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Full Stack Product Engineer - London (will need to relocate if not in London) We’re looking for a Full Stack Product Engineer to help build and scale a high-growth product in a fast-paced environment. This role is ideal for someone who enjoys working across the stack, shipping features quickly, and solving real user problems. Responsibilities • Build and own user-facing features end-to-end, • Develop new product capabilities (including AI-powered features), • Optimise application performance, scalability, and reliability, • Work closely with users to understand needs and deliver solutions, • Experience in product-focused engineering environments, • Strong skills in TypeScript, Node.js, and React, • Experience with modern frontend tooling (e.g. Tailwind or similar) is a plus, • Solid knowledge of relational databases (e.g. PostgreSQL), • You’re a hands-on builder who enjoys creating products from scratch, • Comfortable working in fast-paced, evolving environments, • Interested in startup or high-growth settings, • Collaborative, pragmatic, and user-focused, • London-based role with primarily in-office working, • Competitive salary + great list of benefits, • Relocation support available for candidates moving to London from within the UK

Job Title : Associate Specialist Grade – General Adult Psychiatrist Location : Atrom Mindcare, Epping, Essex - Predominantly on-site with a small number of pre-planned remote sessions Contract : Full-time or Part-time (flexible working considered) Reporting To: Clinical/Medical Director About Atrom Mindcare Atrom Mindcare is a modern, holistic and progressive psychiatric clinic based in Epping. We provide high-quality, evidence-based mental health care through a multidisciplinary approach, combining clinical excellence with innovative technologies. We are a Designated Body and place strong emphasis on clinician development, wellbeing, and high standards of governance. Role Overview We are seeking a motivated and compassionate Associate Specialist Grade General Adult Psychiatrist to join our growing service. The post-holder will work primarily on-site and contribute to both NHS and private services, with opportunities to develop specialist skills in neurodevelopmental psychiatry and interventional treatments. Key Responsibilities Clinical Duties Conduct Adult ADHD assessments for NHS patients referred via the Right to Choose (RTC) pathway o Prescribe and manage medication for ADHD under the titration pathway, where clinically indicated o Undertake Adult ASD diagnostic assessments in line with recognised standards o Deliver Deep rTMS (repetitive Transcranial Magnetic Stimulation) using BrainsWay technology for private patients with: o Treatment-resistant depression o Obsessive Compulsive Disorder (OCD) o Provide high-quality, patient-centred psychiatric care in line with GMC and Royal College of Psychiatrists guidance Multidisciplinary & Professional Responsibilities o Participate in MDT meetings, case discussions and service development o Engage in clinical supervision, annual appraisals, and revalidation processes o Maintain accurate and timely clinical documentation (with administrative burden minimised through Heidi AI) o Contribute to a culture of learning, quality improvement and clinical governance Training & Support o Full training provided in Deep rTMS and BrainsWay technology o Access to clinical supervision, peer support, and structured appraisal o Support for professional development within a designated body framework Person Specification o Essential § GMC registration with licence to practise § Experience working in General Adult Psychiatry § Competence in psychiatric assessment, diagnosis and medication management § Ability to work effectively within a multidisciplinary team § Commitment to high standards of clinical care and patient safety o Desirable § Experience in Adult ADHD and/or ASD assessments § Experience prescribing ADHD medications § Interest in interventional psychiatry or neuromodulation treatments § Section 12 approval (or willingness to obtain) What We Offer o Flexible full-time or part-time working arrangements - working as an employee. o Reduced administrative workload through AI-supported documentation o Supportive, forward-thinking clinical environment o Opportunities to develop specialist interests and new skills o Modern facilities and access to innovative psychiatric treatments Equal Opportunities o Atrom Mindcare is committed to equality, diversity and inclusion. We welcome applications from all suitably qualified candidates.

Shape Your Career with TMC – Emergency Radiologist Opportunity | Relocation Opportunity to Australia, New Zealand or Japan. Join Europe’s leading tele-radiology network and redefine your work-life balance while delivering world-class diagnostics from Australia. At Telemedicine Clinic (TMC), a Unilabs company, they empower radiologists to thrive professionally while enjoying unmatched flexibility and support. To expand their team, we are searching for emergency radiologists eligible to work in Sweden, Denmark, or United Kingdom to relocate to Australia, for a minimum of 12 to 24 months. Japan for 3 or 6 months, or New Zealand for a minimum 12 months. The TMC emergency radiologist will be part of the Emergency section. This section aims to deliver high-quality radiological diagnostic services to our healthcare clients and the patients in a timespan of a maximum 1 hour, or less in case of stroke cases. Why Join Us? • The opportunity to work from Australia, Japan or New Zealand., • Competitive pay with attractive additional income, • Become a sub-specialist in Emergency Radiology, • Access cutting-edge AI tools and our proprietary RIS for efficient reporting (TMC is one of the leading adopters of AI in Europe), • Join a supportive international community of expert radiologists, • 24/7 IT support and a full home workstation provided, if not reporting from the office, • Free access to TMC-Unilabs Academy for CME-accredited training and fellowships (over 250 hours of free education), • Opportunities for leadership, teaching, and research roles, • Strong clinical governance and quality assurance through internal/external audits, • Visas paid for and done by TMC, as well as relocation costs covered What We’re Looking For • Medical doctor with a specialist degree in diagnostic radiology, • Minimum 1 year as a Consultant Radiologist, • Registration with Swedish, Danish, Norwegian or UK medical authorities (or eligibility to obtain it), • Ability to report in the language of at least one of those countries, • Proficiency in English (our corporate language), • Comfortable with digital tools and reporting systems, • Proactive, organised, and solution-oriented mindset, • Strong communication skills

Clinical AI Author – Specialist Physicians (ACAI Program | United Kingdom) Company MetaQare Global Holdings Location: Remote (United Kingdom) Type of Collaboration: Consulting / Independent Professional Engagement Company Address: MetaQare Global Holdings 254 Chapman Rd, Ste 208 #24871 Newark, Delaware 19702, USA Position Overview MetaQare is selecting a limited group of 100 highly respected and influential specialist physicians in the United Kingdom, including Consultants, Clinical Leads, Heads of Department, Medical Directors, Academic Clinicians, and recognised clinical opinion leaders, to join its international program Authors of Clinical AI (ACAI). ACAI is an elite global medical collaboration in which experienced physicians contribute their clinical reasoning, guideline-based expertise, and real-world medical judgment to the development of transparent, explainable, and evidence-based Clinical AI decision models. This is not a traditional employment position. It is a high-level professional collaboration designed for senior physicians with established clinical authority who seek intellectual leadership, international visibility, and lasting impact in the evolution of Clinical AI. Participants act as Clinical AI Authors, directly shaping a new generation of physician-led, ethically grounded clinical intelligence. Your Role as a Clinical AI Author As a Clinical AI Author, you will assume a senior scientific and strategic expert role, including: • Contributing to the design, structuring, and validation of clinical decision-making models within your specialty., • Translating evidence-based UK clinical practice (NICE guidelines, Royal College standards, NHS frameworks, and international guidelines) into structured, explainable decision logic., • Reviewing anonymised clinical cases and participating in senior-level, interdisciplinary peer-review processes., • Collaborating closely with MetaQare’s medical, scientific, regulatory, and technology teams., • Ensuring clinical rigor, traceability, explainability, and ethical integrity of all models., • Your clinical expertise is transformed into a digital clinical decision model reflecting your diagnostic and therapeutic reasoning., • Your judgment supports diagnostic pathways, risk stratification, and treatment decisions with full explainability and auditability., • You receive royalties linked to the validated clinical use of the model you help develop., • Your name becomes part of a select group of 100 physician pioneers shaping the future of Clinical AI in the United Kingdom., • MBBS / MBChB (or equivalent medical degree)., • Full registration with the General Medical Council (GMC)., • CCT (Certificate of Completion of Training) or recognised specialist registration., • Minimum 5 years of independent consultant-level clinical practice., • Preferably experience in leadership roles (Clinical Lead, Consultant, Medical Director, Academic Lead, etc.)., • Strong evidence-based clinical reasoning aligned with NICE and Royal College guidance., • Recognised as a reference expert within your specialty., • Demonstrated interest in medical innovation, Clinical AI, and decision-support systems., • Ability to collaborate as an independent medical consultant. We are seeking senior specialists across multiple disciplines, including but not limited to: Cardiology · Oncology · Dermatology · Gastroenterology · Gynaecology · Neurology · Endocrinology · Paediatrics · Allergy & Immunology · Respiratory Medicine · Internal Medicine · Psychiatry · Rheumatology · Trauma & Orthopaedics · General Surgery · Urology (Additional specialties are welcome.) What MetaQare Offers • Participation in the first global network of physician-developed clinical intelligence., • Comprehensive scientific, ethical, regulatory, and technological support., • Author agreement with a long-term royalty-based compensation model., • International visibility through the Global Medical Innovation Panel. MetaQare was founded with a clear mission: To preserve and scale clinical knowledge across time, institutions, and borders. For the first time, medical expertise can be digitally amplified without compromising scientific rigor, ethics, or transparency. Physicians who join ACAI do not work for AI — they define it. Application Process Please submit your CV along with a brief description of your specialty and current leadership role via LinkedIn Recruiter. Applications are reviewed on a rolling basis by the MetaQare Clinical Committee. 🔗 More information: 📩 Contact:

Job Title: Bioinformatics Scientist (Genomics & AI) Location: Europe (Remote / Hybrid options available) Type: Contract or Permanent (depending on candidate preference) Start Date: ASAP Overview We are working with a number of innovative organisations across the life sciences sector who are investing heavily in bioinformatics, genomics, and AI-driven research. As a result, we are looking to engage experienced Bioinformatics Scientists to support ongoing and upcoming projects focused on genomic data analysis, computational biology, and machine learning applications in drug discovery. Key Responsibilities • Analyse and interpret large-scale genomic and biological datasets, • Develop and maintain bioinformatics pipelines and workflows, • Apply statistical and machine learning techniques to biological data, • Collaborate with cross-functional teams including data scientists, biologists, and software engineers, • Support research and development initiatives in areas such as genomics and drug discovery, • Document methodologies, results, and best practices Required Experience • Proven experience in bioinformatics, computational biology, or a related field, • Strong programming skills (e.g. Python, R, or similar), • Experience working with genomic or multi-omics data, • Understanding of statistical analysis and/or machine learning techniques, • Familiarity with bioinformatics tools and pipelines Nice to Have • Experience in AI/ML applied to life sciences, • Exposure to drug discovery or clinical research environments, • Cloud platform experience (AWS, GCP, or Azure)

About the Company Our client is an established, globally operating SaaS business within the travel and hospitality technology space, supporting tens of thousands of customers worldwide. Following significant recent investment in product and platform evolution, the business is now entering a critical phase focused on embedding AI and machine learning at the core of its commercial and product strategy. This is a transformation role with direct visibility at executive level and real influence over how the business evolves. The Opportunity This is not a traditional data science role. You will operate at the intersection of AI strategy and hands-on execution, working directly with senior leadership to define, build, and deploy AI-driven capabilities across the organisation. The focus is on practical application, speed, and measurable impact — particularly in areas such as pricing optimisation, forecasting and intelligent automation. You will play a central role in shaping how modern AI technologies (LLMs, prompt engineering, ML models) are embedded into both the product and the broader business. Key Responsibilities • Design and implement AI-driven solutions across product, pricing, and internal workflows, • Apply LLMs and prompt engineering techniques to real-world business challenges, • Build and deploy machine learning / deep learning models, particularly within pricing and forecasting contexts, • Work with distributed data sources, APIs and emerging frameworks (including MCP where relevant), • Influence product and engineering teams to adopt AI-first thinking, • Help modernise and evolve legacy systems into scalable, future-ready architectures, • Drive standardisation of data, language and structures across the business, • Deliver solutions that are production-ready and commercially impactful, not theoretical Experience & Technical Background We are looking for a strong blend of hands-on AI capability and applied commercial thinking, including: Core AI / LLM Expertise • ~5+ years working with AI, including prompt engineering and LLM structures, • Strong understanding of how to manipulate and optimise LLM outputs, • Experience integrating AI into production environments via API-based architectures Data & Architecture • Experience consuming and working with data via APIs, • Exposure to MCP (Model Context Protocol) or similar frameworks (desirable, not essential), • Ability to work with complex, distributed and evolving data environments Machine Learning • Strong grounding in machine learning and/or deep learning models, • Understanding of regression models and predictive modelling, • Interest or experience in price forecasting and predictive analytics Who You Are This role is as much about mindset as it is about technical capability. You are: • A builder and operator — you lead by doing, not delegating, • A pace-setter — others follow your example, • A change agent — you challenge the status quo and improve how things are done, • Highly execution-focused — you can explain a solution clearly in minutes, not documents, • Equally comfortable with strategy and hands-on delivery, • Commercially driven — focused on revenue, growth, and real-world impact, • Resilient and adaptable — comfortable working with both modern and legacy systems, • Motivated by solving complex problems and seeing your work deployed at scale You also bring: • A strong appreciation for structured thinking, language, and data consistency, • A desire to bring clarity and standardisation to complex environments, • A collaborative mindset — able to work effectively across engineering and leadership teams Package: • Up to £150,000 base salary, • 15% performance-based bonus, • Fully remote working, • Ability to make a real difference at executive level, • Vast career opportunities, • Many other perks... Why This Role? This is a rare opportunity to step into a high-visibility, high-impact AI role within a scaling SaaS business, where you will directly influence product direction, commercial outcomes and the adoption of AI across the organisation. If you’re looking for a role where you can build, shape, and deliver — not just advise — this is it.

IT System Analyst - £46k (DOE) - Remote I am seeking a proactive IT Systems Analyst with experience in Epicor BisTrack and strong SQL skills to support my client’s core business systems. This role is well suited to someone who enjoys hands-on technical work, supporting users, improving processes, and implementing smart automation solutions, including modern AI-driven tools, to enhance overall business efficiency. What you’ll do • Act as the escalation point for Bistrack and SQL-related support issues, • Resolve helpdesk queries efficiently and support day-to-day IT operations, • Use AI and automation tools to streamline processes and reduce manual work, • Develop reports, queries, and system improvements, • Train users and create simple, helpful guidance materials, • Support system integrations and data workflows across the business What you’ll bring • Hands-on experience with Epicor Bistrack, • Strong SQL capability (queries, reporting, troubleshooting), • Background in IT support/helpdesk roles, • Awareness of AI productivity tools, automation platforms, or low-code environments, • Clear communication skills and a user-focused mindset, • A desire to improve systems, processes, and efficiency Benefits • 15% bonus, • Remote, • Private Healthcare

(Remote) Head of Engineering – B2B Scale Up – Up to £150k (base) + equity Imagine a world where you can run thousands of simultaneous conversations and instantly transform them into actionable insights for the world's biggest enterprises. That's not science fiction but rather what a forward thinking client of mine is building. This company has architected a platform that operates at a greater scale, turning human dialogue into a strategic asset. They've closed their Series A and landed major enterprise customers. Now they need a Head of Engineering to grow and lead their high performing team. The mission, should you accept it… • Formalise delivery without bureaucracy: You’ll implement agile processes, set up delivery pipelines, and introduce forecasting and metrics that make execution predictable, • Own technical direction: You’ll guide cloud architecture, lead critical projects, and set quality standards that scale., • Build and lead the team: You’ll own the hiring pipeline, develop career paths, and foster a collaborative, high-trust culture., • Balance pragmatism with innovation: You’ll stay across AI trends, but you know when to adopt and when to hold. You bring structure to a fast-moving, creative environment without killing what makes it special. The toolkit you’ll bring… • 4+ years managing and building engineering teams: You’ve hired, coached, and structured teams and you’re ready to do it at scale., • Strong software engineering background: You’re credible enough to oversee end-to-end solutions and hold your own on architectural trade-offs., • A track record of formalising delivery: You’ve implemented agile, forecasting, and metrics that improved predictability. You know how to bring discipline without adding bureaucracy., • The gravitas and cultural fit: You’re senior enough to partner with leadership, but you thrive in a low-ego, high-curiosity, outcome-focused environment. You bring structure without ego. So if this sounds like you then please hit that apply button to find out more.

🚀 Engineering Leader | High-Growth Series A Scale-up Are you a full-stack pioneer ready to own a product from end-to-end? 🏛️💻 We are exclusively representing a mission-driven tech startup that has just secured a strong Series A funding round of over £10million. They are on a journey to transform how local governments and public agencies operate in the UK and USA — breaking down barriers and building the most intuitive procurement platform of the future. As the first dedicated engineering hire leading a team of 3, you won’t just be writing code; you will be the technical architect and leader shaping the entire roadmap of a high-impact, purpose-led organisation. The Role: Head of Engineering This is a "player-coach" evolution. You will drive great execution, manage the balance of scope and resources, and eventually build a high-performing engineering team from the ground up. Key Responsibilities: • End-to-End Ownership: Lead the technical roadmap, manage the codebase, and own the operation of data and apps in production., • Strategic Hybrid Build: Utilise a modern stack (React, Marketplaces, Payment Infrastructure) alongside innovative low-code/no-code and AI integrations., • Team Building: Drive hiring, mentorship, and culture. You’ll manage internal growth while effectively collaborating with external contractors and freelancers., • Execution Excellence: Establish the "Quality Playbook"—setting standards for code reviews, testing, and monitoring. Who You Are: • Technical Polyglot: A rapid learner, fluent in React and complex marketplace infrastructure. You aren’t afraid to get your hands dirty in the code but are ready to delegate as you scale., • Systems Thinker: You think end-to-end about how architecture affects the user and the future of the service., • Entrepreneurial Spirit: You thrive in "startup hustle," acting with urgency and accountability. You care about being effective over being right., • Emotionally Mature Leader: An empathetic mentor who drives clarity in ambiguity and promotes a culture of high standards and transparency. Why This Opportunity? • Key Leadership Status: This is a cornerstone role with the freedom to shape the tech stack and strategy., • Series A Momentum: Join at a pivotal inflection point with the financial backing to scale rapidly., • Real-World Impact: Build technology that empowers local governments to reinvest in their communities., • Equity & Growth: Competitive package including meaningful equity in a venture-backed scale-up.

About the company Our Mission Alecto’s mission is to make legal services accessible to everyone on the planet. We believe the quality of service in the legal profession is woefully inadequate. It delivers bad value for money, frustrates the people it exists to serve, and lacks basic accountability. The societal impact of making legal services accessible, understandable, and affordable to every person will be enormous. We aim to be the business that makes this happen. The Founder Alecto was founded in autumn 2025 by Will Rice. Will previously founded Gen H, an FCA-regulated fintech that has become one of the UK’s leading mortgage lenders for first-time buyers. At Gen H, Will raised £50 million in equity from leading venture investors and over £5 billion in asset financing. Prior to Gen H, Will lived in Moscow and ran a hedge fund. He has a starred first-class degree from Cambridge University, where he studied Russian and Arabic. Who Thrives Here We’d love to talk to you if you’re: Relentless: You're never satisfied with good enough. You push yourself to improve constantly. You measure your progress. Uncompromising: You have incredibly high standards. You sweat the details. You take pride in your work even when no one's watching. You speak up when standards slip. Accountable: You own outcomes. You fix problems rather than waiting for someone else to. You want to be measured on your impact. Humble: Low ego. Self-critical. Open to feedback. You change your mind with new information. You give honest feedback directly and kindly. Optimistic: You approach problems as solvable. You find opportunity in crisis. You energise the people around you. What to Expect • Real impact: Improve the way people navigate some of life’s most important moments., • Ownership: You'll have real responsibility from day one., • High standards: We don't compromise on quality., • Fast pace: We move quickly and expect you to keep up., • Quantitative assessment: Your performance will be assessed on transparent criteria., • Direct feedback: You'll get honest feedback regularly. You'll give it too., • Hard problems: Nothing about building this is easy. That's what makes it fun., • Greater financial reward: We pay more because we expect more. How you’ll contribute We're looking for Staff or Senior Product Engineers to join our engineering team. We're a small team of generalists with deep experience in startups and a passion for 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. You may be a good fit if you • 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 customizing your AI workflow into the early hours, • Building AI agents or LLM-powered systems that go beyond simple prompting. Who thrives here We'd love to talk to you if you're relentless about self-improvement and hold yourself to incredibly high standards, sweating the details others overlook. You see problems as solvable and find opportunity in challenges, energising the people around you in the process. You own outcomes, fixing problems rather than waiting for someone else to, and want to be measured on your impact. You're low ego and self-critical, open to feedback, and give honest feedback directly and kindly. We're building with • A TypeScript monorepo, React, tRPC and Tailwind, • Inngest for background jobs and event-driven workflows, • Deployed on Google Cloud Platform with Postgres What we offer • £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 toolingThis role is based in Shoreditch, London and reports directly to the founder.

The Company: A fast-growing, mission-driven, deep-tech start-up developing AI-based SaaS solutions for large-scale projects in infrastructure and construction. Recognised industry leaders, with an award-winning team and global enterprise clients. What you'll do: • As a Solutions Engineer, you will play a pivotal role in supporting Enterprise Account Executives throughout the sales process and beyond., • Acting as the bridge between Sales, Customer Success, and Product teams, you’ll deliver technical demonstrations, oversee Proof of Concepts, and ensure smooth on-boarding and adoption for enterprise customers across EMEA., • You'll be a primary technical advisor, helping clients realise value from innovative technology, troubleshooting issues, and shaping product improvements with client feedback., • This is an ideal opportunity for someone early in their career who is eager to blend technical skills with customer-facing responsibilities in a dynamic, scale-up environment. Key Skills: • 1–3 years in a technical customer-facing role (such as Solutions Engineer, Sales Engineer, Technical Consultant, Implementation Consultant, or Customer Success Engineer), • Experience working with SaaS software, • Confident delivering software demonstrations, • Exposure to enterprise clients and supporting technical onboarding or implementations, • Ability to explain complex software concepts simply, • Comfortable with structured data and troubleshooting technical issues, • Strong communication and stakeholder management, • Highly organised, proactive, and customer-focused, • Fast learner with new systems, • Understanding how technical solutions drive commercial outcomes, • Desirable: Experience in construction/infrastructure, planning tools (e.g. Primavera P6), project risk analysis, basic APIs/data integrations, or supporting Proof of Concepts Benefits: • Competitive salary, • Top-tier international health insurance, • Remote work budget (£500 in year one, £100 in year two), • Personal development budget (£1,000 per year), • Enhanced pension/providence fund (6% company contribution), • Annual team “workation” trips, • 3 extra days leave for wedding or civil partnership, • Work in a supportive team environment committed to diversity, innovation, and personal growth If you’re ready to make an impact with cutting-edge technology and join a passionate, collaborative team, we want to hear from you! Apply now and help tackle some of the world’s biggest project challenges.

Our talented Data & AI team is made up of globally recognized experts - and there's room for more analytical and ambitious data professionals. If you're passionate about helping clients transform their business with the latest AI and data technologies, let's talk. Take your skills to a new level and launch a career where you can truly do what matters. As an Solution Architect within our Data & AI Practice, you'll leverage a client-centric approach to understand our client’s challenges and opportunities to deliver solutions and services that make transformative change and deliver high value business outcomes. You'll engage in solutioning and support on the most strategic opportunities, intervene in high-risk complex deliveries, and contribute to shape the strategic direction using Agentic AI, automation, AI engineering, data platforms, reporting and self-serve analytics.. Avanade is the 7 times Databricks global partner of the year, we deliver over 4000 Microsoft data platform projects annually and deliver more Azure Databricks than any other Databricks partner. Key Responsibilities: • As an architect assigned to a client project, you will typically work closely with delivery teams and client stakeholders to provide technical leadership, shape deals and propositions, drive architectural decisions, create plans and roadmaps, and produce design artifacts., • Play a key role in Avanade's sales process by creating solutions that innovate, inspire and are win new business. You’ll have responsibility for shaping the high-level design, estimates, and contractual details for client proposals in collaboration with other subject matter experts in the business., • As a senior member of the Avanade technical community, you will provide coaching and mentoring to motivate and inspire more junior colleagues from within your team and across the organization., • Have the ability to translate complex technical concepts and solutions and present them in easy to understand language and value based outcomes, to senior business stakeholders, technology leaders and internal sales teams., • Engage in early conversations with clients and/or sales team and support origination and deal qualification, requirements capture and solutioning, recommending best practices and approaches to achieve optimal outcomes, building strong relationship with clients to become the trusted advisor. Prepare and represent the solution in Deal Reviews and play an active role in client presentations, and negotiations with key client buyers., • Work collaboratively with the wider Data & AI leadership to shape our current and future offerings, accelerators, and background IP to support go to market activities., • Lead the development of intelligent data platform projects, building strategic capabilities for our clients. Integrating data from many systems, transforming through lakehouse architectures and making available for reporting, AI and conversational analytics. Requirements for the role - • Awareness of channels to market and how to work in a Databricks and Microsoft eco-system to ensure Customer Success., • High energy intent to help clients understand the fast moving data industry, product and service evolution., • Experience working with stakeholders to create technical visions, high-level architectures, and delivery roadmaps for large programs of work that involve the latest data & AI concepts particularly focused on scaling data use across enterprises., • Capability in creating design artifacts and presenting them for approval at architectural forums attended by multi-disciplined stakeholders from engineering to senior ("C level") client executives., • In-depth understanding of modern Data & AI capabilities such as; structured and unstructured data analysis, streaming data, IoT, AI, GenAI and related topical analytics fields., • Comfortable actively engaging and leading sales and business development opportunities with clients., • Hold Databricks certifications, ideally the Databricks Champion or be able to demonstrate equivalent knowledge and experience. About Avanade - Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

Computer System Validation & GxP Compliance Consultant/Senior Consultant Pharmaceutical/Biotech — Remote (UK) - Multiple Positions Consultant and Senior Consultant Roles available - with an emphasis on Pharmacovigilance and Clinical knowledge Package: Excellent Hourly Rates (£75-£100 p/hr) offered in-line with Experience with potential of Salaried position. The Role in 20 Seconds You've spent a decade or more in pharmaceutical IT quality, validation, or GxP compliance. You've probably held titles like Validation Manager, QA Lead, CSV Lead, or IT Quality Manager — in a pharma sponsor, a biotech, a CRO, or a specialist consultancy. You know how to walk into a mid-size biotech on a Monday morning, pick up a statement of work, and get on with it. You're clinical or PV background means you can talk their language straight away. Our client is a specialist GxP and CSV consultancy that runs entirely on senior people. No juniors. No box-ticking. Their clients want experience and guidance. If that sounds like the kind of place you'd actually want to work, keep reading. The Company A lean, specialist consultancy delivering GxP compliance and CSV services to a client base predominantly in the USA, EU and UK. Their clients range from pre-revenue biotechs building their first quality management system to more mature pharma companies requiring specialist expertise for regulatory remediation, system validation, and audit programmes. They are mostly small to mid-sized clients with exciting product portfolios, generally in the "30–200 employee" range. These are organisations sophisticated enough to know exactly what they need, but lean enough that they don't have the internal QA resource to do it themselves. That's the gap this consultancy fills, and it's why the work is genuinely interesting rather than purely procedural. The model is deliberately small. Only experienced consultants are deployed. The quality of the work product is the commercial proposition, which means the people doing it have to be good. There's no layer of management between you and the client, and no junior to pass the awkward bits to. Some people find that energising. Those are the people we're looking for. The team is small, friendly, and above all, hardworking. They all share the same work ethic, and they are enjoying rapid growth - hence the reason for hiring. What You'll Actually Do The bread and butter: • Lead validation projects end-to-end — or execute defined work packages within them, depending on where you sit, • Plan and conduct GxP vendor audits of technology providers, from agenda to audit report to corrective action closure, • Author and renovate SOP suites, data integrity policies, change control frameworks, and vendor qualification programmes, • Deliver gap analyses and inspection readiness support that actually prepares people, rather than producing a report that sits in a drawer, • Act as the primary client contact on engagements — chairing meetings, managing stakeholder relationships, and presenting findings to senior quality and IT leadership The less obvious bits that matter as much: • Having the confidence to push back on a client when something is wrong — and the judgment to know when to pick that battle, • Translating complex regulatory requirements into proportionate, practical actions without gold-plating and without cutting corners, • Keeping an engagement on track and within budget whilst also managing the client expectations Who We're Looking For You'll be a natural fit if: • You've come up through pharmaceutical quality, validation, or IT compliance — in a sponsor, a biotech, a CRO, or a consultancy — and you've genuinely owned deliverables, not just contributed to them, • You're the person colleagues come to when there's a regulatory question that actually matters, rather than one that can be answered by reading the SOP, • You ask smart questions early rather than making assumptions, and your documentation doesn't come back needing heavy rework, • You're comfortable working independently in a remote model with real deadlines and defined accountability, • At the senior end — you've been the responsible professional when a regulator walked in, and you know exactly what that feels like, • This is NOT a role for manufacturing or LIMS specialists - this is focussed more on those with a PV / Clinical make-up Essential: • 10+ years in pharmaceutical quality, validation, or GxP compliance in a regulated environment, • Hands-on experience with computer system validation or quality assurance — in a pharma, biotech, or CRO setting specifically, • Proven ability to write inspection-ready documentation: validation plans, risk assessments, qualification protocols (IQ/OQ/PQ), and audit reports., • High degree of working familiarity with GAMP 5 concepts (software categories, V-model, risk-based testing) and key regulations such as ICH E6(R3), EU Annex 11, 21 CFR Part 11, and the FDA Computer Software Assurance (CSA) Guidance, February 2026., • Right to work in the UK without sponsorship Nice to have: • Previous experience in a client-facing consultancy role as opposed to purely in-house, • Inspection experience with FDA, MHRA, or EMA involving computerised systems, • Familiarity with eQMS implementation, data migration validation, or AI/ML in a GxP context, • RQA, ISPE, or DIA involvement, • ISO 27001 awareness or Lead Auditor certification. What's Actually In It For You The practical stuff: • Rates/salary based genuinely on experience — we won't be trying to lowball you at interview, • Remote working as the default — occasional client site visits, planned in advance, • Contract or permanent — both considered depending on what works for you, • Fractional engagements across multiple clients usually 1-2 month assignments The things that don't show up in a rate card: • Clients who are building something — clinical-stage biotechs constructing their quality infrastructure from scratch as they advance through trials, not large pharma running the same validation cycle they've run for twenty years, • Direct relationships with QA Directors, heads of IT, COOs, and occasionally CEOs — because with staff rosters of 30–200 people, that's who you're talking to, • A client list where your name is on the work, not buried four layers down in a consulting pyramid, • No internal politics to navigate — small team, clear accountabilities, • The satisfaction of handing over something that will genuinely hold up under inspection The Honest Bit This is not a nine-to-five with a clear desk at five. Client deadlines are real, inspection windows don't move, and occasionally a deliverable needs to be right by Friday regardless of when it landed in your inbox. Remote working in a fractional/contract model requires genuine self-management — there's no office to walk into and no one tracking your hours, so the only thing that matters is whether the work is good and the client is happy. If you've spent your career in large pharma with a lot of internal support around you, the step to a lean consultancy model can be bigger than it looks. If you've done it before, or if the idea of that autonomy is what's been missing from your current role, you'll probably love it. 📧 Apply via the link, or message Andy Clarke directly if you want to talk it through first — especially if you're weighing up the contract versus permanent question, or not sure whether your specific background is the right fit. 💼 Andy has been in and around regulated life sciences for over two decades. You'll get a straight answer to a straight question, not a sales pitch. All applications are treated confidentially. Guess what... We're not only interested in the conventional CV. Spent fifteen years in-house at a pharma and want to move to consultancy? Coming from a CRO and want to work across a broader client base? Built your validation knowledge in a regulatory technology company rather than a sponsor? Get in touch. If the experience is real and the documentation quality is there, the background matters less than you might think.

📍 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!

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The role We're looking for a Lead Software Engineer to be the most senior technical voice in one of our product squads, working as a technical co-leader alongside the Engineering Manager. You'll own the squad's technical direction and engineering quality end to end, from architectural decision making and hands-on delivery, to mentoring engineers and shaping how we build across the organisation. This role demands genuine depth in AI. You'll be leading LLM powered feature development and setting the standard for how AI tooling amplifies the whole engineering process, combined with the full-stack and cloud-native chops to back it up. What you'll be doing • Setting technical direction for your squad. Owning architectural decisions, managing technical risk, and representing the engineering perspective at our Architecture Review Board, • Leading AI-powered product development: designing LLM workflows, RAG pipelines, and agentic features that run on top of our AI platform in production, at scale, • Driving adoption of AI coding tools across the full SDLC, from planning and design through code review, testing, deployment and setting the bar for how the squad works, • Delivering production grade code across the full stack: Node.js or Python backends, event-driven AWS architecture, and React where the squad needs it, • Mentoring and growing engineers across AI and full-stack domains, through code reviews, design documents, and day-to-day pairing, • Collaborating with platform teams to consume shared capabilities and contribute reusable patterns back, not building one-off solutions when a platform component will do, • Ensuring everything we ship is compliant-by-design, auditable, and built to the standards expected of software in FCA regulated financial services What we're looking for • A seasoned engineer with 10+ years of experience, including meaningful time building and operating AI/ML systems in production, • Real technical leadership. You've set direction, made architectural calls, mentored others, and influenced how a team builds, not just what it ships, • Strong hands-on AI/LLM skills: prompt engineering, RAG, model evaluation and agent frameworks. You know how these work in production, not just in demos, • Deep expertise in Node.js or Python, with solid experience in the other; comfortable switching contexts depending on what the problem needs, • Cloud-native development on AWS. Serverless, event-driven, Lambda, with an instinct for well designed, maintainable systems, • A genuine curiosity about where AI is going and the judgment to separate signal from noise when recommending what to adopt, • An instinct for building responsibly. You care about auditability, compliance, and the downstream impact of what you ship Why Aveni • You'll work at the frontier of applied AI in a domain where it actually matters, helping financial services firms serve their clients better and meet growing regulatory obligations, • AI-native engineering culture: we use AI tools seriously, across the full development process, and we're always looking to push further, • High impact from day one. As a Staff Engineer, your technical decisions will shape the product, the platform, and the engineers around you, • A talented, collaborative team building something genuinely novel, with the backing, the architecture, and the proprietary models to do it properly Benefits at Aveni What you’ll love • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We've built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about technology and its ability to drive positive change for the future of financial services, we'd love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI.

TalentCo are delighted to be partnering with an established PE-backed tech company looking to hire a high-calibre Lead Software Engineer into their UK business, as they build a new conversational AI platform from the ground up. This hire can be based predominantly from home anywhere in the UK, with occasional trips to meet the team, but with plenty of flexibility to suit individual circumstances. The client are developing a low-code, multi-tenant platform that enables large enterprises to design, build and deploy AI agents capable of handling both single-step LLM tasks and complex multi-step agentic workflows. As Lead Software Engineer you will: • Set the software engineering standards for this newly formed team of 4., • Operate roughly as follows: 70% hands-on software development, 30% tech lead responsibilities., • Develop scalable backend services for multi-tenant execution of AI agents., • Deploy LLM-based applications and agentic workflows at scale. We want to hear from you if: • You have 5+ years of hands-on experience building production applications, with at least 2 years as a Lead Software Engineer, Technical Lead or Software Engineering Lead, • You're an expert when it comes to backend development using Python, building systems at scale, • Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures., • Bonus points if you have high-volume, low-latency message processing and Kubernetes experience, • You do NOT need previous AI experience, but you definitely need a keen desire to build AI products. What do they offer? • Salary £120k-£150k, • Comprehensive benefits package, • Remote-first setup anywhere in the UK, with occasional travel to the company HQ just north of London

Robotics Deployment Engineer (Field & Applications) Full-time | Permanent Location: London, UK (or remote) Compensation: £60,000-80,000 per year. Travel: 80% across Europe. Role Overview Our customer, an AI robotics start-up, is building and scaling the deployment of AI-driven robotic arms for industrial environments, including manufacturing facilities and logistics operations. This role focuses on bringing these systems from concept to real-world performance at client sites. This role is the first of it's kind within the business, and they are now looking for an deployment engineer with a growth mindset who wants to join their journey, build/deliver a deployment process, and facilitate further growth in the area of field operations. What You’ll Do • Design and streamline end-to-end deployment workflows, covering technical pre-sales input, safety integration, and handling processes, • Lead on-site implementation of robotic solutions, ensuring successful installation, calibration, and operational readiness, • Track system performance post-deployment and collaborate with engineering teams to refine and optimise results, • Contribute to commercial efforts by providing technical expertise during client discussions alongside leadership, • Oversee and coordinate complex deployments for strategic customers, • Occasionally support AI development initiatives in partnership with the technical team Your Background Core Requirements: • Proven hands-on experience deploying robotic systems in real-world environments, • Strong organisational and project leadership capabilities, • Working knowledge of robotic software, machine vision, industrial cameras etc., • Genuine interest in robotics and artificial intelligence, combined with a self-driven and structured approach to work, • Experience with industrial robotic arms or collaborative robots, • Exposure to technical sales or pre-sales activities in robotics, • Familiarity with AI-based robotic applications, • Understanding of software rollout and integration processes, • Additional language skills (French and/or German)

We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience. Strong software development background with proficiency in Python. • Experience with API development using FastAPI, Flask, or Django., • Knowledge of Docker and containerized deployments., • Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral., • Expertise in applying prompt engineering techniques to improve model performance and reliability., • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices., • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry., • Strong understanding of software engineering principles and best practices., • Ability to work in agile environments and collaborate with cross-functional teams. You'll stand out if you also meet any of the following: • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact., • You have knowledge of vector databases, RAG architectures and their integration into enterprise systems, • You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow., • You are familiar with core agent communication protocols, including MCP or A2A., • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks., • You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. 🛠️ Qualifications • Bachelor's in computer science, data science, or a related field About Avanade: Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

Join Our Dynamic Team in the Pharmaceutical Industry! Are you an enthusiastic engineer with a passion for medical technology? Do you thrive in a fast-paced environment? If so, we have an exciting opportunity for you! Our client is seeking a Product Support Installations Engineer for a fixed-term contract of 6 months. This role offers a competitive daily rate ranging from £200 to £250. Key Responsibilities: • Undertake on-site support visits for installations, de-installations, and relocations of critical instruments., • Deliver high-quality installations while adhering to customer policies and safety standards., • Engage with customers to address queries and ensure effective communication with the wider business., • Maintain calibrated tools and equipment, ensuring compliance with service activities., • Provide first-level troubleshooting support, using your technical skills to solve issues promptly. What We’re Looking For: Essential Qualifications: • A qualified engineer in electrical engineering, medical technology, or a relevant Biomedical Science degree., • Full UK/EU driving licence and a valid passport for overseas training. Core Competencies: • Strong electrical, electronic, and mechanical understanding., • Proven ability to manage personal time and prioritise tasks effectively., • Excellent communication skills, both written and verbal, with a flair for teamwork and collaboration., • A logical, process-driven mindset with an attention to detail., • Enthusiastic about challenging technologies, including robotics and medical issues. Desirable Skills (but not essential): • Initial experience in a medical technical environment., • Familiarity with medical analytical systems and quality assurance., • Experience with Customer Relationship Management (CRM) tools and web delivery applications., • Customer-facing engineering support experience. Why Join Us? • Be part of a collaborative team that values integrity, courage, and passion., • Gain exposure to cutting-edge technologies in the diagnostics industry., • Opportunities for personal growth and professional development through structured training., • Enjoy a supportive work environment with a focus on continuous improvement. Who You Are: • A quick learner with a curious mind, eager to innovate and contribute ideas., • Resilient and adaptable, thriving in a changing environment., • Committed to achieving results and accountable for your commitments. Note: This position requires regular overnight stays throughout the UK and Ireland. Ready to Take the Next Step? If you’re excited about joining a team that makes a difference in the healthcare sector, we want to hear from you! Apply now to embark on a fulfilling journey with us. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Working for a leading semiconductor R&D department, I am recruiting for a high-level GPU Architect, to work on the latest R&D developments in Graphics Hardware Processors. There is also opportunity for leadership within this exciting R&D team for GPU Hardware. A key-selling point is this is a highly innovative and exciting opportunity to work with leading experts in GPU R&D to define cutting-edge Graphics products in the industry. This is a multi-functional role, where you will also contribute to the future strategy of next-generation IP. Salary details Salary will be based upon years and relevance of experience - circa £100k and / or above for highly-skilled architects Location & additional info • This is a UK based role, so 1st preference and priority will be given to applicatints with UK working rights, • There is also the potential for hybrid / remote / fully remote working from other European locations, • Visa sponsorship and relocation support can also be considered for qualified applicants who are motivated to relocate permanently to the UK Key / "Must-Have" skills • Significant knowledge and experience with design and architecture of GPU IPs - Graphics Hardware Processors (5 - 10+ years' experience), • Strong understanding of modern 3D graphics and/or compute APIs, such as Vulkan, D3D12 and OpenCL, CUDA etc., • Definition of high-level GPU architecture / micro-architecture, • Confidence knowledge in the ASIC digital design flow, • Experience in R&D of the latest products and features, • Ability to take a concept through to production and delivery / tape-out, including performance review, analysis, costing, and optimisation, • Understanding of the product's design & verification needs, standardisation, adherence to frameworks and methodolgies e.g. UVM, • Excellent communicator, with a keen interest in team collaboration and a clear approach to the design & development process Bonus / "Nice-to-have" skills • Digital Video processing / video compression / video codecs or similar field, • Image signal processsing, • (Computer) arithmetic / maths / algorithm development or algorithm implementation, • Modelling - System C, UML, TLM 2, • Strong maths and algorithm skills, • Understanding of / analysis of: compiler performance / driver performance, • Functional Safety - ISO26262, • Graphics software development For more information, please contact Rob Hudson @ Ic Resources for a discussion today!

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:

Machine Learning Scientist (Contract → Full-Time Potential) Location: Remote (Contract) Duration: 3–6 month contract (with potential to convert to full-time) Company: Stealth-stage MedTech (AI in Oncology) About the Company Our client is rapidly scaling, stealth-stage medtech company applying advanced AI to transform cancer care. Founded in late 2025 and led by experienced operators and researchers, we are building proprietary, data-driven models to improve cancer surveillance, diagnosis, and treatment decision-making. Our work is powered by rich longitudinal patient datasets, with strong in-house expertise in genomics. We are not focused on traditional imaging AI—instead, we tackle complex, multimodal clinical data to drive real-world impact in oncology. The Opportunity We are looking for exceptional AI Researchers / ML Engineers to join us on a high-impact contract basis (3–6 months) to accelerate model development across large-scale patient datasets. You will work closely with our Head of AI and core research team, contributing to the design, development, and deployment of models for: • Risk prediction, • Patient outcome modeling, • Clinical decision support High-performing contractors will be considered for full-time roles as we expand our team in Boston later this year. What You’ll Do • Design, build, and evaluate machine learning models on large-scale longitudinal patient datasets (e.g., EHR), • Develop models for risk stratification and outcome prediction in oncology, • Work with multimodal data (clinical, genomic, and other structured/unstructured sources), • Own the end-to-end ML lifecycle: data processing, experimentation, validation, and deployment, • Collaborate closely with cross-functional teams including AI researchers, engineers, and domain experts, • Translate research insights into production-ready systems What We’re Looking For Core Requirements • Strong background in machine learning and ML engineering, • Experience working with real-world healthcare data, especially: Electronic Health Records (EHR), • Longitudinal patient datasets, • Proven ability to design and run rigorous experiments, • Experience deploying models into production environments, • Strong programming skills (Python, PyTorch/TensorFlow, etc.) Preferred / Differentiators • Experience with genomics or multimodal biomedical data, • Track record of publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, Nature, Science), • Experience in healthcare AI, medtech, or clinical data environments, • Background in statistical modeling, causal inference, or time-series analysis Who You Are • A hands-on builder who can move quickly from idea → experiment → production, • Comfortable working in a fast-paced, early-stage environment, • Able to balance research depth with engineering execution, • Motivated by applying AI to high-impact problems in healthcare Why Join Us • Work on cutting-edge AI problems in cancer care with real-world impact, • Access to proprietary, high-quality patient datasets, • Collaborate with a world-class AI and genomics team, • Flexible contract structure with clear path to full-time, • Join early and help shape a high-growth company pre-public launch

Software Engineer within Data & A.I team 🔥 Salary circa 75K with a 10% bonus. 📍Very flexible working arrangement, great to see you in Bristol office, however are open to fully remote. Super interesting company, using AI to build smart solutions that help governments, businesses, and communities make better decisions. They develop advanced robotic systems and software for things like surveillance, inspections, and emergency response. The org is in the Defense industry, so you will gain SC Clearance (must have been in the UK for 5 years to attain it) They're expanding their Data & AI team and looking for a Backend Software Engineer to help build scalable, reliable systems. What you’ll do: ➡️Turn requirements into working software ➡️Design, build, and deploy backend systems ➡️Work closely with product teams in an Agile setup ➡️Test, improve, and maintain code quality ➡️Support real-world deployments and system integration ➡️Keep up with new tech and contribute to improvements They're looking for: ✅3+ years of software engineering experience ✅Strong C# and .NET skills ✅Experience with APIs, databases, and system design ✅Familiarity with Linux, Cloud, DevOps, and CI/CD ✅Comfortable working in Agile teams ✅Bonus: experience with AI/ML or distributed systems You should be a strong problem-solver, detail-oriented, and able to work in a fast-moving environment. Please get in touch if you would like to learn more!

🚀 Hiring: Forward Deployed Engineer (Fully Remote across the UK) I’m partnering with a leading Revenue Ops platform transforming the commercial insurance space with a cutting-edge AI system that pulls from hundreds of data sources to modernize underwriting. 💰 $180M funded (Series A–D) 📈 7-figure recurring revenue 🌎 Fully remote 🧠 World-class engineering team This is a high-impact, customer-facing engineering role where you’ll architect and build custom solutions directly with enterprise clients. You’ll be writing production code, owning implementations end-to-end, and shaping long-term customer success. Must have experience: • BS in Computer Science, • Strong programming skills + SQL (live coding interview, no AI allowed), • Currently shipping production code, • Experience leading complex B2B SaaS implementations, • Forward Deployed / Solutions Engineering background, • 6+ years of experience, • Startup experience (Seed- Series E) Compensation is flexible and tailored to experience — we’re open to candidate expectations Fully remote across the UK

About Us Leading global fintech platform serving millions of users, top-ranked by transaction volume. We're pioneering AI-native systems where LLMs, intelligent agents, and automation drive core capabilities—not just features. The Role Seeking engineers to build vertical AI agents for financial technology domains. Train, fine-tune, and deploy LLMs (using SFT/RLHF) as production-ready systems, including: • Fintech AI agents & copilots, • Domain Q&A and knowledge tools, • Specialized financial insight engines Collaborate with product/engineering teams to ship AI at scale. What You’ll Work On • LLM training/fine-tuning (SFT, RLHF, distillation) for financial use cases, • RAG systems & knowledge integration, • Model optimization for real-time production, • AI agent development & efficiency pipelines Who You Are • Hands-on LLM/deep learning experience (PyTorch/Transformers), • Built domain-specific AI (fintech/finance preferred), • Strong Python & engineering fundamentals, • Mandarin & English fluency required Nice to Have • Fintech/trading/quant background, • Scaled AI deployments, • Agentic AI systems Why Join • Shape AI for a global top platform, • Real-world impact at massive scale, • Fully remote (GMT+8 hours focus)

Founding Engineer – AI/ML (Stealth Start-Up) Location: Fully Remote (UK) Salary: £120,000 + 1.25% equity Company Overview: A stealth-mode e-commerce AI start-up is building a conversational AI sales agent that acts like a knowledgeable in-store salesperson online. Unlike static browsing or basic recommendation systems, this AI engages in real conversations, understands product attributes, compatibility, visual features, and domain expertise, and provides genuinely expert guidance. Every interaction generates high-intent data on customer needs, objections, and unmet demand. This intelligence powers segmentation, product development, and personalisation — far beyond traditional analytics. Long-term, the company is building the cognitive core for future robotic sales agents: the mind that makes expert guidance possible. The founding team brings deep experience: one founder is a 3x founder, investor, and executive with 14+ years building software, consumer, and supply chain start-ups, and the other is an ex-FAANG engineer with deep technical expertise. Role Overview: As the Founding Engineer – AI/ML, you will be at the forefront of developing the intelligence that powers the AI agent. You will design, build, and scale the AI models, data pipelines, and cognitive systems that drive conversational recommendations and insights. This is a unique opportunity to shape the core AI and influence the company's product strategy from day one. Responsibilities: Design, develop, and optimise AI/ML models for conversational understanding, product recommendation, and decision-making. Build pipelines and systems to capture and leverage high-intent customer interaction data. Collaborate closely with founders to define technical roadmap and product strategy. Contribute to designing the memory, reasoning, and cognitive architecture for expert-level AI guidance. Implement scalable solutions that can operate in real-world commerce settings. Requirements: Strong expertise in AI/ML, NLP, and recommendation systems. Proven experience building scalable AI systems end-to-end. Ability to work in an early-stage, high-autonomy environment. Interest in product intelligence, customer experience, and cognitive AI systems. Excellent problem-solving skills, growth mindset, and passion for building cutting-edge AI. Perks & Benefits Competitive salary: £120,000 + 1.25% equity Fully remote within the UK Ground-floor opportunity in a stealth start-up Significant impact on AI architecture, product strategy, and company direction

Title: Principal Forward Deployed Engineer – AI & Customer-Facing Technical Leader Location: Remote Travel: Customer visits 4–5 days/month; occasional team gatherings Salary: Senior: £100–£130k base + growth trajectory Principal: £130–£170k base + package discussion Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG Industry: AI Consultancy The Role We’re looking for talented engineers to join our customer-facing AI practice, from Senior Forward Deployed Engineers through to Principal-level AI technical leaders. You’ll work directly with clients to uncover problems, build prototypes, and guide full AI-enabled solution lifecycles. This is a role for engineers who: • Enjoy building real software that makes a difference, • Are passionate about AI and its practical application, • Thrive at the intersection of technical leadership and client engagement What You’ll Do Customer-Facing Leadership • Lead discovery workshops with technical and business stakeholders, • Represent the organisation’s technical capabilities in high-stakes client meetings, • Build and iterate working AI prototypes quickly, • Architect scalable, maintainable systems from prototype to production, • Guide engineers through technical delivery, code reviews, and architectural discussions, • Elevate team capabilities through knowledge sharing, mentoring, and internal workshops, • Implement AI solutions leveraging LLMs, foundation models, and retrieval-augmented generation (RAG) systems, • Design evaluation frameworks addressing bias, hallucination detection, and business impact, • Explore novel AI applications while integrating traditional ML techniques where appropriate Who We’re Looking For For Senior Engineers: • 5–8+ years building robust, scalable software systems, • Full-stack development capability across modern technologies, • Client-facing experience or technical consulting skills, • 8+ years delivering complex, enterprise-grade software, • Proven AI/ML expertise with production deployment experience, • Advanced knowledge of transformer architectures, foundation models, and prompt engineering, • Senior stakeholder engagement experience and ability to lead high-level AI strategy

[NO RECRUITERS PLEASE] About Flare Flare is the number one delivery date platform for Shopify Plus brands globally. We power the delivery experience at checkout for over 700 merchants, handling the logic, rules, and complexity behind the scenes so shoppers always see accurate, reliable delivery options when it matters most. We've grown 10x in revenue since Q1 2025, processing over $100M in orders annually across hundreds of thousands of checkouts every month. We're growing at 15% month-on-month, cash-flow positive, and just getting started. We're building Flare into the end-to-end shipping logic layer for Shopify, from checkout UI to carrier integrations. Legacy and unreliable software owns this space today. We're taking it from them. Why this role exists Flare was built by two founders. You'd be the third person in the company and the first engineering hire to join the founding team. The work is hard: real-time delivery calculation, geo and postcode rule enforcement, carrier and fulfilment integrations, checkout performance at scale. We need someone who loves building reliable systems fast and is happy to roll up their sleeves and get stuck in, whether that's shipping a customer-facing fix that drives retention or architecting something that scales to ten times the load. We move fast and the bar is high. You'll work directly with our CTO, who built a rules and conditions engine from scratch that processes over a million requests a week, returning complex delivery decisions to Shopify in under 190ms. You'll learn how those decisions got made, how to build for scale whilst shipping fast, and how to take something from zero to one. Our CEO grew Flare from nothing to 700 brands without a sales team, so when you're building, you're building on top of real commercial momentum. You'll own how you build, ship things live for major brands within your first weeks, and be pushed to do the best work of your career. If you're the kind of engineer who finds that energising, this is the right place. We're an AI-first team. Using tools like Cursor and Claude Code isn't optional - it's how we move fast without cutting corners. Anything that helps us ship better product faster is fair game. What you'll work on The decision engine At the core of Flare is a system that takes everything - postcode, product, carrier, cut-off time, cart, customer location - and distils it into a simple, accurate response that shows the right delivery options to the right shopper at the right moment. You'll expand the rules and conditions layer, add new carrier and fulfilment integrations, and push the performance envelope as request volume grows. That includes thinking carefully about how we cache responses intelligently, so we stay fast at scale without compromising on accuracy. Checkout and customer experience The Shopify checkout is one of the most constrained and scrutinised environments in eCommerce. Shopify's extensions model is powerful but unforgiving on performance. You'll build the frontend layer that takes the output of our decision engine and turns it into a fast, polished experience that shoppers actually enjoy using. Done well, it increases conversion. Done badly, it loses the sale. The challenge is building something technically complex that feels completely effortless to the person buying. AI-assisted onboarding Onboarding is a critical and genuinely interesting problem. You'll work on using AI to make setup as frictionless as possible, including building agents that can complete configuration autonomously. Making a powerful system easy to adopt without dumbing it down is hard to get right. Scale and reliability We're building toward $1bn in orders processed. That means taking what exists and making it handle an order of magnitude more load, whether through serverless, microservices, or another strategy. You'll be a core part of figuring that out. Every architectural decision comes back to one question: is this fast and reliable enough? In eCommerce, every millisecond counts. The kind of person we're looking for We want someone who is deeply curious about the problems our merchants face, happy to get stuck into the work that makes customers fall in love with the product, and capable of thinking bigger when it matters. You care about the customer, you understand eCommerce, and you bring your own thinking to the table. That means: • At least 3 years of strong full-stack experience, comfortable moving between frontend product work and backend systems, • Real experience with Shopify APIs (not theme development), eCommerce, logistics, or complex rule-based backend systems — you understand the domain, not just the code, • You think carefully about performance. You know what it means to build a system that has to respond in milliseconds, and you care about why that matters, • You write with production in mind: failure cases, edge cases, what happens when something breaks at 3am for a merchant processing thousands of orders a day, • You ship fast without being reckless, and you know the difference between moving quickly and cutting corners, • You use AI tooling as a natural part of how you work, not as a novelty The stack TypeScript, React (Preact), Remix, Node.js, GraphQL, AWS (ECS/EC2, DynamoDB), Shopify APIs and Webhooks. The hiring process • Intro call (30 mins) with the CTO about your background and the role, • Technical deep dive (60 mins) on a real system design problem relevant to Flare, • Founder conversation (30 mins) with the CEO about how you work and what you're looking for, • Offer What we offer 25 days holiday plus your local public holidays. We start with a one month trial, followed by a six month contract, with a move to a permanent position for the right person. We move quickly for the right person. How to apply Email with the following: • An overview of what you've built and shipped: production apps, side projects, systems you owned or played a significant part in. Be specific: what did you build, what decisions did you make, what did it handle at scale. If you can't share code, talk us through it., • Your GitHub profile, portfolio, or any links to live work., • A short note on why this role. Not a cover letter - just tell us what specifically resonates with you about what we're building and what in your background is directly relevant.

Snr Software Engineering role • Paying between £80-100k, with a 10% bonus (performance related), • Remote but occasional offsites in LDN/worldwide A SaaS platform that provides businesses and researchers with high-quality, vetted human data for studies, surveys, and AI research are looking for 2 excellent Product Engineers. The stack is Python/JavaScript focused, but the crux of what they want are engineers who can build product from scratch, with a real understanding of how to optimize workflows. If you have a real focus on delivery and take full agency across the entire system, then this role would be perfect for you. A good example given is if you notice an issue in there stack, they want an engineer pragmatic and experienced enough to fix that problem, and engineers who are proactive problem solvers. This role is remote with occasional offsites, a brilliant benefits package and you will be working in a business acknowledged for being one of the best places in the UK for Engineers to learn and grow. Essential Skills: • Python, • JavaScript/Typescript. They use Vue.js but are open to any React.js engineers, • AWS/GCP, • MongoDB, • DynamoDB Nice to haves: • Experience building a product from scratch, • Kubernetes/Terraform experience, • Architecture background

🚀 Senior Full-Stack Engineer – TypeScript / React / AWS 💰 Up to £90,000 + Equity | Fully Remote (UK) 💻 Tech Stack: TypeScript, Node.js, React.js, AWS ✅ Backend lean We’re on the hunt for a hands-on Senior Engineer to join a fast-moving team delivering real, production grade systems. This isn’t R&D or proof-of-concept work, they’re shipping cloud-native, AI-enabled products that customers actually use. 🔹 About You • 6–8 years’ experience ideally, • TypeScript, React, Node.js wizardry, • AWS experience, • Bonus: React Native 🔹 What You’ll Do • Build event-driven microservices & APIs, • Develop modern, scalable React UIs, • Ship cloud-native systems on AWS, • Collaborate with product & AI specialists to turn ideas into features, • Champion clean, testable, reliable code 🔹 Why Join • Hands-on role with real ownership, • Work with modern cloud architecture & AI products, • Fully remote, but part of a high-performing, collaborative team 📩 Interested? Send over your CV + notice period. 🚀 Senior Full-Stack Engineer – TypeScript / React / AWS

We’re looking for a Machine Learning Research Engineer to join an early-stage quantum computing start-up developing full-stack photonic quantum systems. This role sits at the intersection of advanced ML research and applied engineering, focusing on generative algorithms and hybrid quantum-classical models. You’ll work closely with clients and partners to show how ML and quantum technologies can solve real-world challenges. Responsibilities: • Design, implement, and evaluate new machine learning algorithms, particularly generative models (GANs, flow models, diffusion models) and hybrid quantum-classical neural networks., • Partner with clients to translate practical problems onto the company’s quantum hardware and deliver solutions that demonstrate value., • Expand and improve the company’s software platform with new algorithms, example applications, and research-driven features., • Support scientific innovation by publishing findings and helping safeguard intellectual property. Required Skills & Experience: • Proven experience building and testing machine learning algorithms., • Hands-on experience with GANs, diffusion models, or flow-based generative models., • Strong programming skills in Python, PyTorch, and version control (Git)., • Advanced degree (Master’s or PhD) in Computer Science, Physics, or a related technical field. Preferred Skills: • Experience working with specialized computing hardware (HPC, NPUs, ASICs, or quantum processors)., • Multi-GPU training experience., • Publication record in ML or AI research., • Comfortable presenting and collaborating with clients or stakeholders., • Familiarity with quantum computing principles. Why Join: This role offers the chance to work on cutting-edge ML research applied to quantum hardware, delivering impactful solutions that move from concept to real-world implementation. The position provides hybrid flexibility in London and direct exposure to pioneering quantum technology.

Permanent, Full Time Remote (UK) — handful of in-person days per month Precision HealthTech is building the next generation of intelligent, patient-centric healthcare. Formed through the evolution of Healthy.io (UK), Precision HealthTech combines proven, regulated digital health solutions with new investment, ambition, and scale. Our flagship product, Minuteful for Wound, is a CE-marked, AI-powered platform that transforms a standard smartphone into a clinical-grade wound assessment tool - bringing precision measurement, structured clinical insight, and real-time tracking directly into the hands of clinicians and patients. We are entering a new phase: scaling across the NHS and international markets, expanding our product portfolio, and redefining how care is delivered outside traditional settings. Our technology enables clinicians to work smarter, improves consistency and outcomes, and empowers patients to actively participate in their healing journey. At Precision HealthTech, we are not just digitising existing pathways - we are redesigning them. This is an opportunity to shape the future of regulated digital healthcare at scale, in an organisation that combines deep clinical credibility with the agility of a high-growth technology company. Our culture We are building a small, high-trust team where people take ownership, work collaboratively, and focus on delivering meaningful impact in healthcare. Our work is grounded in a few core principles: • Patients first: Every product must measurably improve outcomes and access., • Precision in everything: Clinical-grade accuracy, operational reliability, and data integrity., • Trust and transparency: With staff, clients, and partners. Recruitment, culture, and decision-making shaped with staff, not done to them., • Bold innovation, quiet delivery: World class technology delivered seamlessly and simply., • Local roots and history with global relevancy: proven UK centre of excellence powering international health impact. What you will do Verifying the inherited cloud environment end-to-end: compute, storage, networking, secrets, deployments. Running the cutover from sandbox to production: DNS, secrets, database verification, health checks. Owning the CI/CD pipeline and evaluating whether to keep or modernise it. Building out monitoring and alerting from whatever baseline exists in the inherited environment. Planning and executing a major PostgreSQL version upgrade. Managing the message broker infrastructure. Codifying the infrastructure in Terraform once things are stable and understood. Owning the security baseline: container scanning, network configuration, access controls, supporting external pen testing. What we are looking for • 5–8 years in infrastructure, platform, or DevOps engineering., • Strong cloud platform skills (GCP preferred — this is a GCP environment, but strong AWS/Azure engineers who can make the jump are considered)., • Kubernetes: cluster management, deployments, networking, security., • Docker: builds, registries, image management., • Database administration: PostgreSQL strongly preferred. Comfortable with major version upgrades, backups, replication., • CI/CD: experience running and improving build/deploy pipelines., • Networking and security fundamentals: firewalls, DNS, TLS, access controls., • Previous work in healthcare, clinical platforms, or medical devices. If you’ve operated infrastructure for a regulated product — where uptime isn’t just a target but a compliance requirement, and where data residency and patient data handling are part of the job — that’s a real plus. Nice to have • Terraform or equivalent infrastructure-as-code., • Observability platforms (Datadog, Grafana, or similar)., • Message broker administration (RabbitMQ or similar)., • Experience taking over systems you didn’t build. Working pattern • Remote role, UK-based. You’ll need to attend in-person meetings and team working days a handful of times per month (typically 2–4 days). These will predominantly be in London.

Pivotal Partners is exclusively partnered with a Series D ($1.1B) AI company defining the AI Software Development space. Backed by top-tier investors and founded by a deeply technical team (ex-Scale AI, Cursor, Modal, Google DeepMind, and Waymo), the company is already valued at $12B. With technical deployment and customer impact at the core of the GTM strategy, this Forward Deployed Engineer role is critical to how the product gets adopted, expanded, and defined in the real world. Location: London, England Role: Forward Deployed Engineer (FDE) As a Forward Deployed Engineer, you will own the technical success and real-world application of the platform across a number of our largest customers. This is a highly strategic, customer-facing engineering role focused on building, deploying, and iterating on solutions... not support. You’ll work directly with senior stakeholders (engineering, product, and leadership) to turn ambiguous problems into production-grade systems that influence real decisions. Why this role: • Opportunity to join and work with leading engineers from Anthropic, OpenAI, Palantir and Scale AI., • Highly technical role with direct exposure to real-world outcomes, • Work sits at the intersection of engineering, product, and strategy, • Genuinely new problem space — no established playbooks, • High ownership and autonomy from day one If you're an Software engineer/Full Stack Engineer who wants to move closer to the problem, the customer, and the decision making itself, this is worth a conversation. Responsibilities: • Own the technical relationship for a portfolio of enterprise customers, • Scope and break down ambiguous, high-impact problems into solvable components, • Design and build production-grade systems (APIs, data pipelines, integrations), • Deploy solutions into real-world workflows that directly influence decision-making, • Act as a trusted advisor to senior engineers, architects, and executives, • Translate customer use cases into actionable product and engineering insights, • Partner closely with Product and Engineering to shape roadmap and capabilities, • Help define and scale how this technology is applied across industries Requirements: • MUST HAVE A STEM degree, • Strong software engineering fundamentals (Python, TypeScript, or similar), • Experience building backend systems, data pipelines, or distributed systems, • Comfortable working with APIs, integrations, and modern infrastructure, • Ability to operate in ambiguous, fast-moving environments with minimal structure, • Strong communication skills across both technical and non-technical audiences, • Experience in customer-facing technical roles (FDE) is beneficial but not required

The Opportunity We are an Imperial College London med tech spinout building AI-powered clinical decision-support tools certified as Software as a Medical Device (SaMD). Our platform uses real-world EHR data to identify patients at risk of preventable harm — giving NHS clinicians time to act. We are a small, high-ownership team operating at the intersection of clinical AI and healthcare infrastructure. This is a foundational engineering hire with a clear path to Head of Engineering as we scale. The Role You will own and shape the technical core of a live clinical AI platform — working across backend services, ML infrastructure, and hospital data integrations. You will have a direct line to the CTO and CEO from day one, with real influence over architectural decisions on a system processing real patient data across NHS trusts. What You'll Do 🔹 Own and extend the backend and ML infrastructure of a production SaMD system 🔹 Design and implement integrations with hospital systems (EHR, HL7/FHIR), including partnerships with major healthcare data platforms 🔹 Build and maintain Python/Azure-based services — APIs, data pipelines, monitoring and audit frameworks 🔹 Write software that meets medical device quality standards, producing artefacts that support regulatory submissions 🔹 Collaborate with clinical, data science, and regulatory stakeholders 🔹 Help define engineering culture and processes as the team grows around you What We're Looking For ✅ 5+ years of professional software engineering experience with a strong Python background ✅ Proven experience building and operating production services on Azure or AWS ✅ Comfort with data-heavy systems — pipelines, databases, REST APIs — and a taste for clean architecture ✅ Strong written communication; able to document work to regulatory audit standard Nice to Have ⭐ Experience in a regulated software environment (medical devices, fintech, defence, or similar) ⭐ Familiarity with FHIR/HL7 or clinical EHR systems ⭐ Exposure to ML model deployment or monitoring in production Tech Stack Python · Azure · Terraform · Docker · ML Pipelines · FHIR / HL7 · GitHub Actions What's on Offer 💰 Competitive renumeration package, depending on experience 🏖️ 25 days annual leave + bank holidays 🏥 Access to clinical and academic networks 🔀 Flexible hybrid working, London base Growth Path As we move through our next funding round and scale clinical deployments, the expectation is that you grow into Head of Engineering or equivalent — owning technical strategy, building a team, and sitting at the table for product, regulatory, and commercial decisions.

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.

🚨 Full Stack Engineer (AI & Cybersecurity Startup) - EU Remote🚨 We're partnering with a well-funded AI startup (stealth for now) that’s building at the intersection of LLMs and cybersecurity, and we’re looking to connect with exceptional Full Stack Engineers across the EU. This is an early engineering hire with huge ownership, high autonomy, and the chance to shape a modern product and architecture from day one. 💸 Salary: €100,000 – €160,000 (£100-140k)+ very strong equity package 🌍 Location: Fully remote across the EU 🛠 Tech Stack: React, TypeScript, Python, AI/LLMs ✈️ Company: Quarterly offsites with a small, high-performing international team Ideal Background – B2B SaaS experience and startup mindset – 6+ years full-stack experience, can build end-to-end features – Proven REST API development with Python – Strong React + TypeScript skills – Bonus: Production level LLM integration experience – Work independently in a small, senior team, shaping architecture and performance If you're interested in joining a cutting-edge AI company and want real impact, autonomy, and technical ownership, feel free to reach out with your CV and notice period. 🚨 Full Stack Engineer (AI & Cybersecurity Startup) - EU Remote🚨

Position Overview The Company requires a mid-level Software Solutions Architect to support operations and business development activities in the UK and Europe. A mid-level Software Solutions Architect designs and contributes to the development of end-to-end software solutions that are aligned with business needs. They design the overall architecture for multiple systems with the goal of fitting the needs of external customers and internal business goals. In the organization chart, they report to the Senior Director of Operations, Calian Defence Europe/UK. As a mid-level Software Solutions Architect, you will be responsible for designing and delivering synthetic environments that prepare military personnel for the challenges of modern warfare. Operating across the UK and Europe, you will integrate cutting-edge simulation technology with rigorous defence standards to create high-fidelity, interoperable training systems. This role requires senior level technical competence but operates with midlevel decision making authority within established governance. Core Responsibilities • Develops end-to-end technical blueprints for LVC training solutions within agreed architectural and governance frameworks, • Taking stakeholder needs into account, makes decisions on end-to-end solutions, including software architectures., • Communicates the architecture to the teams., • Responsible for mentoring and, providing guidance and direction to all technical staff, • Identifies project risks and strategies to mitigate risks., • Identifies issues / problems that relate to technology choices, proposed solutions and process and evaluate or recommend options / alternatives that can address those issues / problems, • Understands current and future requirements and expectations related to projects and corporate objectives and uses that knowledge to estimate effort and select or influence technology choices, technical solutions and architectural frameworks, • Understands the "ilities" and uses that understanding to find solutions, propose frameworks and make sound technical choices to address short-term and long-term objectives, • Understands standards related to system and software engineering processes to be more effective in recommending viable solutions and approaches that establish an acceptable alignment to leadership and clients’ objectives, • Enforces process to ensure quality targets are met by participating in requirements gathering discussions, recommending structural designs, performing design reviews, setting implementation standards and code review rules, providing oversight and direction related to automated testing / load and performance testing etc., • Provides support in the execution of a project, idea or concept by informing / influencing leadership, mentoring developers and understanding and addressing technical issues and obstacles. This includes supporting Business Development and Contract initiatives by providing technical input and guidance and working proof of concepts when applicable, • Participates in the selection or development of project and corporate tools and the selection and design/implementation of project and corporate infrastructures that can assist in improving quality and productivity, • Participates in client meetings and delivers presentations and status for existing and potential clients and partners in support of technical ideas and vision, • Leads or assists in the writing of white papers and other technical documents to communicate technical requirements, concepts and solutions, • Communicates with other Architects and Technical Leads to identify and exploit technical synergies and examine industry trends to establish longer term project and corporate objectives, • Helps to maintain project and corporate backlog tasks that will influence the evolution of project or corporate initiatives and vision, • Takes direction from BD, PD and PM staff and sometimes from Clients directly (when applicable), • Provides input and direction to BD, PD and PM staff depending on the topic, project or initiative (including technical issues, solutions or visions), • Responsible for following up with client's technical staff to gather feedback and help resolve client issues (either directly or indirectly by involving key resources), • Acts as the technical lead for solution definition within assigned bids, supporting Bid Managers by providing technical inputs and components of those bids. Standards & Interoperability: • Simulation: Ensure all architectures comply with defence standards, including but not limited to, HLA (High Level Architecture), DIS (Distributed Interactive Simulation), C2SIM, NATO Education and Training Network Federation Object Model (NETN FOM) and the Defence Systems Approach to Training (DSAT)., • C5ISRT (nice to have): Familiar with Defence C5ISRT standards and C2 Systems, • Bridges the gap between legacy hardware and modern simulation engines like VBS4, Unreal Engine, or Unity. Skills and Qualification: Academic: Four-year bachelor’s degree in computer science or equivalent (e.g. Computer Engineering), or three-year bachelor’s degree or equivalent plus 1 year of relevant experience, or two-year diploma in Computer Technology plus 2 years of relevant experience. Security Clearance: Must hold, or be eligible for, UK Developed Vetting (DV) or equivalent European national SECRET Experience Requirements • Minimum 3 years in a Solution Architect role within the Defence or Aerospace sector, • Minimum 5 years providing technical leadership to teams., • Military Domain experience (LVC Training, C5ISRT or otherwise), • Knowledge of Security in the Military Domain (UK or otherwise), • Proven experience in the UK/European defence procurement lifecycle, • Hands-on experience with cloud infrastructures (AWS/Azure), containerization (Docker/Kubernetes), and distributed simulation networking. Use of AI in Application Review: Calian may use artificial intelligence (AI) tools to assist our recruitment team in reviewing and evaluating job applications. Data Location and Privacy: As Calian is based in Canada, your application data may be collected, processed, and stored within Canada. Calian is compliant with UK GDPR and EU GDPR and will ensure your data is protected.

Senior AI Engineer (NLP / LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing • Designing and developing NLP and LLM-driven solutions for complex, real-world use cases, • Fine-tuning and adapting foundation models using domain-specific data, • Building evaluation frameworks, prompt testing tools and data preprocessing pipelines, • Monitoring, optimising and maintaining deployed models for performance, cost and reliability, • Implementing explainability, fairness and bias-mitigation strategies, • Collaborating on MLOps pipelines, CI/CD workflows and production deployments, • Mentoring junior engineers and promoting best practices across the team, • Staying current with advances in AI, NLP and MLOps to drive continuous improvement What We’re Looking For • Proven experience as an AI or Machine Learning Engineer with end-to-end model ownership, • Strong expertise in NLP and LLMs (transformers, fine-tuning, RAG, agents), • Experience translating research and experimentation into production systems, • Solid understanding of MLOps, including CI/CD, monitoring and model lifecycle management, • Hands-on experience with Docker and Kubernetes, • Experience working in regulated or sensitive domains, • Exposure to graph-based retrieval techniques, • Experience with Azure ML and DevOps integrations

Lead Data Platform Engineer UK Remote Salary: £80,000 - £85,000 This is an opportunity to step into a highly influential Data Platform Engineering role where you will shape, optimise and own a modern Databricks Lakehouse environment. You will play a key role in driving engineering best practice, improving automation and enabling scalable data solutions across a growing data function. The Company They are a large, well‑established organisation known for combining deep technical expertise with a people‑first culture. With a nationwide presence and a modern approach to flexible working, they invest heavily in technology, innovation and colleague development. Their data function is expanding and plays a central role in supporting transformation, decision‑making and future AI initiatives. You will join a collaborative team that values engineering excellence, autonomy and continuous improvement. The Role As Lead Data Platform Engineer, you will: • Develop and deploy Databricks Lakehouse platform solutions within Azure., • Build and maintain automation for clusters, tagging, monitoring and platform operations., • Architect and design end‑to‑end data platform solutions focused on scalability, security and reliability., • Lead delivery using Databricks, PySpark, Spark SQL and Azure Data Factory., • Drive DevOps best practices including CI/CD, automated testing and infrastructure as code., • Collaborate closely with data engineers, ML engineers and wider technical teams to deliver robust platform capabilities., • Take ownership of key data platform projects and influence engineering direction., • Provide technical leadership and ensure standards, patterns and best practices are followed. Your Skills and Experience You will bring: • Strong commercial experience in Azure and Databricks, with deep knowledge of Lakehouse architecture., • Proficiency in PySpark, Python, SQL and Spark SQL., • Strong DevOps engineering skills including CI/CD, automated testing and deployment pipelines., • Experience with monitoring, logging and alerting solutions., • Ability to design, build and optimise cloud platform solutions., • Stakeholder management skills and confidence working across multiple teams., • API development experience., • Azure Data Factory knowledge is beneficial. What They Offer • Salary between £80,000 and £85,000 plus bonus., • Comprehensive benefits package and annual pay review., • Flexible by choice working environment with remote‑first culture., • 35‑hour working week promoting genuine work‑life balance., • Opportunities to shape platform strategy and contribute to future AI and automation initiatives. How to Apply If you are a strong Data Platform Engineer with deep Databricks expertise and want to take ownership of a modern Azure Lakehouse environment, please apply today.

My client, undoubtedly one of the most exciting start-ups in the AI + Semiconductor space is looking for a Principal Analog Verification Engineer to join their team in Oxford. This role could also be based fully remotely, plus a superb salary. If you’re looking to do something completely different and really make an impact, read on. With substantial financial backing and a strong roadmap ahead of them, my client has the potential to completely transform semiconductor development. With a machine learning group already in place, they are now building a new analog team and seek an experienced Analog IC engineer with the desire and capability to shape and grow this new group. As the Senior / Principal Analog Verification Engineer you will be tasked with driving the creation of a machine-learning analog verification flow, creating and simulating transistor level circuits, as well as debugging and rectifying simulation and modelling issues. Our client is aiming to build a strong team, and so you will be key in helping to identify, recruit and mentor future Analog Verification Engineers. The key essentials are: • A BSc / MSc / PhD qualification within Electronic Engineering or similar, • Extensive industry experience within either Analog IC Design or Analog Verification, • A strong handle on Verilog-A (SystemVerilog would be an added bonus), • A background working within the power management space I’m looking for a great communicator who is excited to roll up their sleeves and help shape this fast-growing startup. An exceptional salary is on offer for the right candidate – my client can hire at Senior or Principal level. If this sounds like you, get in touch! Contact Caroline Pye @ IC Resources.

Full-Stack Engineer Location: London (Hybrid) Salary: Up to £80,000 + benefits We have partnered with a well-funded, founder-led technology startup operating in the sports and media space, building next-generation systems for processing and analysing live content in real time. As the platform scales, they’re hiring a Full-Stack Engineer to design and deliver high-performance systems across real-time data pipelines, modern frontend applications, and AI-enhanced product features. What You’ll Do as a Full-Stack Engineer: • Own the end-to-end delivery of real-time video, data, and AI-driven analysis across a modern digital content platform., • Design and build resilient backend services using Java and cloud-native infrastructure., • Develop modern, high-performance frontend applications using TypeScript and a modern JavaScript framework., • Architect and maintain real-time data pipelines using event-driven systems and streaming technologies., • Work across cloud-based serverless and containerised infrastructure to deploy scalable, production-ready systems., • Integrate LLM APIs and AI-powered workflows into product functionality and engineering processes., • Leverage AI coding assistants and modern development tooling to accelerate development and automate workflows., • Collaborate closely with a small, high-trust engineering team to ship features quickly and reliably., • Take ownership of system architecture, infrastructure decisions, and production deployments. Core Technology Stack: • Backend: Java, distributed messaging systems, relational databases, Docker, infrastructure as code, • Frontend: TypeScript, modern JavaScript frameworks, • Infrastructure: Cloud-native serverless and containerised environments, • AI Tooling: Regular use of AI-powered development tools and coding assistants What We’re Looking For in a Full-Stack Engineer: • A polyglot engineering mindset with the ability to work across multiple languages and systems., • Strong experience building backend services and distributed systems., • Ability to read, understand, and contribute to Java-based systems., • Frontend experience with modern frameworks such as React, Vue, Svelte, or similar technologies., • Hands-on experience integrating LLM APIs from leading providers., • Regular use of AI tools and coding assistants to increase development velocity and automate workflows., • Strong engineering fundamentals including testing, documentation, security, and performance optimisation., • Comfort working in fast-moving environments where ownership, clarity, and delivery are expected. Nice to Have’s as a Full-Stack Engineer: • Experience in sports technology, live event data systems, or digital media platforms., • Exposure to streaming technologies or real-time data processing frameworks., • Strong experience designing data architectures and large-scale distributed systems. This is a rare opportunity for a Full-Stack Engineer to help shape a real-time digital platform from an early stage, working with modern cloud infrastructure and AI-augmented engineering workflows to deliver high-impact systems.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 2+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

Senior Data & Analytics Lead (Contract) GTS Space is working with a company who operate at the forefront of advanced engineering and technology programmes across highly regulated environments. They are currently looking to engage a Senior Data & Analytics Lead on a contract basis to support a critical phase of their digital transformation. This is an urgent requirement, offering the opportunity to take ownership of data strategy, reporting frameworks and emerging AI capabilities within a complex, multi-system environment. The role You will act as the central point for data architecture, reporting and analytics, helping to bring structure, governance and scalability to how data is used across the organisation. Working across multiple teams, you will play a key role in shaping how data is modelled, consumed and leveraged to drive operational and strategic decision-making. Key responsibilities • Define and implement scalable data models and reporting structures to support business-wide analytics, • Establish and promote a single, consistent view of data across multiple systems, • Lead the design and delivery of interactive dashboards and reporting solutions, • Work with internal stakeholders to improve data quality, governance and control frameworks, • Identify opportunities to enhance processes through automation and intelligent data solutions, • Support the adoption of AI-driven tools and capabilities to improve insight generation, • Act as a technical point of contact for data-related initiatives across the business, • Strong experience delivering data and reporting solutions in a complex environment, • Advanced capability with Power BI or similar BI tools, including data modelling and visualisation, • Solid understanding of data structures, governance and transformation processes, • Experience working with SQL and structured data environments, • Exposure to AI, automation or advanced analytics tools, • Comfortable working across both technical and business-facing stakeholders, • Able to work in a fast-paced, delivery-focused contract environment, • Eligible for security clearance, • Immediate impact in a business-critical programme, • High level of autonomy and ownership, • Opportunity to shape data and AI capability from a practical, delivery-focused perspective

Job title: FPGA/Firmware Engineer Location: Available within Somerset, Manchester or London on a hybrid basis. Scope The FPGA Engineer will contribute to the development, recovery, and certification support of FPGA-based designs for aerospace platforms, with a strong focus on legacy systems and board bring-up activities. The scope includes reverse engineering existing FPGA implementations, developing firmware from hardware requirements, and supporting integration of FPGA designs onto new or existing boards. About the role As an FPGA Engineer, you will work on the development and support of FPGA designs for legacy and new aerospace hardware. This includes reverse engineering existing designs where documentation may be limited, defining firmware requirements from hardware inputs, and implementing solutions using VHDL on Xilinx or Microchip devices. Responsibilities • Lead FPGA development for legacy aerospace designs, including reverse engineering, and board bring‑up activities., • Develop firmware requirements from hardware requirements., • Work closely with hardware teams, supporting early‑phase board design and integration., • Ensure designs and deliverables comply with DO‑254 aligned processes., • Support generation of design/certification documentation (PHAC), verification strategy, and accreditation discussions (SOI) for low‑complexity designs. Required experience • Strong FPGA experience using VHDL, including Xilinx or Microchip devices., • Proven experience working from limited or legacy design information., • Experience working in regulated aerospace or defence environments (DAL‑D)., • Awareness of DO-254 or similar hardware certification standards is an advantage. About us Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis employs over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets. With a comprehensive solution portfolio across four service lines—Consulting, Solutions, Talents, and Academy—Akkodis supports clients from concept through to full-scale deployment and optimisation. Our diverse offerings help organisations rethink product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, you’ll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology.

🔎 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

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The Role As a Senior Software Engineer at Aveni, you’ll be responsible for building and scaling the products that sit on top of FinLLM (the UK's first LLM for the Financial Services industry) and other LLMs, enabling financial institutions to adopt AI safely and effectively. You won’t be expected to build or train the LLMs themselves, instead you’ll be engineering the platforms, services, user interfaces and integrations that bring those models to life in the hands of advisers, analysts and banking teams. Your work will focus on: • Designing and implementing robust event-driven microservices and APIs, • Building scalable, cloud-native systems on AWS, • Integrating LLM-powered capabilities into real-world workflows, • Collaborating closely with product and AI specialists to turn ideas into reliable, customer-ready features What you’ll be working with You should be comfortable with most of our core technologies: • Python and TypeScript, • AWS (e.g., Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB, RDS), • Microservices and event-driven architectures We also actively embrace AI coding assistants (such as Claude Code) to speed up development, improve code quality and reduce repetitive work — and we encourage engineers to use these tools effectively. What we’re looking for: • Experience building production systems using Python, • Solid understanding of cloud-native engineering on AWS, • Experience with microservices, messaging patterns and distributed systems, • A commitment to clean code, testing, observability and operational excellence, • A proactive and motivated mindset — someone who wants to build, ship and iterate quickly, • Interest in AI-powered products and a drive to learn Benefits at Aveni What you’ll love • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We've built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about technology and its ability to drive positive change for the future of financial services, we'd love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI.

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.

Do you want to use data science to reduce hospital admissions and improve patient outcomes? Have you worked on projects where your models directly influenced real-world care decisions? Are you ready to deliver AI solutions embedded within healthcare systems, not just prototypes? A leading UK consultancy is building a dedicated AI & Data Science team to deliver high-impact work across health and social care. They specialise in embedding technical teams directly within client environments — working alongside clinicians, operational leads, and public sector stakeholders to deliver measurable change. With a strong track record in complex, regulated environments, they’re now scaling their capability across ML, NLP, and advanced analytics. As a Data Scientist (Lead / Principal), you’ll work on projects that directly impact patient care and system efficiency. Recent work includes predictive analytics for fall prevention, combining structured data and clinical notes to trigger early interventions and reduce hospital admissions. Key Responsibilities • Build and deploy data science, ML and NLP models for healthcare and social care use cases, • Work with structured data and unstructured clinical datasets, • Partner with stakeholders to design and deliver end-to-end solutions, • Translate modelling outputs into measurable outcomes (e.g. reduced admissions, improved care pathways) Key Details • Salary: £80,000 - £130,000, • Working model: On-site 3+ days/week with healthcare clients across England, • Tech stack: Python, NLP libraries, MLflow, Databricks, Azure, simulation tools, • Visa: This role cannot sponsor Interested? Please apply below.