re Looking For • Bachelor or Master degree in Computer Science, Software Engineering, or related field, • Strong experience with Python for test automation and tooling, • Experience building or maintaining complex test harnesses or automation frameworks, • Understanding of embedded systems testing, • Experience working with CAN based communication systems, • Ability to read and understand C++ code in order to support debugging and test development Experience We Value • Experience building hardware simulators or subsystem mocks used for automated testing, • Experience testing complex systems composed of many interacting subsystems, • Experience working in regulated or safety-critical environments such as medical devices, aerospace, or automotive Why Join Us? At MMR, you will work at the intersection of robotics, AI, and healthcare, building technology that directly impacts patient care and clinical outcomes. You will join a mission-driven, collaborative team where your technical expertise will meaningfully shape the future of medical robotics. We believe technology must serve people responsibly. Human-centred innovation, integrity, and long-term responsibility guide how we design products and how we support our team members’ growth and well-being. What We Offer • An international, interdisciplinary team based in Central London and Zwolle, Netherlands, • A key technical role in a rapidly growing medical device startup with global ambitions, • A central London office with a well-equipped prototyping space, • Ongoing professional development through training, workshops, and conferences, • An inclusive, supportive workplace culture, • Medical and dental insurance, • Cycle to Work scheme, • Home internet allowance, • Birthday cake for the team and bubble tea, • A competitive salary package aligned with industry standards

The Client Our client is a leading financial technology firm operating at the intersection of quantitative finance and distributed cloud infrastructure. Built by buy-side practitioners, their platform powers real-time pricing, risk, and portfolio management for some of the world’s most sophisticated hedge funds and institutional asset managers. This is an environment where quant developers build production analytics used directly by portfolio managers and traders, not research that sits on a shelf. The Opportunity You will join a team responsible for building cross-asset pricing and risk infrastructure used in live trading and portfolio construction. The role sits at the intersection of quantitative modelling and production software engineering, working on a high-performance analytics platform covering Rates, FX, Credit, Equities, and Commodities, with particular focus on Interest Rate Derivatives. This is an excellent opportunity for a developer who enjoys implementing pricing models, building scalable analytics services, and working closely with front-office users. What You’ll Be Working On • Implement and extend pricing models and quantitative analytics for Interest Rate Derivatives within a large-scale production platform, • Build high-performance services in C# integrated with a proprietary C++ quantitative library, • Develop Python tooling and research workflows used by quant researchers and portfolio managers, • Work closely with trading, quant research, and risk teams to deliver production-grade analytics, • Improve the performance, scalability, and reliability of real-time pricing and risk infrastructure, • Contribute to a cloud-native architecture running on AWS Technology Stack C# • C++ • Python • AWS • Distributed Services • High-Performance Analytics What We’re Looking For • 3+ years of experience in a front-office or front-office-aligned quant development role, • Strong software engineering fundamentals (data structures, algorithms, performance optimisation), • Commercial development experience with C# and Python, • C++ experience strongly preferred, • Good understanding of Interest Rate Derivatives (swaps, curves, pricing frameworks), • Background in Financial Mathematics, Quantitative Finance, Physics, Maths, or similar, • Someone who enjoys solving complex quantitative problems in production systems Why This Role Stands Out • Build production pricing and risk analytics used daily by global asset managers, • Work at the intersection of quant modelling and modern cloud infrastructure, • Gain exposure across multiple asset classes, • Join a high-calibre team with strong mentorship and technical depth, • Competitive compensation within a high-performance engineering culture If you enjoy building robust quantitative systems, care about clean, performant code, and want to work on real front-office analytics, this role is well worth exploring.

Job Title : Global Head of Cyber Defence Reporting To - Global CISO Job Summary: Reporting to the Group Chief Information Security Officer, the Global Head Cyber Defence helps build, manage and mature our cybersecurity posture. This is a key role that is accountable for our 24X7x365 global security operations center, improving our incident detection, incident response and incident management capabilities, and ensuring we have the appropriate people, processes and technologies to detect, prevent and respond to the ever-changing cyber threat landscape. The Global Head of Cyber Defence is accountable for leading and continuously strengthening Apex Group’s cyber defence capabilities across all regions and entities. This role provides strategic direction and operational oversight for threat detection, incident response, security monitoring, and cyber resilience, ensuring Apex can proactively predict, prevent, detect, respond to, recover and Govern from cyber threats\risks in a complex and evolving threat landscape. The role partners closely with Security Engineering, IT Risk, Governance, Technology, Risk, Legal, Compliance, and the business to protect Apex’s information assets, client data, and critical services, while enabling secure growth and transformation. Key Responsibilities Cyber Defence Strategy & Leadership • Deliver the Group CISO Cyber Strategy and Target Operating Model, • Define and execute Apex’s global cyber defence strategy, aligned to the Group’s risk appetite, regulatory obligations, and business priorities., • Provide clear leadership and direction to regional cyber defence teams, fostering a strong security culture and consistent operating model across all entities., • Act as a senior cyber security leader and trusted advisor to executive management and governance forums., • Serve as a point of escalation for the L1, L2, L3 SOC Analysts, Head of SOC, MSSP, and other vendors, lead and coordinate response efforts with other groups and stakeholders, • Stay current with evolving threats, vulnerabilities, tools, technologies and threat actor TTPs to help improve detection and response capabilities., • Develop and refine standard operating procedures in the form of run books and playbooks for incident response and threat detection. Create and make improvements to procedures and playbooks., • Provide oversight and guidance on the technical analysis, log reviews, and assessments of cybersecurity incidents throughout the incident management lifecycle., • Identify opportunities of improvement with the processes, procedures, and our detection capabilities including detection use cases within our SIEM for our expanding estate using appropriate scripting languages., • Assist with additional ad hoc projects as required, • Perform all duties requested by the Group CISO to delivery the Target Operating Model and Cyber Security Strategy Threat Detection & Monitoring • Build and oversee global security operations, including Security Operations Centre (SOC) capabilities, threat intelligence, and continuous monitoring., • Ensure effective detection of advanced threats across on-premise, cloud, and third-party environments., • Own Apex’s cyber incident response capability, ensuring preparedness, tested playbooks, and rapid, coordinated response to cyber events., • Lead response to major cyber incidents, working closely with Legal, Communications, Risk, and senior leadership., • Ensure post-incident reviews are conducted and lessons learned are embedded to improve resilience., • Run and coordinate annual cybersecurity tabletop exercises, that spread across both technical and non-technical areas and testing. Cyber Resilience & Assurance • Strengthen cyber resilience through effective vulnerability management, attack surface reduction, and defensive controls., • Partner with Technology Assurance, Risk, and Audit teams to ensure cyber defence controls are robust, tested, and aligned to regulatory expectations., • Ensure cyber defence considerations are embedded into third-party risk management, including cloud providers, managed service providers, and offshore service models., • Engage with regulators, clients, and external partners as required on cyber defence matters., • Support regulatory examinations and client assurance activities relating to cyber security and operational resilience., • Build and maintain a high-performing global cyber defence team with strong technical depth and leadership capability., • Drive succession planning, skills development, and talent retention across the cyber defence function., • Lead and develop global cyber Technical and Operational Services, advisory and service delivery teams, • Build a strong delivery culture focused on accountability, quality, and continuous improvement, • Manage strategic cyber security vendors and service providers, • Support talent development in line with Apex’s growth and acquisition strategy Key Skills & Experience • Minimum of10 years of extensive cybersecurity experience, with at least 7 years in a senior leadership role and a proven track record in leading a global cyber defence\SOC functions., • Extensive experience leading cyber defence, security operations, or incident response functions in a global, regulated environment., • Deep technical knowledge of cyber threats, security monitoring, incident response, and defensive technologies., • Knowledge of current and upcoming methodologies and trends in the cybersecurity landscape, including a deep knowledge of cyber threats, attack techniques, and cybersecurity frameworks/standards., • Deep knowledge of threat detection and response; digital forensics and malware analysis; cloud security across the various cloud hosting platforms; endpoint detection and response; SIEM platforms and working knowledge of managed security service providers., • Excellent written and verbal communication skills, interpersonal and collaborative skills, and the ability to communicate cybersecurity and risk-related concepts to technical and nontechnical audiences at various hierarchical levels, ranging from senior leadership to technical specialists., • Business acumen to understand enterprise operations, risk tolerance, and industry dynamics., • Analytical skills to conduct technical assessments, prioritize vulnerabilities, and develop risk treatment plans., • Strong understanding of cloud security, third-party risk, and modern technology environments., • Proven ability to operate at executive level, influencing senior stakeholders and decision-makers., • Experience with regulatory and client-facing security assurance in financial services or similar sectors., • Strong leadership, crisis management, and communication skills., • Passion for continuous learning to stay current on advancing threats and security best practices., • Ability to maintain a calm structured mindset even when under pressure. Qualifications • Degree in Information Security, Computer Science, or a related field (or equivalent experience)., • Relevant industry certifications (e.g. CISSP, CISM, GIAC) preferred.

📍 Remote | Full-Time | UK 🏴 🚀 The Client🚀 A well-funded, AI-native SaaS company is transforming the insurance industry by enabling smarter, faster, and more equitable underwriting decisions. Backed by leaders behind companies like Salesforce, Veeva, Zoom, and Box, the team is building a platform that embeds intelligent decision-making directly into workflows - helping insurers navigate today’s biggest challenges. 🧑 💻 The Role 🧑 💻 We are seeking a Senior Forward Deployed Engineer to design and deliver complex enterprise implementations while working closely with customers, engineering, and product teams. This role combines hands-on software development, technical consulting, and solution architecture to deploy AI-powered products in real-world environments. 🛠 Responsibilities 🛠 • Lead planning, scoping, and delivery of complex customer implementations from discovery through launch, • Act as the technical escalation point for integration and implementation challenges, debugging complex issues and designing robust solutions, • Run technical discovery sessions with customers, translating ambiguous requirements into clear technical solutions, • Design implementation approaches and influence architectural decisions based on real-world deployment needs, • Collaborate closely with Product, Engineering, Customer Success, and other cross-functional teams to align product capabilities with customer requirements, • Build internal playbooks, improve delivery processes, and mentor junior engineers, • Communicate technical insights and recommendations clearly to customers and internal stakeholders to help guide product improvements, • Write and debug production code for customer deployments and internal tooling using Python, JavaScript, and SQL 🎯 Qualifications 🎯 • B.S. in Computer Science or a related technical discipline, or equivalent experience, • 6-8+ years of software engineering, systems engineering, or technical product/program management experience 🧩 Required Skills 🧩 • Deep expertise across multiple product domains; ability to debug complex integrations and build custom solutions., • Strong communication skills — able to lead discovery sessions, manage client expectations, present technical tradeoffs, and influence stakeholders., • Demonstrated track record mentoring or leading other engineers, creating documentation/playbooks, and contributing to internal process improvements and knowledge sharing., • Cross-functional coordination skills, organizational leadership in delivery settings, and ability to own multiple customer timelines concurrently., • Coding competency in SQL, JavaScript and Python. If you're excited about driving AI-powered transformation 🤖, solving real-world problems at scale, and leading high-impact programs in a fast-scaling environment - Hit Apply!

Entity: Technology Job Family Group: IT&S Group Job Description: The Senior Principal Manager for Portfolio, Analytics & Insights (PAI) is the head of the PAI function within Digital Technology, supporting all teams across digital. The role leads bp’s digital portfolio processes, drives performance management across digital teams covering both financial and non-financial metrics; and is responsible for developing digital systems and ways of working to drive increasing transparency across digital portfolio operations. This role is key in leading digital strategy and reports to the Digital Delivery Senior Vice President. With the option to be based in the UK, Pune or Budapest, this role sits at the heart of bp’s digital ecosystem, offering broad exposure and a central role in shaping portfolio priorities and strategy. What you will do... • Lead the full PAI team including Portfolio Principals, embedded performance leads within each delivery portfolio in digital and teams developing new tools to increase transparency of our digital activities., • Build a team focussed on outcomes aligned with business goals and that model data-driven insights, • Provide coaching, prioritisation, and alignment to ensure consistent delivery across digital., • Co-ordinate and lead the development of a cohesive and aligned digital strategy, • Lead the digital planning and portfolio process in support of the digital strategy, increasingly using digital tools to drive these processes. Work hand-in-hand with finance to deliver the investment and operating costs plan., • Provide transparency on progress and drive delivery, • Drive understanding of the key levers to increase digital efficiency, including modelling future opportunities, progress against targets and driving further interventions., • Lead digital benchmarking activity to provide insights on future opportunities for increased efficiency and effectiveness., • Support delivery teams to deliver their portfolios, maximizing value delivery, in line with financial frames and focusing on priority projects., • Define digital performance metrics and indicators across cost, value, delivery health, resource utilisation, and business outcomes, and ensure performance management is in place to ensure delivery., • Set policy and governance for performance data across the digital estate and drive standards adoption to ensure consistent delivery and measurement of performance in Digital., • Coordinate and drive content for performance reviews and senior stakeholder sessions to inform executive decision-making., • Deliver Insight-Driven Performance & Analytics increasingly using digital tooling, • Drive the adoption of existing portfolio tools and lead the development of new digital tooling which brings together a wide range of data sources to provide increasing transparency to our digital activities., • Define and embed ways of working which underpin a data-driven insights culture What you will bring... • Experience in performance or finance management, strategy, data & analytics, or programme management, • Experience in performance management and commercial models for Digital Technologies., • Strong Relationship Management across a matrix organization, • Creates strategic partnerships, manages risks, unblocks and handles escalation paths for effective implementation., • Significant experience leading people and multi-functional teams., • A proven track record of navigating complex partnerships and resolving conflict with calm, resilience, and sound judgement., • Commercially oriented with deep focus on unlocking customer and business value through digital technology., • Growth-minded with a thirst to learn and apply emerging technologies for business value, • Digitally enabled and data driven, • Focused on growth and development of commercially feasible customer focused offers., • Drives performance and is comfortable with uncertainty and an ever-changing environment., • Bachelor’s degree in Business Administration, Finance, Computer science or digital field, Engineering, Mathematics or Science degree or equivalent work experience., • Master`s degree or MBA in Business Administration, Finance, Computer science or digital subject area would be an advantage. Why join us? At bp, we're committed to supporting leaders who want to make an impact. You will have the chance to shape and influence outcomes across businesses. You’ll be part of an inclusive environment where diverse perspectives are valued, and where your contribution to performance and integration matters. We invest in the growth and wellbeing of our people, providing the resources, networks, and development opportunities needed to thrive. Our total rewards package includes competitive pay, bonuses, share options, and a range of flexible benefits designed to meet your needs — from healthcare and retirement plans to paid time off and agile working. We recognise that people have multifaceted lives, and we strive to offer a career experience that reflects that. Apply now! Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Agility core practices, API and platform design, Benefits Management, Business Analysis, Business modelling, Client Counseling, Cloud Platforms, Configuration management and release, Data Analysis, Data design, Data Management, Demand Management, Design Thinking, Dialogue enablement, Digital Innovation, Digital Product Management, Employee Experience, Empowering Others, Facilitation, Influencing, Long Term Planning, Managing change, Marketing strategy, Measurement and metrics {+ 5 more} Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please ___. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Entity: Technology Job Family Group: IT&S Group Job Description: Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner. We’re hiring a Platform Engineer to help build Yalla, our Internal Developer Platform (IDP). Yalla enables teams across our organisation to provision infrastructure, deploy code, and operate services in a secure and standardised way — all via self-service. This is a hands-on engineering role working across the full stack: you'll be building on top of the core platform (using Kubernetes, ArgoCD, and Crossplane), as well as any supporting tooling such as the developer portal, backend services, and observability that bring Yalla to life for product teams. You'll work closely with internal users to understand developer needs, simplify workflows, and turn complex platform capabilities into intuitive developer experiences (DevEx). • Design, build, and operate features across the full Yalla stack — including:, • Platform infrastructure (Kubernetes, GitOps, provisioning workflows), • Backend APIs and services (e.g., service catalog, deployment orchestration), • Frontend portal (React-based developer UI), • Tooling (Observability, Artifact Storage, Azure DevOps), • Build reusable templates and automation for provisioning environments, services, and CI/CD pipelines., • Integrate with tools like ArgoCD, Crossplane, and language-native build systems (Go, .NET, Java, Node.js, Python)., • Contribute to platform contracts and APIs used by product teams., • Collaborate with engineers across the company to define platform standards and improve developer experience., • Improve reliability, observability, and security across all layers of the platform. Must-Have: • Proven experience building and deploying full-stack applications with at least one high-level programming language (ideally React + Go/ .NET/ Java/ Node.js/ Python)., • Strong understanding of cloud-native architecture (AWS/Azure) and Kubernetes., • Familiarity with GitOps workflows and infrastructure-as-code (e.g., Terraform, Crossplane, Helm)., • Experience with CI/CD tooling (Azure DevOps, GitHub Actions, etc.)., • Ability to work across front-end and back-end boundaries, turning platform concepts into intuitive UX., • Comfortable navigating a mixed-language environment., • Experience building internal platforms, IDPs(Internal Developer Platform), or self-service developer tooling., • Experience of working in a monorepo., • Knowledge of service communication patterns (REST, GraphQL, gRPC, messaging)., • Experience in secure, regulated environments (e.g., SoX, audit requirements)., • Exposure to policy-as-code tools (e.g., OPA, Kyverno, Cedar)., • Familiarity with design systems or component libraries used for internal portals. Travel Requirement No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture {+ 6 more} Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please ___. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Entity: Technology Job Family Group: IT&S Group Job Description: What you will do In this role, you will lead the end-to-end architecture of our Endur (Openlink) energy trading platform, partnering closely with traders, product owners, market experts, and engineering teams to deliver solutions that are technically robust and aligned with business ambition. You will help modernise our trading technology by applying contemporary design patterns, cloud-native engineering principles, and architecture governance that supports performance, scalability, resilience, and future growth. You will provide architectural leadership across internal teams and vendor partners, ensuring alignment through the full delivery lifecycle. You will also play a central part in shaping trading capabilities across front-, middle-, and back-office workflows—ensuring that every component, from deal capture to optimisation, scheduling, settlement and reporting, works seamlessly together. Key areas of focus Architecture & Design • Own the target architecture for Endur-enabled trading capabilities, document key decisions, and make thoughtful trade-offs., • Lead architecture and design across Endur programmes (new capabilities, upgrades, integrations, and platform modernisation)., • Work with developers, data engineers, product teams, UX, vendors, and consultants; guide design reviews and drive consistency across teams. Required (must-have) • Significant hands-on Endur (Openlink) experience delivering and shaping solutions in a production energy trading environment., • Strong experience in physical Gas and/or Power trading, including lifecycle processes such as deal capture, scheduling/nomination, optimisation, settlements/invoicing, risk/PnL and reporting., • Proven track record leading architecture on complex trading programmes, including governance, design authority, and stakeholder management., • Strong understanding of non-functional requirements for trading platforms: performance, resiliency, security, auditability, and operational support., • Experience with modern architecture patterns: microservices, messaging/event-driven design, caching, and API strategy., • AWS cloud services (strongly preferred) and cloud-native patterns, • C# or Java, • Containerisation (Kubernetes / Docker / OpenShift), • Infrastructure as code (Terraform), • Integration and messaging (APIs, JSON/Swagger/OpenAPI, AMQ or similar), • Endur modernisation experience (e.g., upgrades, cloud migration, platform re-architecture), • React familiarity for UI collaboration, • Data architecture experience supporting transactional + analytical models, reconciliation, real-time reporting, distributed caching, and NoSQL (e.g., MongoDB) Travel Requirement No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is not available for remote working Skills: Agility core practices, Business modelling, Creativity and Innovation, Data Analysis, Data design, Digital Analytics, Emerging technology monitoring, Information Assurance, Integration, IT Management, IT strategy and planning, Network Design, Requirements definition and management, Risk Management, Service operations and resiliency, Solution Architecture, Systems Development Management, Technical specialism, User Experience Analysis Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please ___. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Entity: Technology Job Family Group: IT&S Group Job Description: Within bp’s Supply, Trading & Shipping (ST&S) digital organisation, this role is for the end‑to‑end operations, delivery, and support of the digital systems underpinning the Gas & Power Trading International (GPTI) business — including Gas, Power, Global LNG, and GETEC. The role exists to ensure GPTI’s critical trading, risk, and optimisation platforms are stable, scalable, secure, and continuously improving. It enables safe, compliant, and competitive trading operations across global markets by providing clear ownership for operational performance, change delivery, and risk management across a complex, high‑stakes digital estate. Operating as the primary digital counterpart to GPTI leadership, the Senior Principal Delivery Manager plays a key role on the ST&S Digital Leadership Team. The role leads and coordinates Engineering, Data & AI, Architecture, and strategic supplier organisations to deliver resilient, high‑performing platforms; translate business strategy into aligned technology priorities; and balance operational stability with ongoing transformation. This is a senior leadership position requiring sound judgement, disciplined execution, and strong influence with partners at VP and SVP level across both business and technology. It is an exciting opportunity to lead at scale in a fast‑moving business, at a moment when AI‑enabled tooling can drive real and tangible impact! • Technology portfolio leadership, • Define and lead the strategy, roadmaps, investment, and budgets for GPTI’s critical trading and optimisation platforms. Act as the primary interface between business stakeholders, global technology teams, and strategic delivery partners to ensure alignment, transparency, and predictable outcomes., • Technology delivery management, • Oversee the end‑to‑end delivery of complex programmes spanning products, platforms, and business processes, and using AI‑enabled engineering and operations to accelerate delivery, uplift quality, and simplify change., • Operational integrity, • Own end‑to‑end accountability for the availability, performance, resilience, and compliance of GPTI trading and optimisation systems, including live operations, incident response, service recovery, and continuous improvement., • Data‑driven decision making, • Monitor service health, performance, and operational risk to inform prioritisation, investment decisions, and governance, enabling transparent and evidence‑based decision making., • Resource, vendor, and financial management, • Lead internal teams and strategic suppliers, utilising global delivery centres (including BTCs) to optimise cost‑to‑serve, capacity, and quality while maximising business value., • Senior accountability and leadership, • Act as the single senior point of accountability for digital outcomes with the GPTI SVP, COO, VPs, and senior partners, providing clear ownership and decision support., • Lead operational and regulatory risk management, ensuring adherence to architectural, security, and policy standards in partnership with Strategy, Digital Security, Legal, and Compliance., • Drive simplification, automation, and continuous improvement across the GPTI digital estate, reducing complexity, mitigating key‑person dependency, and safely adopting new technologies that improve resilience, speed, and cost efficiency., • Significant experience in senior technology delivery leadership roles, managing complex software development, operations, and service delivery across internal teams and strategic suppliers., • Deep experience in energy or commodity trading environments, with a strong understanding of trading and risk processes and the platforms that support them (e.g. Deal modelling, Valuation, Logistics, Analytics, Risk, back-office)., • Track record in supporting critically important, high‑availability systems in regulated or time‑critical environments., • Demonstrated ability to balance operational stability with transformation, modernisation, and continuous improvement., • Comfortable operating within complex, multi‑vendor, globally distributed delivery ecosystems., • Demonstrated capability to build, lead, coach, and develop high‑performing, globally dispersed teams., • Strong executive communication skills, with high emotional intelligence and the ability to influence senior team members and leaders using clear, concise, and data‑driven insights., • Ability to prioritise strategic outcomes while maintaining strong execution., • Highly motivated by complex problem‑solving, with a strong bias for action, ownership, and accountability., • Bachelor’s degree (or higher) in a relevant subject area (e.g. Computer Science, Engineering, Mathematics, MIS/IT), or equivalent practical experience, • Professional certification (e.g. PMI or equivalent) is desirable., • Experience delivering significant, complex, project-based change programmes., • Broad experience with Energy Trading Risk Management (ETRM) system design, operation, or enhancement., • Experience with hyperscale cloud platforms (Azure/AWS), including cost and performance optimisation., • Strong AI and automation focus, with experience applying data‑driven and AI‑enabled practices to modernise delivery or operations. Why join us? We’re committed to supporting leaders who want to make an impact. At bp, you’ll have the chance to shape and influence outcomes across businesses. You’ll be part of an inclusive environment where diverse perspectives are valued, and where your contribution to performance and integration matters. We invest in the growth and wellbeing of our people, providing the resources, networks, and development opportunities needed to thrive. Our total rewards package includes competitive pay, bonuses, share options, and a range of flexible benefits designed to meet your needs — from healthcare and retirement plans to paid time off and agile working. We recognise that people have multifaceted lives, and we strive to offer a career experience that reflects that. Apply now! Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agile Delivery, Business modelling, Coaching, Collaboration, Continued Learning, Continuous Improvement, Control Risk, Design Thinking, Digital Fluency, Digital Innovation, Empowering Others, Financial Management, Hiring, Mentoring, Performance Metrics, Resilience, Risk Management, Stakeholder Engagement, Stakeholder Management, Strategic Planning, Team Development Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please ___. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Head of AI is seeking exceptional leaders to join our network of fractional Heads of AI. Our mission is to help Biotechnology and life sciences organisations evolve into AI-enabled institutions — embedding AI strategically across their research, development, operations, and decision-making. We are looking for individuals who combine deep technical fluency with board-level leadership, capable of guiding organisations as they adopt and scale the new era of generative and agentic AI. We work with organisations across biopharmaceuticals, drug discovery, genomics, clinical research, digital health, and medical devices, typically ranging from £20m–£500m+ in revenue. These organisations face increasing pressure to accelerate innovation and improve patient outcomes while maintaining strong governance, regulatory compliance, and data integrity. Our fractional Heads of AI support leadership teams in embedding AI capabilities that improve R&D efficiency, strengthen decision-making, and unlock new scientific and commercial value. We recognise that few professionals have completed a full AI transformation in life sciences. Therefore, we seek leaders with proven experience in digital, data, analytics, or operational transformation who are now applying that expertise to AI-led change. You understand how to translate ambition into action — guiding organisations through the cultural, operational, scientific, governance, and regulatory shifts required to unlock AI’s potential. What We Are Looking For: AI-Driven Business Transformation Leaders: Proven experience leading complex transformation programmes where technology, data, and innovation reshaped business performance. Able to apply that experience to the generative AI era — guiding biotech and life sciences organisations through the shifts required to become AI-enabled. Can connect earlier digital, analytics, or automation expertise with today’s agentic and generative AI capabilities. Deep Technical Fluency: Fluent in modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML, analytics, and scientific data systems (e.g. genomics, clinical, real-world data) with emerging AI architectures to deliver measurable value. C-Suite and Board-Level Communicators: Able to simplify complex AI and scientific topics for executives and align AI investments with organisational strategy. Confident advising CEOs, CTOs, Chief Scientific Officers, and Boards on strategy, risk, governance, and ROI. Change Leaders: Strong stakeholder engagement and ability to drive adoption. Skilled in mentoring teams, developing AI literacy, and ensuring responsible AI practices. Understands data governance, regulatory requirements (e.g. GxP, FDA/EMA), and human-in-the-loop design needed for AI success in life sciences. Entrepreneurial Mindset: Thrives in ambiguity and fast-paced environments. Curious about new AI tooling and pragmatic about implementation. Focused on delivering measurable outcomes through experimentation and iteration. What We Are Not Looking For: • Legacy executives without hands-on AI or GenAI understanding, • Academic or research-focused professionals without applied business outcomes, • Technologists who lack leadership or transformation delivery experience, • Consultants who only advise but have not led execution, • Corporate-only leaders reliant on large structures Desired Profile Summary The ideal candidate will serve as a Fractional Head of AI / AI-Driven Transformation Leader, focused on helping biotech and life sciences organisations design and execute end-to-end AI strategies, roadmaps, execution plans, and governance frameworks. They will bring 10–20+ years of experience across AI, data, digital transformation, analytics, or life sciences innovation, with a proven ability to translate technology into measurable scientific and commercial outcomes. They are experienced transformation leaders — such as Heads of Data Science, Chief AI Officers, AI Strategy Leads, or Digital Transformation Leaders — who have evolved beyond model development into organisational change and value delivery. Candidates with a data science or bioinformatics foundation are welcome, provided they demonstrate fluency in modern AI technologies (LLMs, copilots, orchestration frameworks) and executive-level influence. They thrive in fractional roles (1–5 days per week) and bring an entrepreneurial, adaptable, and outcome-driven mindset. We welcome applications from professionals passionate about helping life sciences organisations harness AI responsibly and at scale.

Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote / London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based AI systems to help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction, establishing best practices, and delivering high-quality systems from concept through to production. The role also involves mentoring engineers and contributing to the growth of a high-performing team. Key Responsibilities Project Ownership • Lead the design and delivery of AI/ML initiatives across the full lifecycle, • Build and deploy models, data pipelines, and production systems Cross-Functional Collaboration • Work closely with Engineering, Product, and DevOps teams, • Support integration of AI capabilities into wider platforms Technical Leadership • Provide guidance on AI/ML frameworks, tools, and best practices, • Contribute to the development of agent-based AI systems and workflows Mentorship & Communication • Mentor engineers and support technical development, • Promote strong collaboration across teams Problem Solving & Optimisation • Identify and resolve challenges in AI/ML systems, • Improve performance, scalability, and reliability Governance & Quality • Ensure high standards around model performance, data quality, and compliance Documentation & Knowledge Sharing • Maintain clear documentation and contribute to internal best practices Skills & Experience • 7+ years’ experience in AI/ML engineering, including production systems, • 3+ years in a technical leadership role, • Strong programming skills (e.g. Python or similar), • Experience with machine learning, data pipelines, and scalable systems, • Knowledge of modern AI approaches, including large language models and agent-based systems, • Experience working with cloud platforms (AWS, GCP, or Azure), • Understanding of distributed systems and scalable architectures, • Experience with CI/CD, microservices, and MLOps practices, • Ability to mentor and support engineers, • Strong collaboration and communication skills, • Experience working in Agile environments, • Degree in a relevant technical field (or equivalent experience) Tech Environment (indicative) • Backend languages (e.g. Python or similar), • Cloud platforms (AWS / GCP / Azure), • Containerisation and orchestration tools, • Infrastructure as code, • Observability and ML tooling, • Modern AI/LLM frameworks, • Relational and non-relational databases, • Version control and CI/CD tooling Benefits • Competitive salary, • 25 days’ annual leave + bank holidays, • Sick pay package, • Flexible / remote working, • Enhanced parental leave, • Pension scheme, • Career development opportunities Additional Information This role is not eligible for visa sponsorship.

About CleverChain CleverChain is a growth-stage RegTech company, an award-winning KYB platform recognised by Chartis Research for Best Know Your Business (KYB) and by Datos Insights for Best KYC/KYB Innovation. Our cloud-based platform automates compliance processes, streamlining customer onboarding and risk monitoring for financial institutions, fintechs, payment providers, and any organisation that needs to verify and manage their customers. We're at a pivotal moment of growth and looking to make critical hires that help us get there Role Overview We've recently built a new platform from the ground up, a multi-tenant, multi-region distributed microservices platform that serves as the foundation for all of our products. The platform was purpose-built to remove engineering as the bottleneck in product development: it provides a workflow and agent execution engine, a provider framework, and a tooling layer that allows our product teams to ship new agents, workflows, and products in days or weeks, not months. Because of this, the core engineering focus isn't building individual product features on repeat. It's building and maintaining the engine itself, extending its capabilities, expanding its toolsets, and ensuring the platform gives product teams and customers the flexibility they need to build on top of it without waiting for engineering cycles. We're looking for a Principal Software Engineer to join as one of the first hires on this platform. You'll work across the full backend, from database schema design and API implementation through to workflow orchestration, AI integrations, and infrastructure. This isn't maintenance work. It's building. The platform has genuine depth: multi-region deployments with data residency compliance, a durable workflow execution engine, autonomous AI agents, and a 3-tier database architecture with physical tenant isolation. You'll encounter hard problems regularly, and you'll have the room to solve them properly. Critically, this is a high-traffic, low-latency, high-availability platform. We're building toward handling millions of requests per day across multiple regions, and non-functional requirements such as scalability, data storage optimisation, latency, availability, cost optimisation are first-class concerns, not afterthoughts. Every feature you build needs to be designed with these considerations from the start. We service global financial institutions and are subject to some of the strictest regulatory requirements around data residency, data transfer, and information security. Security isn't bolted on, it's a foundational layer. Data isolation, encryption in transit and at rest, GDPR compliance, and jurisdictional data storage and processing are built into the architecture from the ground up, and you'll be expected to maintain and extend that standard in everything you build. What You'll Do • Build and extend the platform engine — new workflow node types, control flow improvements, human-in-the-loop infrastructure, provider capabilities, and tooling that product teams consume, • Design for scale and performance — optimise data storage patterns, manage connection pooling across a large number of tenant databases, reduce latency in high concurrency multi-tier data access and in workflow / agent orchestration, and ensure the platform handles high throughput without degradation, • Build event-driven integrations — services that subscribe to workflow and agent completion events and trigger downstream actions, extending the platform's reactive capabilities, • Integrate AI/LLM capabilities — Multi modal, tool calling / MCP, semantic routing, provider management, agent orchestration including A2A, token and cost tracking, streaming patterns, • Uphold security and compliance standards — tenant data isolation, encryption, access control patterns, credential management, and audit logging in a regulated financial services context, • Work across the data layer — schema evolution across multiple database tiers, migration tooling, tenant provisioning, query optimisation, and caching strategies, • Contribute to infrastructure — Terraform modules, Docker builds, CI/CD pipelines, deployment automation, monitoring and observability, • Maintain platform quality — comprehensive testing, strict TypeScript, shared library architecture, structured error handling, performance benchmarking Who You Are • End-to-end owner — you take problems from understanding through to deployment and monitoring. You don't wait to be told what to do next, • Platform thinker — you understand the difference between building a feature and building a capability. You design with product teams and customers in mind, • Performance-minded — you instinctively consider how things behave under load. It's part of how you think, not a box you tick before release, • Security-conscious — you treat security as a responsibility, not a checklist. You care about getting it right because the data matters, • Strong communicator — remote work demands clear writing. You're effective in PRs, documentation, and async conversations, • Pragmatic about quality — you care about code quality as a tool for moving faster, not as an abstract ideal. You write tests because they help, not because someone told you to, • Collaborative and open — you bring strong ideas to the table and you're happy to debate them, but you're equally comfortable being convinced otherwise Skills & Experience Must Have • Strong TypeScript / Node.js — you write strict, type-safe code and are comfortable with generics, decorators, and advanced patterns, • Backend framework experience — Express, NestJS, Fastify or similar structured MVC or modular frameworks with dependency injection, middleware, and guard patterns, • Relational database proficiency — schema design, migrations, indexing, query optimisation, transactions, and connection management at scale, • Containerisation — building, running, and debugging containerised services in local and production environments, • API design — RESTful services with proper authentication, authorisation, pagination, error handling, and rate limiting, • Performance and scalability — you've built systems that handle significant traffic. Caching strategies, connection pooling, query optimisation, and low-latency design are second nature, • Security fundamentals — encryption, secrets management, data access boundaries, audit logging. Experience in regulated industries is a strong plus, • Distributed systems experience — services communicating across network boundaries, consistency trade-offs, multi-region deployment challenges, • Durable workflow / orchestration engines — experience with systems that guarantee execution completion across failures and long-running processes (e.g .DBOS, Restate). Experience with Temporal is a strong plus., • Infrastructure-as-code — managing infrastructure declaratively with version-controlled tooling, • Testing — unit and integration testing, mocking strategies, high coverage targets, • CI/CD and Git — automated pipelines, branching strategies, PR-based workflows, • Event-driven patterns — pub/sub, message queues, event subscriptions, async processing, • Cloud infrastructure — deploying and managing services, databases, caching layers, and storage on a major cloud provider, • Multi-tenant architecture — database-per-tenant patterns, tenant isolation, data residency compliance, • AI/LLM integration — working with LLM provider APIs, function/tool calling, agent patterns, prompt engineering, • ORM tooling — type-safe database access with migration management, • Monorepo management — build orchestration, affected detection, shared library architecture Nice to Have • NoSQL databases — single-table design patterns, global replication, • RegTech, FinTech, or compliance domain experience, • Enterprise authentication providers — SSO, OIDC, SAML, directory sync, JWKS validation, • Real-time streaming — server-push patterns for live data delivery, • Workflow graph interpretation — topological sorting, branching logic, loop execution, • DSL Based Workflow Orchestration - Working with YAML/JSON-based domain-specific language allows the definition of workflows declaratively. What We Offer • Shape Our Future, Together: You'll be one of the earliest engineering hires. You'll have a direct hand in shaping not just the product, but how we build software and what kind of engineering team we become., • Build the Engine, Not the Features: Your work empowers product teams and customers to move fast. You're building capabilities and tooling, not grinding through feature tickets. It's platform engineering with real leverage., • Technical Depth: Multi-region infrastructure, durable workflow execution, AI agent orchestration, and a data architecture with real complexity. The problems here are interesting and the codebase is well-structured., • Flexible Hours: We have core hours for alignment, but we trust you to manage your time. Get the work done, pick the schedule that works for you., • Unlimited PTO: Take what you need to stay sharp and healthy. We trust you., • Direct Impact: In a small team, your work ships and matters immediately. You'll see the results of your contributions every day., • A Culture of Trust and Collaboration: Kanban-style workflow with minimal ceremony transitioning to full Agile / Scrum as we scale our team. Open and frequent communication, mutual respect, and a shared commitment to building something that matters. How to Apply Click apply and attach your CV. If you have a GitHub profile, side project, or writing that shows how you think about software, include it in your CV as we'd love to hear about it, but it's not required. Our process is a conversation about your experience, a practical technical discussion about real problems, and a short take-home exercise that reflects the kind of work you'd actually do here.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud-based communication platforms, including Microsoft Teams, Cisco BroadWorks, and Webex Calling. Our analytics help businesses enhance customer experience, optimize productivity, and drive performance across voice and collaboration channels. Job Summary We are seeking a Senior Platform Engineer with a deep understanding of AWS cloud infrastructure, Infrastructure-as-Code (IaC) tooling such as Terraform, and configuration management using Ansible. The ideal candidate will be a self-starter, passionate about Site Reliability Engineering (SRE) principles, and thrive in collaborative environments. You will play a pivotal role in automating infrastructure, improving reliability and scalability, and ensuring smooth CI/CD pipelines across multiple environments. You'll work closely with software engineering, and security teams to drive platform excellence. Key Responsibilities • Design, build, and manage scalable, secure, and resilient infrastructure on AWS using Terraform (modularized, reusable components)., • Implement configuration management solutions using Ansible, including playbook development, inventory structuring, and role-based automation., • Manage secrets securely using services such as AWS Secrets Manager or HashiCorp Vault., • Implement robust monitoring, alerting, and observability tooling (e.g., CloudWatch, Prometheus, Grafana, Datadog)., • Participate in incident response, root cause analysis, and resilience improvements., • Maintain and evolve CI/CD pipelines using tools such as GitHub Actions, Bitbucket Pipelines, or Jenkins., • Automate deployments for container-based workloads on ECS (Fargate), or Lambda, and manage supporting infrastructure., • Collaborate with development teams to optimize build/deploy cycles and reduce lead time for changes., • Ensure security best practices are embedded into infrastructure provisioning and pipeline execution., • Support compliance and auditing by implementing guardrails and controls as code (e.g., AWS Config, SCPs, IAM policy management)., • Some OOH work is required to maintain the production systems and also will be part of OOH critical ticket rota. Required Skills & Experience • 5+ years in DevOps, SRE, or Cloud Engineering roles., • Expertise in AWS core services: EC2, IAM, VPC, ECS/Fargate, CloudFormation, CloudWatch, RDS, DynamoDB, S3, Lambda., • Strong proficiency in Terraform (HCL) – including workspaces, modules, and Terraform Cloud or similar., • Ansible experience – developing roles, dynamic inventories, managing remote configurations., • Strong scripting knowledge (Bash, Python, or Go)., • Experience with container orchestration and deployment (Docker, ECS, or Kubernetes)., • Proficient with GitOps or IaC-based workflows., • Familiarity with Google SRE practices, particularly around reliability, observability, and operational excellence., • Understanding of systems reliability metrics and associated tooling Soft Skills & Behaviours • Self-driven with a bias toward action and ownership., • Excellent communicator, able to collaborate across disciplines and levels of technical understanding., • Experience working as part of a cross-functional team., • Comfortable working in agile environments (Scrum/Kanban).

We are partnering with one of London’s most selective and highest-performing quantitative investment funds to appoint a Senior Quant Software Developer to their core systematic trading group. This is a confidential mandate for a team renowned for world-class engineering standards, scientific rigour, and a culture built around high impact and low ego. The successful candidate will work at the intersection of quantitative research, data engineering, and high-performance software development — with code that moves rapidly from prototype to production and directly influences trading performance. The Role As a Quant Developer, you will: • Collaborate closely with quant researchers to productionise models and design scalable research/tooling infrastructure, • Develop high-performance, robust code across Python and C++, • Build and maintain data pipelines, research platforms, and components of the live trading stack, • Optimise system performance, reliability, and throughput across large-scale datasets, • Contribute to architectural decisions across the full research-to-execution workflow What We’re Looking For • Exceptional programming skills in Python and/or C++, with a focus on writing clean, performant production code, • Strong understanding of core CS fundamentals (algorithms, distributed systems, profiling, testing), • Experience in a systematic trading environment or quantitative data domain is highly advantageous, though not essential, • A problem-solver with the ability to work collaboratively in a highly technical, research-driven environment, • Humility, curiosity, and a desire to build systems that have real, measurable impact, • Computer Science or STEM degree from a good university Why This Role Stands Out • Opportunity to join a top-performing fund with a deeply technical culture, • Work directly with elite researchers and developers on complex, meaningful problems, • Highly competitive compensation with significant performance-based upside, • Exposure to world-class infrastructure, datasets, and compute environments, • A role where strong engineering truly drives investment performance

About us Founded in 2008, CitNOW is an innovative, enterprise-level software product suite that allows automotive dealerships globally to sell more vehicles and parts more profitably. CitNOW’s app-based platform provides a secure, brand-compliant solution – for dealers to build trust, transparency and long-lasting relationships. CitNOW Group was formed in 2021 to unite a portfolio of 12 global software companies leveraging innovation to aid retailers and manufacturers in delivering an outstanding customer experience. We have over 300 employees worldwide who all contribute to our vision to provide market-leading automotive solutions to drive efficiencies, seamlessly transforming every customer moment. The CitNOW Group is no ordinary technology company, we live a series of One Team values and this guiding principle forms the foundation of CitNOW Group’s award winning, collaborative and inclusive culture. About the role We’re looking for an experienced Data Architect to define and implement our group-wide, end-to-end data architecture. This is a critical role aligned with our vision for fully connected automotive dealer platforms. You will be accountable for how data is moved, stored, modelled, governed, and consumed across our products and platforms. This is a hands-on, strategic position, responsible for setting technical direction, making key architectural decisions, unifying multiple data architectures and enabling teams to execute effectively against the long-term vision. Key responsibilities include: Data Architecture and Modelling • Define and own the data architecture across the organisation, ensuring consistency, quality and accessibility of information, • Guide how data should be modelled, • Define standards and blueprints for integration and data architecture Data Platform Strategy • Provide direction to existing teams on infrastructure choices, tooling and architectural patterns, • Define how the data platform fits into wider system architecture (AI/ML, reporting, applications, integrations etc), • Set standards for ingestion, transformation, storage, and serving of data, • Balance short-term delivery with long-term architectural health, • Ensure the platform supports AI/ML readiness Data Governance • Define standards for ownership, contracts, versioning etc., • Embed data quality, lineage, and observability into architectural decisions, • Work with teams to ensure data governance enables speed rather than blocking it, • Data security and compliance frameworks Leadership • Act as the technical authority for the wider data team, reviewing designs and unblocking complex architectural decisions, • Collaborate across multiple different teams and stakeholders to align priorities, • Line management responsibilities may be required We're looking for experience across the following areas: Data architecture • Data platform design, • Data modelling, cataloguing and associated governance, • Data lakes, distributed storage, • Metadata management, • Experience with Snowflake is preferred Cloud & Platform Architecture • Proficient in AWS, but familiarity with Azure/GCP also useful, • Strong understanding of cloud computing principles (and ideally the AWS core services that deliver them), • IaC literacy (ideally Terraform) Architectural Governance • Establishing architectural patterns without slowing down individual teams or reducing autonomy, • Creation of reference architectures for others to adopt and follow In addition to a competitive salary, our benefits package is second to none. Employee wellbeing is at the heart of our people strategy, with a number of innovative wellness initiatives such as flexi-time, where employees can vary their start and finish times within our core business hours and/or extend their lunch break by up to 2 hours per day. Employees also benefit from an additional two half days paid leave per year to focus on their personal wellbeing. We recognise the development of our people is vital to the ongoing success of the business and proudly promote a culture of continuous learning and improvement, along with opportunities to develop and progress a successful career with us. The CitNOW Group is an equal opportunities employer that celebrates diversity across our international teams. We are passionate about creating an inclusive workplace where everyone’s individuality is valued. View our candidate privacy policy here - ___

The Client - Investment Firm (via Tempest Vane Partners) We’re partnering with a globally recognised, technology-driven investment firm to hire a Senior Infrastructure Engineer to help design and automate large-scale hybrid infrastructure across Windows and cloud environments. This is a hands-on engineering role focused on automation, reliability, and platform scalability, not ticket-based support. What you’ll work on You’ll be responsible for designing and improving core infrastructure systems that support large-scale, data-intensive workloads: • Build and evolve Windows-based infrastructure (Active Directory, core services, enterprise systems), • Develop and maintain Infrastructure-as-Code (Terraform, Ansible, Puppet, or similar), • Automate operational processes and reduce manual workload, • Support and expand Azure and AWS cloud environments, • Improve system performance, reliability, and observability, • Work closely with engineers and traders on high-performance systems What we’re looking for: You don’t need to tick every box, but strong experience in several of the following is important: • Strong scripting/coding ability (PowerShell, Python, Go, or Shell), • Experience with Infrastructure-as-Code tools (Terraform, Ansible, Puppet, etc.), • Strong Windows infrastructure knowledge (Active Directory, Windows Server, enterprise environments), • Understanding of storage, virtualisation, and distributed systems, • Experience with AWS and/or Azure, • Exposure to monitoring, logging, and observability tooling, • A mindset focused on automation, ownership, and continuous improvement Why this role • High-impact engineering work in a business-critical environment, • Full ownership of systems, build and run responsibility, • Significant scope for automation and platform modernisation, • Work in a lean engineering team with low bureaucracy, • Direct exposure to large-scale, performance-sensitive systems Ideal background This role may suit engineers from: • Infrastructure / Platform Engineering, • SRE / DevOps roles, • Windows-heavy enterprise environments moving into cloud, • Financial services or similarly complex regulated environments 📩 Interested? If you’re open to a confidential conversation, apply or message directly. We’re especially interested in engineers who enjoy solving complex infrastructure problems with automation-first thinking.

Futureheads have exclusively partnered with a fast-growing data & AI agency, who help clients turn complex data into actionable insight, to hire a Mid-weight Technical Project Manager. £375-£430 a day Outside IR35 3 month initial contract with look to extend This person will play a key role in shaping and improving how projects are run, building out processes, and keeping multiple client engagements on track across a variety of tools and workflows. AI is at the core of what they do, so you’ll need to be comfortable in that world, but you don’t need to come specifically from an AI agency background. You mus have worked with Ai as a concept! The role: You’ll sit at the heart of delivery, owning the day-to-day running of several concurrent client projects across data, analytics and AI. You’ll translate briefs into clear plans, co-ordinate technical and non-technical teams, and make sure work lands on time, on budget and to a standard clients are excited about. A big part of the role is tightening up process – putting in structure where things are ad hoc today and helping the team scale. This is not for someone who has only worked on large enterprise project management roles- you need to be comfortable in an agency and start-up setting. What you’ll be doing: • Managing end-to-end delivery of multiple client projects, from kick-off through to completion., • Building and maintaining project plans, tracking milestones, risks, dependencies and budgets., • Acting as the main day-to-day contact for clients: sharing updates, managing expectations and handling questions., • Turning client requirements into clear scopes, timelines and deliverables for data, analytics and AI teams., • Keeping on top of project hygiene: status reports, action logs, RAID items and meeting notes., • Using modern tooling (e.g. Jira, Asana, Float or similar) to manage workloads, capacity and burn rates., • Working closely with delivery and technical leads to remove blockers and keep momentum., • Spotting opportunities to improve how projects are run and suggesting simple, practical process changes. About you: • Experience as a Project Manager in an agency, consultancy or similar multi-client environment where you have autonomy and improved projects with personality and technical knowledge., • Confident running several projects at once, with strong organisation and attention to detail., • Comfortable working with technical teams (data, engineering, AI) and translating between “business” and “tech”., • Curious about data and AI: you understand the basics and are happy to learn more as you go., • Clear, confident communicator who builds good relationships with both clients and internal teams., • Calm under pressure, solutions-focused, and happy taking ownership rather than waiting to be directed. Tools & ways of working • Used to working with common delivery tools (e.g. Jira, Asana, Trello, Float or equivalents)., • Familiar with basic delivery metrics like burn, utilisation and velocity., • Comfortable documenting work in a way others can easily follow and pick up. If you’d like, I can now add a short “About the client” and “Why now / why it’s interesting” section tailored to how you pitch roles on LinkedIn.

🔎 Platform / Cloud Engineer (Rust) 🚀 Early-Stage B2B SaaS - Connected Business Planning 🇬🇧 100% Remote (UK) 💷 Up to £95,000 + Benefits 🧠 Mid-Senior Level The Opportunity A well-backed, pre-launch SaaS company is building the platform that replaces spreadsheets as the way product-based businesses plan, forecast, and make decisions. Think a live, connected model of an entire business - P&L, inventory, demand, margins, all updating in real time as the business changes. The engineering team is small, senior, and building something genuinely hard: a calculation engine that keeps every number consistent across an entire organisation, with AI on the roadmap. The infrastructure is being built right now, from the ground up, and they need someone to own it. This is a rare chance to shape the cloud and platform foundations of a product at the moment it matters most - before launch, while the architecture decisions still count. What You'll Do • Design and build Kubernetes infrastructure on AWS from early-stage architecture, • Own infrastructure-as-code (Terraform) and CI/CD pipelines, • Work closely with a Rust-heavy backend team, understanding and integrating with the codebase, not just operating it, • Establish observability practices across the platform (metrics, logging, tracing, alerting), • Contribute to decisions around self-hosting LLMs as AI becomes part of the product, • Document systems and share knowledge proactively. You'll be the most specialised engineer on the team and they want the whole team to grow with you What We're Looking For • AWS - deep working experience, • Kubernetes in production (EKS or self-managed), • Terraform or equivalent IaC, • Observability tooling (Prometheus, Grafana, OpenTelemetry or similar), • Rust - You don't need to be an expert, but enough working knowledge to read the codebase and understand what's happening Nice to have: • Early-stage startup experience, • CI/CD pipeline ownership (GitHub Actions, ArgoCD or similar), • Any exposure to LLM infrastructure or AI/ML platform work Experience Level We're open to strong mid-level engineers as well as senior candidates. If you've got solid AWS and Kubernetes foundations, care about building things properly, and want real ownership, we want to hear from you. Depth matters more than years on a CV. Benefits • A priority focus on Work-Life Balance (no expectation of working weekends or long hours - we're not pushing last-minute deadlines and overworking, we're hiring with strategy and purpose), • Salary up to £95k, • 30 days holiday + local national holidays, • Flexible Hours, • Equity, • Remote working, • Home equipment set up

About the Company - Emirates Engineering is currently seeking experienced Licensed Aircraft Engineers to join our team in Dubai. If you're looking for an exciting opportunity in a dynamic environment, this could be the perfect fit for you. About the Role - As a Licensed Aircraft Engineer at Emirates Engineering, you will be responsible for carrying out routine maintenance tasks and defect rectification of aircraft in accordance with company and regulatory procedures. Key responsibilities include conducting aircraft maintenance and servicing tasks, ensuring compliance with safety and manufacturer procedures, and maintaining effective communication with colleagues and supervisors. Responsibilities - • Perform aircraft maintenance and servicing tasks according to manufacturer and safety procedures., • Ensure assigned zones/aircraft are maintained as per the latest revisions of approved technical publications., • Handle off-aircraft tasks such as spares handling and documentation in compliance with company procedures., • Determine and use appropriate tooling/equipment for tasks, ensuring cost-effective and efficient troubleshooting., • Carry out component changes as necessary, following AMM, IPC, or manufacturer documentation., • Adhere to safety rules and regulations, maintain excellent housekeeping conditions, and report any deficiencies., • Communicate effectively with colleagues, managers, and senior engineers to highlight operational issues and ensure seamless information flow., • Complete detailed reports on service delays, incidents, and accidents to facilitate maintenance planning and improvement., • Manage staff performance through performance reviews, goal setting, and development plans., • Attend training modules as required to enhance skills and comply with CAR 145 requirements. Qualifications - Bachelor's degree or equivalent (apprenticeship) in Engineering. Minimum 5 years of experience in engineering as a certifying staff. About Emirates - At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. If you're looking for a challenging and rewarding opportunity in aircraft engineering, apply today for our Licensed Aircraft Engineer role! Please note: This position is based in Dubai, United Arab Emirates. Relocation assistance will be provided..

Founded by ___, creator and co-founder of ___ (Series B, $425M valuation), Colossal is building at the intersection of generative app development and commerce infrastructure. Think: Lovable for commerce. We're backed by Tier 1 investors: ___, ___, ___, and are planning to raise our seed round later this year. Why Colossal? We're building the world's first AI-native commerce infrastructure platform, working with bleeding edge technologies and paradigms to redefine how businesses sell online. Join our early team and help shape the future of AI commerce. We’re still in stealth, so get in touch to learn more. 🥷 What we’re looking for • 5+ years experience building service-oriented software products end to end, ideally at early-stage startups, • A strong understanding of AI-based developer tools, methods and paradigms, • Generalist mindset with experience across the full stack, • Strong understanding of CI/CD, cloud infrastructure, observability, and developer tooling, • Comfortable owning products and features end to end, and taking responsibility for performance and optimisation, • Strong communicator, able to distribute knowledge across the team effectively through documentation, talks, demos and presentations What you’ll do • Build and own core backend services for our commerce infrastructure tools, including billing, workflows, and financial operations, • Build features that integrate AI into real-world product experiences, • Play a key role in software architecture design, including research, writing POCs for further refinement How we hire • Initial call with the founder (30 mins), • Complete a take home exercise, • Task review and pair programming with a team member (1 hour), • Meet with the product team for 2-way interview (30 mins), • Offer stage (including reference checks) To apply, please send your resume and a brief intro describing your interest to:

About Us: Beazley Security is a global cybersecurity firm committed to helping clients enable advanced cyber defenses that reduce risk with quantifiable results. We’re comprised of top talent from private industry, government, intelligence, and law enforcement who are specialists in threat detection, incident response, digital forensics, offensive security, risk management, and cyber resilience. As a subsidiary of specialty insurance giant, BeazleyInsurance, we’ve been at the forefront of cyber insurance management and breach response activities for business clients in the US, UK, and Europe since 2017. As Beazley Security, the company will have an expanded scope, leveraging nearly two decades of cyber incident experience, a strong services division, and a business strategy focused on growth, to realize our goals and deliver benefit for clients. As a company, we are committed to upholding our core values of Belonging, Integrity, Service, Accountability, and Curiosity. We believe these values are essential to creating a strong and inclusive workplace culture, as well as to delivering world-class cybersecurity solutions to our clients worldwide. As Beazley Security, these values will continue to thrive, with an extra emphasis on expansion of our capabilities and capacity in helping solve unique client challenges. Summary: Beazley Security is seeking a Director of Engineering to lead and scale our software engineering function across multiple product teams building secure, high-performance applications that power our cybersecurity products and services. You’ll set technical direction, strengthen team health, and drive delivery excellence across an organization operating with modern engineering practices including cloud-native architectures, containerization, scalable service design, CI/CD, infrastructure-as-code, and DevSecOps standards. Reporting to the Deputy Chief Product & Technology Officer, you’ll partner closely with Product, Security, IT, and other stakeholders to translate business objectives into dependable engineering execution. You will also help shape our AI strategy, both in how our products responsibly leverage AI capabilities and in how our teams use AI-assisted development tools to securely accelerate delivery, while evolving the engineering team into a scalable, multi-tier organization that supports Beazley Security’s continued growth. This role is ideal for a technical leader with deep software development expertise who thrives at the intersection of people management, product growth, and strategic thinking in a fast-paced, security-conscious environment. Key Responsibilities: Technical Leadership & Strategy • Define and execute the engineering strategy in alignment with Beazley Security’s product roadmap and business objectives, partnering with the Deputy CPTO, CPTO, and Director of Product on long-term technical vision., • Lead architectural planning across all product lines ensuring systems are designed for scalability, reliability, security, and maintainability., • Guide technology decisions, development frameworks, tooling, and infrastructure standards across engineering teams., • Evaluate and adopt emerging technologies, including cloud-native architectures, microservices, and modern DevOps practices, to keep the engineering function at the leading edge. Team Leadership & Management • Directly lead and mentor a growing engineering team evolving the organization from a flat structure into a scalable, multi-tiered team with engineering managers and technical leads over time., • Drive performance management and career development across the team while fostering a culture of accountability and curiosity., • Define the engineering org structure and resourcing plans to support company growth including succession planning and leadership development., • Guide and coordinate outsourced engineering partners alongside the in-house full-time Engineering team by leveraging subcontracting relationships while ensuring both standards and delivery goals are consistently met. Platform Engineering & Reliability • Ensure all products operate reliably on a 24/7 basis, including uptime, incident response, and on-call processes., • Partner with IT to own and manage cloud infrastructure across AWS and Azure, ensuring environments are secure, cost-efficient, and aligned with security and compliance requirements., • Establish and maintain observability, monitoring, and alerting practices to proactively identify and resolve system health issues., • Continue to evolve and optimize our infrastructure-as-code practice and CI/CD pipelines, strengthening deployment automation to further improve delivery velocity and reliability. Project & Delivery Oversight • Oversee execution of engineering projects across multiple product teams ensuring timely delivery and code quality while aligning with the goals of the roadmap and products., • Collaborate with Product to scope and prioritize engineering work within agile delivery frameworks., • Remove blockers and enable teams to operate efficiently and independently while balancing speed with quality and security., • Establish delivery metrics and reporting cadences to provide visibility into engineering velocity and capacity and risk. Cross-Functional Collaboration • Serve as the primary engineering liaison across departments within Beazley Security., • Ensure technical alignment with Beazley Security’s cybersecurity service offerings and evolving client needs., • Partner with Finance to track engineering spend across products and support software capitalization (CapEx) reporting., • Represent the engineering perspective in leadership discussions and planning sessions and client-facing conversations as needed. Engineering Operations • Establish and continuously improve engineering workflows, coding standards, testing practices, code review processes, and deployment pipelines., • Define and monitor key engineering KPIs and quality metrics., • Champion a culture of secure development ensuring security is embedded in the SDLC through practices., • Foster a collaborative, inclusive, and high-trust engineering culture where innovation and continuous learning are valued. Engineering Innovation • Own and drive the AI strategy across the engineering organization through product-facing AL capabilities and internal engineering productivity tooling., • Help define and ensure policies and best practices are met for the secure and responsible adoption of AI-assisted coding tools (e.g., code generation, automated testing, AI-powered code review) across the team., • Collaborate with product leadership to identify opportunities where AI and machine learning can enhance Beazley Security’s cybersecurity service offerings and client value., • Stay current with advancements in AI and assess its applicability to engineering workflows and product features to suggest improvements. Qualifications: • 8+ years of professional software engineering experience with at least 3–5 years in engineering leadership roles managing multi-team or multi-product engineering functions., • Proven track record of building, scaling, and retaining high-performing technical teams, including experience evolving organizational structures as teams grow., • Strong technical foundation in modern software development (e.g., Python, Node.js, TypeScript, Go) and cloud-native development on AWS Fargate and/or Azure EKS., • Experience working in or adjacent to environments where security and compliance are paramount., • Deep understanding of engineering best practices including CI/CD, agile methodologies, infrastructure-as-code, secure coding, and DevSecOps., • Experience with AI capabilities to help guide AI usage within products and in adopting AI-powered developer tools across the engineering team would be preferred., • Experience managing cloud infrastructure partnerships with IT including cost optimization, security hardening, and multi-cloud environments., • Experience leading or integrating outsourced/subcontracted engineering teams alongside in-house staff., • Excellent leadership, communication, and stakeholder management skills. Beazley Security offers: • Fully remote work opportunities to fit your lifestyle., • Competitive salary with a commission structure., • Flexible working arrangements to support balance., • Generous parental leave to support your family., • Private healthcare for your peace of mind., • A strong pension scheme to help secure your future., • A lifestyle allowance to enhance your well-being., • Life insurance and long-term disability coverage for added security., • Opportunities to grow through career advancement and ongoing training., • Access to industry conferences and events for professional development.

Senior AI Infrastructure Engineer (OpenStack & Kubernetes) Location: Remote (UK or EU Preferred) Sector: High-Performance GPU Cloud Computing The Opportunity I am representing a fast-growing, international scale-up that is building next-generation GPU cloud infrastructure. This company is the powerhouse behind a high-performance platform designed specifically for the most demanding AI, Machine Learning, and HPC workloads. As they scale their global footprint to meet massive demand, they are seeking a Senior Infrastructure Engineer who enjoys deep technical autonomy. This is a role for a specialist who wants to move fast, solve complex problems, and have direct ownership over the stability and scalability of business-critical systems. What You’ll Be Doing • Owning Infrastructure: Designing, deploying, and operating OpenStack and Kubernetes clusters optimized for multi-tenant GPU workloads., • Driving Automation: Building and maintaining infrastructure-as-code and GitOps practices to ensure seamless scalability., • Optimizing Performance: Enabling reliable workload scheduling through Kubernetes-native tooling, container runtime optimization, and NVIDIA integrations., • Ensuring Resilience: Maintaining high availability and observability through proactive monitoring, logging, and incident response., • Strengthening Security: Implementing strong controls, including RBAC and network policies, to ensure tenant isolation., • Cross-Team Collaboration: Working closely with DevOps, AI, and Product teams to align infrastructure capabilities with customer needs. The Ideal Profile • OpenStack Expert: Significant hands-on experience operating OpenStack in a production environment., • K8s Specialist: Strong experience running production-grade Kubernetes, ideally in bare-metal or private cloud setups., • Systems Generalist: A solid grounding in Linux, networking, and storage with a practical approach to troubleshooting., • Modern Workflows: Experience with infrastructure automation, CI/CD, and Git-based workflows., • Scale-up Mindset: The ability to thrive in a fast-moving environment with a strong sense of accountability. Nice to Have • Exposure to GPU-based infrastructure, large-scale compute platforms, or HPC., • Familiarity with advanced networking technologies., • Contributions to open-source or cloud-native communities. What’s on Offer? • Impact: The opportunity to make a visible, meaningful impact on a platform used by teams running compute-heavy applications., • Flexibility: Flexible working arrangements, including remote or hybrid options., • Growth: Clear career progression and the chance to help shape the company's culture and future., • Culture: A collaborative, transparent, and international culture built on trust., • Benefits: Competitive salary, annual discretionary bonus, 25 days holiday (plus public holidays), and wellbeing benefits.

Important A CV and a short cover letter are required for this role. Applications submitted without BOTH will not be reviewed. If you are unable to attach a cover letter via LinkedIn, please email it to , including your NAME, the ROLE TITLE, and CONFIRMATION THAT YOU HAVE APPLIED ON LINKEDIN in the subject line. Please complete all follow-up questions to progress to the next stage. Salary: £60,000 - £70,000 DOE About iQ HealthTech At iQ HealthTech, we are dedicated to improving healthcare outcomes through innovative technology. Our flagship product, iQemo, supports safer and more efficient electronic systemic anticancer treatment (SACT) prescribing and is used by the NHS, private healthcare providers in the UK, Australia and beyond. As we continue to expand into new regions, our systems are built to operate in complex, regulated healthcare environments worldwide. Our systems support clinicians making critical decisions every day. Reliability, clarity and thoughtful engineering matter here. As we grow into new regions, we design our platforms to scale across jurisdictions, healthcare models and regulatory expectations without losing focus on quality or safety. Role Summary We are looking for a hands-on Platform and Cloud Engineer to help strengthen, simplify, and scale the cloud and delivery platform behind our products. This is a key role in a small but ambitious UK healthtech company operating in a regulated environment. Our core product, iQemo, is a cloud-hosted electronic chemotherapy prescribing solution used in oncology care. We also operate an Insurer Portal and support a growing data services capability. The role suits someone with strong Azure infrastructure, Kubernetes, CI/CD, and DevOps capability, combined with a practical, service-oriented mindset. You will improve reliability, observability, deployment maturity, security posture, and infrastructure consistency, while working closely with developers to reduce operational friction and support more frequent, lower-risk releases. We are looking for someone technically strong, pragmatic, and calm under pressure, who is comfortable taking ownership of a cloud estate where priorities matter and good judgement counts. Why Join Us? • Fully remote role with flexible working options, • Personal development plans, including a professional development/training budget, • 25 paid holiday days plus bank holidays (your birthday off too!), • Enhanced maternity and paternity pay, • 4% employer contribution to company pension scheme, • Access to wellbeing apps, • Government-set working from home monthly allowance, • An opportunity to make a real difference by developing technologies that improve patient outcomes, • Paid out-of-hours developer support rota once onboarded, • Competitive salary with regular reviews and opportunities for growth, • Work with innovative systems serving both national private providers and the NHS Duties and responsibilities You will own and improve the cloud and platform foundations that support our products and engineering team. That includes Azure architecture and operations, Kubernetes platform support, CI/CD pipeline improvement, infrastructure as code, monitoring and alerting, identity and access configuration, environment reliability, and operational support. You will also play an important role in strengthening our security and compliance posture, supporting controls aligned with frameworks such as Cyber Essentials, SOC 2, and ISO 27001, and helping ensure our infrastructure and delivery practices are appropriate for a regulated healthtech SaaS business. As part of a small organisation, the role includes broader technical operations such as infrastructure troubleshooting, Microsoft 365 and Entra administration, networking support, and occasional out-of-hours work for critical issues or planned changes. Participation in a paid out-of-hours support rota is required once fully onboarded. Platform, cloud, and infrastructure • Own and improve our Azure environment architecture, configuration, maintenance, and operational health., • Support and evolve our cloud platform to improve stability, resilience, observability, security, and cost control., • Manage and support Kubernetes-based workloads, including deployments, configuration, troubleshooting, scaling, and operational reliability., • Maintain and improve core infrastructure services, environments, and platform components across development, test, and production., • Support infrastructure standardisation and simplification to reduce operational overhead and environment drift., • Build, maintain, and improve CI/CD pipelines to support faster, more reliable releases., • Work closely with developers to improve deployment automation, environment consistency, rollback capability, and release confidence., • Support a move from heavy, manual release processes toward more automated, repeatable, and controlled delivery., • Improve developer experience by reducing platform friction and making environments and deployment paths easier to use and support., • Maintain and extend Terraform-based infrastructure as code., • Improve automation for environment provisioning, configuration, deployment, and operational support tasks., • Support a proportionate, risk-based security posture across cloud infrastructure and delivery pipelines., • Contribute to infrastructure and operational controls aligned to Cyber Essentials, SOC 2, and ISO 27001 expectations., • Support secure identity and access management across Azure, Entra ID, and Microsoft 365., • Help improve secrets management, patching, vulnerability management, auditability, backup and recovery, and incident readiness., • Improve monitoring, logging, alerting, dashboards, and operational visibility across environments and services., • Support troubleshooting of infrastructure, deployment, networking, and platform issues., • Assist with server management and environment support, including some out-of-hours support where required., • Support SSO and identity-related platform configuration in Azure / Entra., • Help resolve networking issues to and from our infrastructure., • Support administration and management of Entra ID and Microsoft 365 services where needed., • Provide broader technical operations and IT platform support appropriate to a small company environment. Key Skills Essential experience and skills • 6+ years’ experience in a relevant Platform Engineer, Cloud Engineer, DevOps Engineer, or Infrastructure Engineer role., • Strong hands-on experience with Microsoft Azure in production environments., • Strong experience building and maintaining CI/CD pipelines., • Practical production experience with Kubernetes, including deployment, troubleshooting, monitoring, scaling, and operational support., • Strong experience with Terraform or comparable infrastructure-as-code tooling., • Experience with Argo CD, GitOps approaches, or equivalent modern deployment tooling., • Strong understanding of cloud networking, access control, and infrastructure troubleshooting., • Experience improving platform reliability, observability, and operational readiness., • Experience supporting security controls and infrastructure compliance in a business-critical environment., • Good understanding of identity and access technologies including Entra ID / Azure AD, SSO, and Microsoft 365 administration., • Able to work closely with software developers and act as an enabling technical partner, not just an infrastructure gatekeeper., • Experience in healthtech, regulated SaaS, or another compliance-driven environment., • Experience with frameworks such as Cyber Essentials, SOC 2 or ISO 27001, • Experience with observability tooling, incident response processes, and production support improvement., • Experience managing or supporting Windows servers and mixed environments., • Experience with SQL Server, database administration, or performance/support troubleshooting., • Experience moving teams from manual to automated delivery processes, • Calm, pragmatic, and reliable under pressure., • Strong ownership and follow-through, • Good judgement about risk, especially in live and regulated environments., • Able to balance speed with control., • Collaborative with a strong service mindset, • Comfortable with both strategic improvement and hands-on work, • Clear communicator across technical and non-technical audiences Why this role matters This role is central to improving platform stability, reducing delivery risk, strengthening security, and enabling more reliable and frequent releases. It supports the foundations needed for future product growth, interoperability, and data capability. In the first 12 months, you will improve platform stability, security, and scalability, enabling smoother releases, stronger monitoring, and less friction for engineers. Our Recruitment Process We’re committed to maintaining a safe and compliant workforce. The successful applicant will be appointed subject to satisfactory references and a basic DBS check. Applicants must have the legal right to live and work in the UK; we are unable to offer sponsorship.

Director of Engineering – Platform Intelligence 📍Full Remote (UK /Germany/USA) We’re partnering with a high-growth, product-led SaaS business to hire a Director of Engineering to lead a Platform Intelligence function focused on AI-driven product innovation. This is a hands-on leadership role combining engineering management, delivery ownership, and cutting-edge work across GenAI and data-driven product features. The Role You’ll lead a cross-functional squad (engineers, QA, product, design) delivering AI-powered features and data-driven capabilities into a modern SaaS platform. This role sits at the intersection of engineering, data science, and product, with a focus on turning complex models and emerging AI capabilities into real, user-facing value. What You’ll Be Doing • Leading the delivery of AI and GenAI-powered product features end-to-end, • Translating data science outputs into scalable platform features (UI + APIs), • Driving adoption of AI tooling and AI-assisted development practices, • Owning roadmaps, delivery planning, and execution across multiple initiatives, • Managing and developing a high-performing engineering team, • Collaborating with Product, Design, and Data teams to deliver impactful solutions, • Improving delivery predictability, quality, and engineering processes, • Managing cross-team dependencies and stakeholder expectations, • Partnering with architecture on technical direction and system design What They’re Looking For • Proven experience leading engineering teams in SaaS environments, • Strong understanding of full-stack systems and API-driven architecture, • Experience delivering AI / ML / GenAI-powered features into production, • Solid knowledge of LLMs, prompt engineering, RAG, or agent-based systems, • Experience working closely with Data Science / Data Engineering teams, • Strong delivery mindset with experience owning roadmaps and execution, • Comfortable operating in fast-paced, cross-functional environments Nice to have: • Experience with modern stacks (TypeScript, Node, cloud platforms), • Exposure to data platforms / warehousing (e.g. Snowflake), • Strong Agile / Scrum background Why Join? • Lead a team building next-generation AI-powered SaaS products, • High-impact role with real ownership across product and engineering strategy, • Fully remote, globally distributed team, • Opportunity to shape how AI is embedded into real-world products at scale