Tooling engineer jobs in United Kingdom - Page 4

SENIOR DATA ENGINEER – AI PLATFORM • Opportunity for a Senior Data Engineer to join a high-growth AI-powered SaaS organisation in London, • Offering a salary up to £85,000 + strong benefits package including hybrid working and the opportunity to shape production-grade data infrastructure WHO ARE WE? Due to continued growth, we’re supporting an established AI-driven technology organisation that builds scalable data and machine learning platforms for enterprise clients. The business focuses on transforming complex first-party data into production-ready decision intelligence tools, embedding AI into daily commercial operations rather than delivering one-off projects. As demand grows, they’re expanding their engineering capability to strengthen and scale their data foundations. THE SENIOR DATA ENGINEER ROLE: This is a senior, hands-on engineering role focused on building and evolving the structured data pipelines that power AI-driven SaaS products. You’ll design and maintain high-performance ETL and ELT pipelines across operational and analytical layers, working heavily with SQL and Python-based orchestration. You’ll contribute to schema design, scalable data modelling, and metadata-driven frameworks that enable repeatable, production-ready outputs. The role also involves CI/CD automation, environment governance, and supporting the integration of machine learning outputs into live production systems. You’ll collaborate closely with Data Scientists and AI Engineers to ensure models are robust, monitored, and embedded into reliable pipelines. Alongside delivery, you’ll help shape engineering best practice, mentor others in SQL and pipeline design, and strengthen DataOps standards across the wider team. This position suits someone who enjoys building reusable, scalable infrastructure and wants their work to directly power real-world AI solutions. SENIOR DATA ENGINEER ESSENTIAL SKILLS: • 3+ years’ experience in a Data Engineering or platform-focused role, • Strong SQL expertise (T-SQL, PostgreSQL or similar), • Python for orchestration and data tooling, • Experience building ETL/ELT pipelines in cloud environments, • Strong understanding of dimensional modelling and data architecture principles, • Experience working with CI/CD pipelines and Git-based workflows, • Exposure to Azure, AWS or GCP, • Comfortable collaborating across Product, AI, and Delivery teams, • Strong problem-solving skills and attention to detail TO BE CONSIDERED: Please either apply through this advert or email me directly via . By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Data Engineering, Python, SQL, ETL, ELT, Azure, AWS, GCP, CI/CD, Git, Data Modelling, Cloud Data Platforms, Machine Learning Integration

We’re seeking an exceptional Head of Engineering / Engineering Manager to partner closely with our CTO and lead the next stage of our engineering organisation. We want a deeply technical leader who still loves to build, leads from the front, and thrives in high-velocity, high-ownership environments. Your mission: build the fastest engineering team on the planet. Who you are: You’re a top-tier engineer with proven leadership experience in fast-moving startups or scaleups. You’re comfortable making imperfect decisions quickly, you’ve built products under pressure, and you know that momentum beats perfection. You might be: • A seasoned engineer who has already stepped into an Head of Engineering / Engineering Manager role at a venture-backed startup, • An ex-founder who has built and shipped products under real pressure, • A startup tech lead who thrives on ownership and bold decisions, • A pragmatic builder who values time-to-value over “the right way” What makes you perfect for this role: • Engineering leadership: You’ve coached and unblocked engineers in high-velocity, high-pressure environments., • Deep technical expertise: You have strong architecture instincts and solid security knowledge, but you’ll cut through complexity to keep shipping., • Startup operator mindset: You’ve taken products from 0→1 or through hyper-growth and know how to build systems that evolve with the company., • Velocity obsession: You believe iteration > perfection, and your instinct is always to get value in front of users as fast as possible., • AI-first: You’re bullish on AI, vibe-coding daily, and always looking for ways to push velocity through AI-assisted workflows., • DevX focus: You obsess over developer experience because you know great tooling = more speed., • Execution focus: Monitoring, observability, and performance aren’t “nice to haves”, they’re how you ship fast without breaking trust. What you'll do • Set the bar for engineering velocity: coaching, mentoring, and unblocking the team every day, • Make architectural and security calls fast, balancing speed with long-term resilience, • Build and own best-in-class developer experience - tooling and workflows that eliminate drag, • Monitor and protect reliability and SLAs, while still moving at startup speed, • Establish a culture where iteration is celebrated and perfectionism is challenged How we work at Lightdash • We build in public. Open source means moving fast with shared context., • We challenge problems, not people. No blame, just solutions., • We’re highly collaborative. Independent, but we win as a team (and with our community)., • We bias hard toward impact. We’d rather ship the wrong thing quickly and learn, than waste weeks polishing what nobody needs. Our tech stack: • Primary: TypeScript, React, Node, SQL, • Frameworks: Express, React-hooks, Redux, RTK, Mantine ⚡ We’re deliberately looking for ambitious leaders from startups and high-growth companies. If you want predictability, long roadmaps, and “the right way” over speed, this isn’t the role for you. 👉 Research shows that women and underrepresented groups often don’t apply unless they meet 100% of the requirements. Even if you don’t tick every box, if you have startup experience and a hunger for velocity, we’d love to hear from you.

About Native Native is a VC backed AI startup building the world’s most accurate AI for databases reasoning. This is hard. This is an unsolved problem that once solved will change how every enterprise operates. We recently published our results, achieving rank 1 on the industry standard benchmark. Our research team is based in London. Everyone has high agency, obsessed with the problem we are solving, embraces the intensity of a 6-day week and has the ambition to build something world changing. We are a exceptional research engineers and scientists taking a novel approach to accurate database reasoning. About the role This is a founding research engineer role, with the opportunity to set the research agenda and shape the architecture from day one. • Drive foundational research and engineering for reasoning over complex tabular data, • Design, implement, and iterate on new encoders (including graph transformers) for complex heterogeneous data, • Develop creative and impactful self-supervised learning objectives and translate them into production-ready systems, • Scale novel foundation models across huge datasets, • Build, optimize, and maintain scalable training and evaluation pipelines, • Fine-tune foundation model embeddings into high-value downstream tasks, • Work hands-on across the full stack, from research ideas to deployed systems, • Guide and mentor an exceptional team of research engineers Required experience • Proven ability to lead or significantly contribute to teams tackling hard research-engineering problems, • MSc / PhD in Mathematics, Physics, Computer Science, or a related field, • Strong hands-on experience building, training, and scaling foundation models with modern ML tooling (PyTorch, Ray, JAX), • Strong background in graph neural networks and transformer architectures, • Demonstrated ability to turn research ideas into robust, scalable implementations, • Comfortable owning whatever needs doing, from research prototypes to infrastructure, • Experience optimizing large-scale training runs on GPU clusters Why join us This is a rare chance to join a founding team operating at the frontier of AI, with the resources to win. • Impact: You will push the frontier of foundation models for an under-explored, massively valuable domain., • Team: We are a small, collaborative, world-class research team based in central London., • Founding level equity + competitive salary: We want you to share in the upside of what we are building. As part of the founding team, you will receive meaningful ownership alongside a salary that allows you to focus on building something great., • Direction: Chance to shape the direction of a new class of foundation model from day one. Culture • At Native, we look for people with exceptional research and engineering ability, who want to win., • Everyone loves building and is ambitious enough to want to change how the world operates for the better., • We run towards hard problems., • We are creative problem solvers, who keep going until we find the underlying principle of the problem, and build to solve that., • If you have an entrepreneurial spirit, are intrinsically motivated and want to have a huge impact, we are a great fit.

Graduate Software Engineer - Portfolio Management £45K - £55K + Bonus + Bens A small, high-performance team at the centre of a specialist risk manager are looking for several Computer Science/Maths graduates to join them in London. You will be joining a team that builds systems and tooling that are critical to the business. This is a business facing role that will interface daily with underwriting, actuarial, finance and investor relations. It will provide you with the opportunity to learn about topics such as catastrophe modelling, capital raising and loss simulation, and in turn apply these learnings to the systems and tooling that you build. You will take ownership of projects very early on, giving you the freedom to innovate and take responsibility for the solutions that you create. Being part of a small, high-performing team, the work that you produce will be widely visible and make an impact on key business functions, which will provide you with the potential to progress quickly. The successful candidate will have excellent analytical and problem-solving skills, with a strong attention to detail and desire to deliver results. You will be curious about the nature of the wider business, and eager to collaborate with the rest of the team to drive innovation. The firm have a very specific set of requirements and will not look outside of this. They are; • Have studied Computer Science or Maths at a Top University, • Have strong OOP – language is not important; Python, Java, C++/C#., • Strong problem-solving capability, • Some SQL experience, • Have had internship or placement experience (non-negotiable) Salary range is £45K-£55K + bonus + pension + healthcare + gym + opportunity for international travel. Your output will determine how far and how fast you progress and top performers will be compensated accordingly.

AI Tooling / Solutions Engineer Hybrid - London Up to £50k We’re building something special, and we want the right people at the center of it. Our platform is used by tier-one banks, hedge funds, and trading firms to identify latency bottlenecks and performance issues in high-performance electronic trading environments. Rather than throwing money or hardware at problems, our technology pinpoints the real root causes, using insight that only comes from deep experience in trading system performance engineering and first-hand knowledge from ex-technical traders. We’re now entering an exciting growth phase. Alongside our existing offering, we’re developing a Cloud/SaaS platform and scaling globally, supported by industry leaders who have already validated the product as a category leader from a technical perspective. The Role We’re looking for an AI Tooling / Solutions Engineer to help us rapidly and safely leverage modern AI technologies to improve internal workflows, usability, and scalability. This role is not about embedding AI directly into our client-facing product. Instead, you’ll focus on using existing AI tools, models, and frameworks to design and build supporting tooling that sits around the product, enabling internal teams (and, over time, partners) to operate it more effectively. This is a newly created, high-impact role driven by a strategic shift. AI is now central to how we maintain our technical lead, accelerate development, and scale without compromising IP, data security, or client trust. The position would suit a highly capable graduate or early-career engineer who enjoys applied problem-solving, experimentation, and building practical tools that deliver real impact. What You’ll Be Doing • Researching and evaluating modern AI tools, models, and frameworks (e.g. LLMs, AI-assisted development tools, orchestration frameworks), • Identifying where AI can safely and effectively reduce complexity or manual effort, • Designing and building internal tools such as:, • Lightweight GUIs for operational tasks, • Workflow automations for engineering and support teams, • Data enrichment or metadata tooling, • Prototyping quickly, validating with users, and iterating towards production-ready solutions, • Advising on model selection, cost vs performance trade-offs, and deployment considerations (cloud vs on-prem), • Acting as an internal point of reference for “what’s possible now” in applied AI, with a pragmatic, non-hype-driven mindset, • Documenting tools, decisions, and lightweight roadmaps What This Role Is — and Isn’t This role is: • About using AI to build tools, not building AI products, • Focused on wrappers, interfaces, workflows, and developer tooling, • Experimental, exploratory, and delivery-oriented, • Hands-on: researching, prototyping, implementing, and shipping This role is not: • About embedding AI into a core, client-facing product, • A long-term blue-sky AI research role, • A traditional DevOps, network, or domain-specific finance role, • About building fully autonomous or agentic AI platforms What We’re Looking For Background • Strong academic background, ideally a Master’s or PhD in AI, Computer Science, Software Engineering, or a related field, • Exceptional graduates with equivalent capability and hands-on experience will also be considered Technical Skills • Solid software engineering fundamentals (e.g. Python, modern scripting languages, APIs, basic UI development), • Hands-on experience using AI tools for development or problem-solving (e.g. LLMs, prompt engineering, model comparison, AI-assisted coding), • Understanding of AI limitations and trade-offs (accuracy, cost, latency, hallucinations, data handling), • Comfortable working with cloud-based tools, with awareness of data governance and deployment constraints Mindset • Highly curious, self-directed, and motivated to learn quickly, • Practical and delivery-focused rather than purely theoretical, • Comfortable operating with ambiguity and minimal hand-holding, • Excited by working in a small, fast-moving, non-corporate environment Experience in financial services / capital markets beneficial but not essential What Success Looks Like (First 6 Months) • Delivery of 2–3 internal tools that measurably reduce operational friction, • Clear recommendations on how and when AI tools should be used internally, • Demonstrated ability to independently research, propose, and execute solutions, • Strong working relationships with senior engineers and technical leadership Salary & Benefits • £40,000–£50,000 base salary (open to discussion for the right candidate,), • Flexible hybrid work set-up, • Accelerated learning and meaningful ownership from day one This is a rare opportunity to help shape how a highly specialised technology company adopts AI from the ground up. You’ll work on real, high-impact engineering problems, with direct influence over the tools, workflows, and technical direction of the business. With hands-on ownership and close exposure to senior engineers, the learning curve is far steeper than in a traditional graduate programme, offering accelerated growth and meaningful responsibility from day one.

Founding Engineer - £100k + meaningful equity - 📍 London (hybrid ~3 days onsite) An early-stage, well-funded AI company in the energy space is looking for a Founding Engineer to help take a production platform through its next stage of growth. The product is already live and used in the real world. The focus now is scaling it, extending core APIs, and responding directly to customer demand. You’ll work closely with the founder, have genuine ownership over technical direction, and play a key role as the company moves towards its next funding round. This suits someone who enjoys being close to the product and the decisions - not just implementing tickets. You’ll be building and owning backend systems, shaping architecture, and helping define how the platform evolves. We’re looking for a strong backend engineer who’s comfortable owning production APIs, ideally with TypeScript / Node.js (or a solid Java/Python background with Node experience), who thinks in systems and trade-offs. A product mindset matters more than years on a CV. Interest in AI-driven tooling and early-stage environments is a big plus. You should be happy working in a small, high-trust team, collaborating in person a few days a week, and taking responsibility for outcomes rather than just code. In return, this offers real ownership, £100k salary plus equity, and a clear path into a senior or “head of” role as the company scales. If this sounds like your kind of role - or you want to hear more - apply or drop me a message for a confidential chat.

Senior Java Engineer – Reactive (Spring WebFlux) London – Hybrid (1 day per week onsite) Are you a senior, hands-on Engineer who thrives in event-driven, asynchronous environments? Do you enjoy building low-latency, high-throughput distributed systems where correctness, resilience, and performance really matter? This is an opportunity to work at the core of real-time payments infrastructure, helping to power instant transactions for some of the world’s largest banks. We’re hiring on behalf of a leading payments consultancy delivering mission-critical, event-driven platforms that integrate deeply with bank infrastructure to enable secure, real-time payments at global scale. What You’ll Be Doing You’ll play a senior individual-contributor role within a high-performing engineering team, building asynchronous, message-driven systems designed for scale, resilience, and near-zero downtime. • Design and implement high-throughput, low-latency systems processing millions of real-time payment events, • Build event-driven architectures using modern Java and reactive frameworks, • Work extensively with non-blocking I/O, asynchronous flows, back-pressure, and concurrency, • Contribute to system and API design, focusing on scalability, fault tolerance, and observability, • Collaborate closely with architects, engineers, and client teams across Europe, • Operate in Agile environments (Scrum / Kanban) with a strong engineering culture Tech Stack (current & evolving): Java 17+, Spring WebFlux, Akka, Kafka, reactive streams, distributed messaging, cloud-native tooling What You Bring We’re looking for engineers who enjoy thinking in events, streams, and asynchronous workflows, and who take pride in building systems that perform under pressure. • Strong hands-on experience with Java 11+ (ideally Java 17) in production environments, • Deep understanding of asynchronous and reactive programming models, • Proven experience with event-driven architectures and real-time messaging (Kafka, JMS, Akka, etc.), • Solid grasp of distributed systems concepts: concurrency, idempotency, fault tolerance, and resilience, • Experience building and testing production-grade systems using TDD/BDD and CI/CD pipelines, • Comfortable working on complex, long-lived systems where performance and reliability are critical Bonus (not essential): Experience in banking, payments, or financial systems, or if you’ve built real-time platforms at scale. What’s In It for You • £100,000 – £115,000 base salary (DOE), • 20% annual bonus, • Work on event-driven, real-time systems with global impact, • Hybrid working – 1 day a week onsite (more if you prefer), • Exposure to major international banks and payment networks, • A product-led, engineering-first environment where technical decisions matter

Senior Data Engineer AI SaaS | Data as a Product | London (Hybrid) This is a brilliant opportunity for someone who loves solving problems at the intersection of data and product and wants real ownership in a fast-scaling company. I’m partnering with a high-growth SaaS business with a standout product and serious traction. They're already profitable, backed by strong investors, and scaling quickly to meet demand. This is your chance to get in early. Here, data isn't a support function, it's the product. You'll help complex organisations implement and expand a platform that's reshaping how the industry operates through advanced analytics and AI to drive real-time decision-making. You’ll be: • Building and optimising scalable data pipelines, • Integrating complex systems, • Turning messy, real-world problems into clean technical solutions., • Contributing to new features as the platform evolves They’re building a small, elite engineering team in London and are looking for engineers who want visible impact. This is not another dashboard product or incremental feature work, and it's not a company where engineering sits in the background. Engineers here: • Build mission-critical systems used by C-suite leaders, • Solve complex data challenges, • Develop AI-enabled workflows in production, • Take ownership from design through to deployment, • See their work influence major organisations Requirements: • Strong Python and data fundamentals, • Experience working with data pipelines or distributed systems, • Experience in data, analytics engineering, platform engineering or technical consultancy, • Experience with modern data tooling such as Databricks, Snowflake, DBT, and Airflow. Why now? The company is scaling rapidly across industries. Join now and you’ll: • Shape how the platform evolves, • Learn directly from senior technical and business leaders, • Take on real responsibility and have meaningul progression If you’re excited by data, product, real-world impact and want to accelerate your career, then apply below.

🚀 Are you a Data Engineer who enjoys building production-grade pipelines, optimising performance, and working with modern Python tooling (DuckDB/Polars) on time-series datasets? I’m supporting a UK-based fintech in their search for a hands-on Python Data Engineer to help build and improve the data infrastructure powering a unified data + analytics API for financial markets participants. You’ll sit in a engineering/analytics team and take ownership of pipelines end-to-end — from onboarding new datasets through to reliability, monitoring and data quality in production. In this role, you’ll: • 🔧 Build, streamline and improve ETL/data pipelines (prototype → production), • 📈 Ingest and normalise high-velocity time-series datasets from multiple external sources, • ⚙️ Work heavily in Python with a modern stack including DuckDB and Polars (plus Parquet/PyArrow), • 🧩 Orchestrate workflows and improve reliability (they use Temporal — similar orchestration experience is fine), • ✅ Improve data integrity and visibility: validations, automated checks, backfills, monitoring/alerting, • 📊 Support downstream analytics and client-facing outputs (dashboards/PDF/Plotly — least important) What’s in it for you? • 📌 Modern data stack – DuckDB/Polars + Parquet/Arrow in a genuinely hands-on environment, • 📈 Ownership & impact – You’ll be close to the data flows and have real influence on performance and reliability, • 🏦 Market data exposure – Work with complex financial datasets (experience helpful, interest is enough), • 🏢 Hybrid London – London preferred, with 2–3 days in the office, • ⚡ Start ASAP – Interviewing now What my client is looking for: • Strong Python + SQL fundamentals (data engineering / ETL / pipeline ownership), • Hands-on experience with DuckDB and/or Polars (DuckDB especially valuable), • Experience operating pipelines in production (monitoring, backfills, incident/RCA mindset, data quality), • Cloud experience with demonstrable production use (Azure preferred), • Clear communicator, comfortable working across engineering/analytics stakeholders Nice to have: • Time-series data experience (market data, telemetry, pricing, events), • Streaming exposure (Kafka/Event Hubs/Kinesis), • Experience with Temporal (or similar orchestrators like Airflow/Dagster/Prefect), • Any exposure to AI agents / automation tooling 👉 Apply now!

Senior Machine Learning/AI Engineer • £100,000-£125,000, • Hybrid working model: three days per week in the office (Monday, Tuesday, plus one flexible day) LDN, • 27 days of annual leave plus 8 bank holidays and 5 additional days, including life event, volunteering, and company-wide wellbeing days., • Private medical insurance, medical cashback, life insurance, gym membership, wellbeing resources, and access to mental health support., • Opportunity to work remotely from anywhere for up to 10 days per year. We are currently partnered with a company that believes technology should empower everyone to achieve their potential. As an Senior Machine Learning/Applied AI Engineer, the successful candidate will turn cutting-edge AI research into real-world products that make learning and development smarter, more personalised, and more impactful for thousands of users. The Senior Machine Learning/Applied AI Engineer role sits within a growing Applied Science team and is focused on building, deploying, and scaling AI systems that operate in real production environments. This is a senior, hands-on role for engineers who have moved beyond experimentation and have delivered LLM-powered systems that directly impact products, users, or business outcomes. Key Responsibilities • Design & Deliver AI Solutions: Partner with Product, Design, and Data teams to shape and deliver AI-powered features that drive meaningful impact for learners and create value for customers., • Leverage Large Language Models (LLMs): Design, fine-tune, and integrate LLM-powered solutions for use cases including content generation, semantic search, summarisation, and personalised learning experiences., • Build & Integrate Models: Develop, fine-tune, and embed machine learning models into production systems using modern AI tooling, ensuring solutions are scalable, reliable, and performant., • Own the End-to-End Lifecycle: Take responsibility for the full lifecycle, from raw data and experimentation through deployment, monitoring, and continuous iteration., • Measure What Matters: Track performance, accuracy, and adoption of AI features, using insights to drive continuous improvement., • Enable Others: Share expertise and help make AI approachable, enabling teams across the organisation to enhance their work with AI., • Lead in MLOps & Cloud Infrastructure: Build robust pipelines for model training, deployment, monitoring, and retraining using AWS and modern MLOps best practices., • Champion Innovation: Stay ahead of emerging AI tools and techniques, applying them to deliver exceptional, user-focused experiences. What the Company Is Looking For • Hands-On AI/ML Expertise: Experience building and deploying machine learning models using frameworks such as PyTorch, TensorFlow, or scikit-learn., • LLM Experience: Proven experience working with large language models (e.g. GPT, Claude, Gemini) in production environments, including prompt engineering, evaluation, and safety considerations., • Strong Engineering Skills: Proficiency in Python and TypeScript, with experience building APIs, microservices, and cloud-native applications., • Modern AI Tooling: Familiarity with emerging AI development tools such as Cursor and Gemini is highly desirable., • Cloud & MLOps: Practical experience deploying AI solutions on AWS, including CI/CD, model versioning, observability, and retraining pipelines., • Data Fluency: Skilled in working with structured and unstructured data, including preprocessing and feature engineering., • User-Centred Mindset: Ability to translate complex AI capabilities into intuitive and seamless product experiences., • Collaborative Approach: Thrives in cross-functional, creative teams and values building together., • Growth Mindset: Curious, open to feedback, and committed to contributing to an inclusive, high-performing culture. Click apply to be considered for shortlisting.

Technology Resilience Lead Enterprise Architect Contract – inside IR35 UK based £700 per day A global technology consultancy is seeking a senior Technology Resilience Lead Enterprise Architect to embed within a major financial services client. The programme is funded for three years, with an initial six-month contract. This is a horizontal enterprise architecture role focused on raising resilience maturity across a complex, multi-region banking estate. You will operate across application, cloud, infrastructure, data and operational domains, shaping resilience standards and influencing engineering practices at scale. Key responsibilities: • Contribute to enterprise technology resilience strategy across application, infrastructure, security, data and operations, • Define and embed reusable resilience design patterns and reference architectures, • Turn production incident data and failure analysis into architectural improvements, • Drive adoption of SRE practices including SLOs, SLIs and error budgets, • Strengthen observability standards across logging, monitoring and telemetry, • Support resilience scenario testing, FMEA and controlled failure exercises, • Contribute to central resilience tooling and visibility initiatives, • Produce architecture and strategy papers for senior technology leadership Essential experience: • Senior engineer or enterprise architect background across cloud, application, infrastructure or data, • Demonstrable expertise in technology resilience and service availability, • Experience within large, regulated financial services environments, • Strong understanding of DevOps and SRE operating models, • Experience with CI/CD, automation and infrastructure as code, • Ability to analyse incident and operational data to drive systemic improvements Desirable: • Microservices and container architecture, • Observability tooling and telemetry frameworks, • IT Service Management, • ServiceNow exposure, particularly Continual Improvement or Integrated Risk modules, • Experience operating within global organisations This role requires a technically credible architect with an engineering mindset who can challenge constructively at senior level and drive resilience uplift across distributed teams. Contract details: • Inside IR35, • £700 per day, • Initial six months, • Three-year funded programme, • UK based, • Consultancy engagement embedded within financial services client If you have deep resilience architecture experience and want to influence reliability at enterprise scale, please get in touch.

Location: Hybrid - Croydon, UK (2–3 days on site), with some remote working Client: Public Sector Rate: £500-600 per day (Inside IR35 preferred, Outside IR35 considered) Duration: 6 months (lots of scope, will be extended based on delivery) Start: ASAP Security Clearance: Must hold current, active SC clearance About the Role: We are seeking an experienced Senior DevOps Engineer to join a high-performing delivery team supporting critical public services. You will be responsible for building and maintaining secure, scalable cloud infrastructure using modern DevOps practices across AWS and Kubernetes environments. This role requires an individual who is comfortable working in secure, high-assurance environments and collaborating with multidisciplinary agile teams. Key Responsibilities Design, build, and maintain scalable and secure AWS infrastructure Deploy and operate Kubernetes platforms (EKS or equivalent) Implement and manage CI/CD pipelines and automation frameworks Use Infrastructure as Code (Terraform, CloudFormation, or similar) Support containerised workloads (Docker, Helm) Monitor, troubleshoot and resolve production incidents Work closely with development, architecture and security teams Ensure platforms meet security and compliance standards Contribute to technical design and continuous improvement Essential Skills & Experience Active SC clearance (mandatory) Strong hands-on experience with AWS Strong experience with Kubernetes Proven experience delivering production DevOps platforms Infrastructure as Code (Terraform / CloudFormation / Ansible) CI/CD tooling (GitHub Actions, Jenkins, GitLab, etc.) Container technologies (Docker, Helm) Experience working in secure or regulated environments Excellent communication skills and ability to work in agile teams Desirable Experience Experience working with UK Government or public sector clients Monitoring and observability tools (Prometheus, Grafana, ELK) SRE or reliability engineering practices Security-focused DevOps implementations Why Join? Work on mission-critical systems within the Home Office Hybrid working with flexibility Opportunity to shape DevOps and cloud engineering standards Competitive day rate with potential extension

AI Engineer London (Hybrid – 3 days a week in office) Up to £100,000 About the Company We’re supporting a global, market‑leading wellness and fitness organisation that is scaling its AI capabilities at pace across multiple international markets. With a mission centred on improving people’s lives through wellness, the company blends technology, data, and modern engineering practices to enhance member experience, drive commercial growth, and unlock operational efficiency. The organisation has recently invested heavily in a cutting‑edge AI function, with a mandate to design, build, and deploy end‑to‑end AI solutions that solve meaningful, real‑world business problems. This is an environment where AI engineers work hands‑on with cross‑functional teams and where shipped solutions make a tangible impact across digital products, marketing, operations, and member experience. The Role They’re now hiring an AI Engineer to join a growing AI team delivering production‑grade AI systems across the business. This role sits at the intersection of software engineering, machine learning, and applied data science — ideal for someone who enjoys building real products, not just prototypes. You’ll work end‑to‑end: from problem framing and data preparation, through modelling and experimentation, to deployment, monitoring, and iteration. You’ll collaborate with teams across Digital, Marketing, Operations, Finance, and Governance to translate business challenges into robust, ethical AI solutions. If you want to build AI systems that genuinely impact users, unlock commercial value, and scale across multiple markets, this offers a rare level of ownership and breadth. Key Responsibilities • Act as a hands‑on builder of AI‑powered products from idea to production., • Combine software engineering, data engineering, and ML/LLM skills to deliver scalable solutions., • Rapidly prototype, test, and iterate with real stakeholders and real data., • Work closely with business teams to identify opportunities and define success criteria., • Translate real operational problems into actionable AI solutions., • Build models using classical ML (e.g., tree‑based methods, forecasting, uplift) as well as LLMs and generative AI., • Develop predictive solutions such as churn, propensity, next‑best‑action, and lead scoring., • Build APIs, services, and integrations enabling AI models to power real products., • Embed AI into digital journeys, CRM systems, member apps, and internal tools., • Manage the full lifecycle of models: deployment, monitoring, alerting, retraining., • Build scalable pipelines and ensure reliability, performance, and efficiency. Requirements • Proven experience in applied data science, ML engineering, or software engineering with strong AI/ML responsibility., • Proven track record delivering AI/ML solutions into production., • Experience working closely with business teams such as Marketing, Product, or Operations., • Background in one or more of: personalisation, customer analytics, conversational AI, recommendation systems, optimisation, or marketing analytics., • Deep understanding of ML fundamentals across the full lifecycle., • Hands‑on experience with ML frameworks (scikit‑learn, XGBoost, PyTorch, TensorFlow, LightGBM)., • Strong exposure to LLMs, prompt engineering, RAG, and evaluation frameworks., • Familiarity with MLOps tooling: CI/CD, experiment tracking, model registries, monitoring, containers. Please note: This role cannot provide VISA sponsorship.

🚀 DevSecOps Engineer Lead 📍 Location: Hybrid working 🕒 Type: Permanent, full time (40 hours per week) 🌍 Visa sponsorship: Available if required Ready to lead DevSecOps at enterprise scale and shape how secure software is delivered end to end? This is a senior, high impact role with real ownership and influence. We are hiring a DevSecOps Engineer Lead to define and deliver a modern, secure CI/CD capability across multiple digital product teams. You will play a key role in a large scale digital transformation, setting standards, driving automation, and embedding security by design throughout the delivery lifecycle. You will lead DevSecOps strategy across multiple digital product teams, owning standards, tooling, and delivery practices. The environment is Azure based, with Azure DevOps used alongside Salesforce Copado to deliver secure, automated pipelines across the estate. 🔧 What you will be doing • Owning the DevSecOps strategy and roadmap across cloud native platforms, • Leading and mentoring DevOps engineers, setting best practice for CI/CD and automation, • Designing scalable, secure DevSecOps architectures aligned to enterprise standards, • Standardising CI/CD pipelines, with a strong focus on Salesforce Copado, • Driving secure by design practices across code, containers, clusters, and cloud, • Managing Salesforce deployments and release processes using Copado, • Partnering closely with product, engineering, architecture, and supplier teams, • Embedding observability and DORA metrics to improve quality and reliability, • Ensuring strong governance, audit readiness, and regulatory compliance ✅ What we are looking for • Proven DevSecOps leadership experience in enterprise scale environments, • Strong hands on experience with CI/CD tooling, automation, and cloud infrastructure, • Deep Salesforce knowledge, including Copado CI/CD and release management, • Experience with APIs and integration patterns such as REST, SOAP, and middleware, • Solid understanding of governance, change control, and compliance standards, • Confident communicator who can influence senior technical and non technical stakeholders 🌟 Why this role? • High visibility role with real influence over DevSecOps standards, • Opportunity to lead Salesforce Copado delivery at scale, • Complex technical challenges in a mature enterprise environment, • Supportive culture focused on quality, security, and continuous improvement, • Visa sponsorship available where required

Do you want to build production GenAI products (not prototypes) in a business with real scale and board-level visibility? Have you shipped LLM/RAG systems end-to-end and owned them in production? Are you ready to join a new AI team early and shape how AI is delivered across a global consumer brand? A global fitness and wellness brand is building a new Group AI function to deliver high-impact AI solutions across the organisation. With new leadership in place (including a newly appointed Chief AI Officer), this team has top-down backing and a clear mandate to ship measurable AI outcomes across both customer-facing and internal operational use cases. For example, app-based agents and optimization algorithms for physical spaces (maintenance, costs, customer experience). As an AI Engineer, you’ll build and deploy end-to-end AI solutions across the company, working closely with stakeholders and owning delivery from brief to production. This is a builder role for someone who enjoys taking ambiguous problems, designing a practical AI solution, and deploying it into production. You’ll work across both GenAI and applied ML, building scalable AI services that directly improve customer experience and business performance. Key responsibilities • Design, build and deploy end-to-end AI solutions, • Develop LLM solutions (e.g. RAG, workflow orchestration, evaluation), • Build APIs/services integrating data sources and AI outputs, • Translate stakeholder needs into practical technical delivery plans, • Own delivery quality: reliability, performance, observability, iteration, • Collaborate across engineering, data, operations, and product teams What they’re looking for • 4-6+ years of industry experience, • Strong Python and SQL, • Hands-on GenAI delivery (RAG/LLMs; LangChain-style tooling strongly preferred), • Comfortable operating independently with real ownership, • Solid stakeholder management and ability to explain clearly to non-technical audiences, • DS background that has moved into AI engineering / LLM product delivery is ideal, • Bonus: Databricks, Azure, MLOps/CI-CD experience Interested? Please apply below.

Security Engineer Confidential | AI Startup (Series A, Venture Funded) | London (Hybrid) We are a London and New York based, Series A artificial intelligence startup with $25m in funding from venture capital funds across San Francisco and Palo Alto. We have raised $25m to date, partner with some of the world’s largest and most complex enterprises (Fortune 500 and equivalent), and are currently growing our team from approximately 30 to 60 employees. We’re seeking a hands-on Security Engineer with 4+ years of experience in high-growth, cloud-native environments to help us enhance and implement security across our tech landscape including web application, cloud infrastructure and endpoints, working alongside our customers, and promote a security-first culture as we scale. As our first dedicated security engineering specialist, you’ll work both operationally and strategically, partnering closely with our Information Security & Risk Management Lead and collaborating cross-functionally with engineering, product, and other teams. You’ll own the technical aspects of security, implement and harden controls, manage threats, respond to incidents, elevate our security posture, ensure a security-first culture and drive strategic improvements and projects as we scale. You’ll also collaborate with our Solutions Engineering Lead on enterprise onboarding, helping customers navigate security, identity, networking, and compliance requirements during technical validation and rollout. Location: London Working pattern: Hybrid (3 days per week in a central London office) LOCATION Hybrid: London based in our office in Central London, with flexible, fluid work options that support in-person collaboration where it makes sense. We’re committed to building a diverse team and welcome people from all backgrounds to apply. If you’re excited about this role and our mission but aren’t sure you meet every qualification, reach out anyway. You may be just the right candidate. The Role What you’ll do: • Conduct security assessments, threat hunts, code and logs reviews, and penetration testing to identify vulnerabilities in our applications, and drive continuous monitoring improvements., • Design, implement, optimize, and monitor security controls and tooling from the ground up, strengthening security across endpoints, infrastructure, and application CI/CD pipelines., • Collaborate with engineering teams to raise the security bar through reviews, guidance, and automation., • Respond to security incidents in real time - manage containment, remediation, forensics, and root cause analysis. Also participate in tabletop exercises, incident simulations, and coordinate external penetration tests., • Partner with Solutions Engineering to support enterprise customer onboarding, including SSO integrations (SAML/OIDC), network allowlisting, and security reviews., • Join customer-facing technical and security discussions where needed, acting as a trusted security point of contact., • Risk Management: support the Information Security & Risk Management Lead with vendor security assessments to evaluate third-party risk, and ensure we meet our present and future regulatory and certification requirements (GDPR, ISO 27001, ISO 42001 etc.)., • Stay current on emerging threats, vulnerabilities and technologies, and contribute to company-wide security awareness initiatives. What You Can Expect • Modern cloud-native stack with the opportunity to influence tooling and architecture., • Immediate impact by choosing and deploying new tooling to enable a fast-growing business., • Customer-facing impact - help unlock enterprise deals and accelerate adoption by reinforcing trust, compliance, and smooth technical onboarding. Security as a sales lever, not a cost., • Autonomy and collaboration - the opportunity to focus on coding/programming and implementation, but also collaborating cross-functionally with other teams such as solutions engineering, product, and GTM., • Growth potential - opportunity to define our security architecture to ensure resilience and security, including HA and ZTNA in a growing global business., • You’ll work with people who are passionate about what they do, supported by leaders who are empowering, supportive and inclusive. Experience You might be a good fit if you have: • 4+ years in cybersecurity or technical security or solutions engineering roles., • Hands-on experience deploying and managing security tooling - such as DLP, EDR, IAM, MDM, SIEM, ZTNA, or vulnerability scanners, and enjoy solving problems at the implementation level., • Strong communication skills and comfortable communicating technical security concepts to non-security stakeholders., • Working knowledge of networking, Windows/macOS, and security protocols., • Experience with security reporting and compliance tools., • Cloud security knowledge (we use AWS)., • Proficient in programming languages e.g. Typescript, Python, Bash, or similar., • Strong skills in log analysis, threat investigation, and incident response., • A proactive and solution-oriented mindset, with a bias for action. Desirable It would be a bonus if you have expertise in, or a desire to gain experience in, one or more of the following (note that candidates are not expected to have comprehensive knowledge in all areas) • Hands-on experience with AWS and AWS security services (CloudTrail, GuardDuty, WAF, IAM, Security Hub)., • Experience supporting enterprise customers during technical onboarding or security validation., • DAST/SAST tooling and IaC security expertise., • Knowledge of Kubernetes and container security., • Identity & Access Management experience (e.g. Okta)., • Experience with JVM languages, Terraform/IaC, CDK, or React., • Familiarity with GDPR, ISO 27001, SOC 2, EU AI Act/LLMs., • Experience delivering audits or using GRC tools (e.g. Drata, Vanta), • Interest in AI and/or knowledge of AI security risks and frameworks (e.g. ISO 42001)., • Security qualifications or certifications such as Security+, CySA+, GSEC, CCSP, CISM, CISA, CISSP, ISO 27001 LI/LA.

Captur helps software understand real world scenes in real-time with an SDK for flexible, on-demand visual recognition. We’re a small, rapidly scaling team backed by top-tier investors; we recently closed a $6M seed round to accelerate product and go-to-market growth. We are global leaders in edge ML and have validated +150M images on-device for enterprise customers such as Lime. Next, expanding as a horizontal platform across use cases that require real-time speed, high volume and coverage across a wide range of mobile devices. Role Snapshot You’ll own core pieces of our Android SDK: performance, stability and developer experience. You’ll profile power, latency and memory, optimise threading and networking, shape public Kotlin APIs and harden telemetry. You’ll also take ownership of production issues surfaced by Solutions Engineering and Customer Success: reproduce, fix the root cause and ship improvements. You won’t handle customer contracting or sales calls; your focus is a fast, stable SDK that makes integrations effortless. In H1, you’ll be partnering with the Head of Mobile and our React Native SDK engineer to deliver the next-generation SDK: translate product requirements into a revised SDK architecture, lead implementation of the key features, run a staged beta and show before→after gains on crash/ANR, latency and battery on our device matrix. Key Responsibilities Performance and reliability • Profile and optimise on-device performance and data paths (battery, CPU/GPU, memory), • Own threading, scheduling and back-pressure; make frame-time and latency predictable across device classes, • Design clear, stable, Kotlin-first public APIs (versioned, well-documented, testable), • Implement best practices for networking, auth and IO; make failure modes deterministic and observable, • Own CI/CD for the Android SDK (GitHub Actions/GitLab CI) and dependency hygiene; prepare release artefacts and hand off to Solutions Engineering for release cadence and publishing, • Partner with the Solutions Engineer: reproduce field issues, write minimal repros, land fixes and verify via dashboards, • Co-design the next generation of the Android Captur SDK for release at the end of Q2, • SDK Engineer owns: code quality, API design, perf, stability, instrumentation, and technical notes for releases, • Solutions Engineer owns: release cadence, artefact publishing, changelogs, customer comms and debug sessions What Success Looks Like (First 3 Months) 30 Days: • Get fully set up, read the codebase and understand how the SDK integrates into customer apps (run the sample integrations end-to-end), • Take on small backlog items and minor bug fixes to gain experience with the SDK, • Own a set of feature requests/changes in the existing SDK from design to merge, • Improve crash reporting and metrics: add any missing telemetry/events needed for clearer root-cause and cleaner dashboards, • Provide meaningful input on core sections of the SDK revamp (review/author proposals, • Become the Android SDK SME day-to-day: work independently with the Solutions Engineer to reproduce issues and land fixes that improve customer experience Core Requirements • Deep Kotlin (3+ years) experience focused on systems-level/SDK work (not UI-heavy app development): threading/concurrency, memory, camera/graphics/IO and performance tooling (Android Studio profilers, Perfetto, Systrace), • Shipped code across hundreds of device models and over 1m monthly SDK sessions with proven strategies to handle device quirks, • Hands-on experience with monitoring tools (Crashlytics/Sentry/Datadog or similar) and adding the right events to enable root-cause analysis (crashes, ANRs, latency), • Experience delivering SDKs via GitHub Actions/GitLab CI with Gradle/Maven, semantic versioning and signed artefacts, maintaining clean migrations and changelogs, • Utilise test-driven development in practice – writing unit and instrumentation tests and standing up integration harnesses around threading/IO, • Networking/auth/API fundamentals tuned for mobile constraints, • Based in the UK (London preferred) and able to work from our London office at least 1 day per week on an ongoing basis Bonus Points • Built or maintained Android SDKs used by external developers (versioning, migrations, deprecations), • Familiarity with common Computer Vision pipelines and ML Ops basics for mobile development, • Practical experience integrating or optimising TFLite/LiteRT for real-time use, • Able to work from our London office 3 days per week during the first 3 months to speed up pairing and knowledge transfer

AI Engineer [Analyst] – Early Career Role About the Job As an early‑career AI Engineer at Cerberus, you’ll join a small, high‑impact team building AI systems that power decision‑making across a global investment platform. You’ll work alongside experienced AI engineers, data scientists, and technologists to deliver real products used by investment teams and portfolio companies. This role is ideal for: • PhD graduates in a STEM field with applied ML, optimization, or computational experience; or What You’ll Do Build and deliver ML systems Work with senior engineers to design, train, and deploy machine learning models and data-driven tools that support investment and operational decision-making. Contribute to real production deployments Help integrate ML models into business workflows, build data pipelines, and support the rollout of AI applications across teams. Experiment and iterate Prototype ideas, test assumptions, and rapidly evolve solutions based on real user feedback and real-world constraints. Learn modern tooling and practices Gain hands-on experience with ML frameworks, cloud infrastructure, MLOps tools, and best practices for building scalable AI systems. Communicate clearly Translate technical findings into clear, structured insights for collaborators across technical and business teams. Grow as an AI engineer Develop skills across the full ML lifecycle—data processing, modelling, evaluation, deployment, and ongoing improvement. Sample Projects You Might Work On GenAI for due diligence Support the configuration, extension, and rollout of our in-house GenAI platform across investment teams. Work with senior engineers to customise workflows, analyse model outputs, and drive adoption. Automated Deal Sourcing Tools Help build prototypes that extract signals from datasets and integrate with APIs to enrich leads. Support the creation of modular ML-driven components that can be used across investment strategies. (Both examples are reframed so junior team members contribute meaningfully but are not expected to independently lead full workstreams.) Your Experience We don’t expect candidates to have experience across all areas—what matters most is strong technical fundamentals, curiosity, and a willingness to learn quickly. Foundational skills • Degree in a STEM field., • PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas., • Experience writing clean, maintainable Python code., • Applied AI experience such as exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) and experience with small personal or internship projects building agents or AI-driven workflows., • Comfortable working with data, performing analysis, and writing SQL queries., • Familiarity with tools like MLflow, Weights & Biases, or cloud platforms (Azure, AWS, or GCP)., • Strong problem-solving skills, • Curiosity and eagerness to learn, • Pragmatic, impact-driven approach, • Ability to work collaboratively in a fast-paced environment About Us We are a growing team of AI specialists—data scientists, ML engineers, software engineers, and technology strategists—working to transform how a global investment firm with $65B+ in assets uses data and AI. We operate like a startup within the firm: fast, collaborative, and focused on delivering real value. Our work spans investment desks, portfolio companies, and core operations, giving early-career engineers wide exposure and the opportunity to grow rapidly.

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. The Work As a Staff Engineer (Mobile), you will be working on Palisade - Ripple’s flagship wallet as a service platform enabling businesses, fintechs and banks to build digital asset treasury, payment and exchange use-cases. What you’ll do • Mobile development expertise: You have solid experience building high-quality, cross-platform applications for iOS and Android using React Native and TypeScript., • Native familiarity: While you live in JavaScript, experience with native code (Swift, Kotlin, or Objective-C) to bridge gaps or debug native modules is a significant plus., • Form handling: You have experience building complex forms and implementing robust validation logic. You know how to make data entry easy for the user while ensuring data integrity., • Store deployment: Experience managing the release lifecycle - including certificates, signing, and deploying to the Apple App Store and Google Play Store is a big plus., • Styling proficiency: You have a knack for creating polished mobile interfaces. Experience with Styled Components is a plus, but ultimately, you know how to build layouts that look and feel great on any screen size., • User-obsessed mindset: You don't just write code; you build products. You are passionate about mobile UX, gestures, and animations. Experience with Figma is a plus, helping you bridge the gap between design and engineering., • Clean code philosophy: You care deeply about the quality of your craft. You strive for simplicity, strictly adhere to DRY (Don't Repeat Yourself) principles, and write code that is readable and maintainable., • Collaborative spirit: You are a genuine team player who thrives in a collaborative environment. You communicate clearly, welcome code reviews, and enjoy solving problems with your peers., • Testing culture: You believe that code isn't complete until it's verified. Experience with mobile testing frameworks is highly valued to ensure reliability across devices., • Performance focus: You understand that a janky app is a bad UX. You keep performance in mind, optimising for smooth animations, fast launch times, and efficient memory usage., • Smart tooling usage: You leverage the right tools for the job—including AI assistants—to be efficient, but you are transparent about their use. You verify every output, ensuring that you maintain full understanding and ownership of the code you ship., • Industry interest: While not required, previous experience in Web3, blockchain, or fintech is considered a plus.What You'll Bring, • Proven track record of building and delivering backend systems from development to production, • Hands-on experience working on large-scale distributed systems, • Familiarity with event-driven micro-services, Kubernetes, and cloud-based infrastructure, • Familiarity with gRPC and protocol buffers, • Ability to work in a fast-paced start-up environment and be a core contributor to the success of the company, • A self-starter that thrives on autonomy and can see a task through from start to finish, • A positive attitude with a passion for acquiring and sharing knowledge Do Your Best Work • The opportunity to build in a fast-paced start-up environment with experienced industry leaders, • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning., • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team., • In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in., • Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team, • Competitive salary, bonuses, and equity, • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support, • Employee giving match, • R&R days so you can rest and recharge, • Generous wellness reimbursement and weekly onsite & virtual programming, • Generous vacation policy - work with your manager to take time off when you need it, • Industry-leading parental leave policies. Family planning benefits.

💡 Role Overview We’re hiring our first engineer dedicated to internal go-to-market and operations systems. This is a foundational role where you’ll design and build an AI-first internal stack from scratch, enabling Sales, Finance, Ops, and Customer Success to operate at maximum velocity. You’ll have end-to-end ownership across tooling, data, and automation; shaping not just systems, but how the company runs. In this role, you will: • Architect and implement an AI-native internal tech stack, influencing infrastructure decisions and long-term direction, • Rapidly ship internal tools and workflows, iterating directly with teammates who use them daily, • Build and maintain our data warehouse and internal data architecture, • Develop automation systems leveraging LLMs, agents, and modern AI tooling, • Help define engineering standards and culture as we scale 🔥 About You We’re looking for someone who genuinely enjoys building tools that make commercial teams faster and more effective. You likely: • Have led projects independently from idea to production, and are comfortable collaborating with multiple senior stakeholders, • Communicate clearly and can translate ambiguous business needs into structured technical solutions, • Are familiar with commercial and operational tooling such as Notion, Slack, Retool, Amplitude, Stripe (or similar ecosystems), • Sales, Finance, Ops, and Customer Success teams will rely on you to improve efficiency and introduce AI-driven workflows, • Are highly proficient in PostgreSQL and at least one major data platform (e.g., Snowflake, BigQuery, Databricks, Firebolt), • Experience with Node.js and TypeScript is a plus, • Thrive in fast-paced startup environments and feel energized by ambiguity, • Move quickly and constantly look for ways to ship faster Bonus: Experience designing or building AI-powered internal tools or automation systems. 🚀 Why Join Us • Autonomy with mentorship: You’ll be the first London-based engineer with high ownership, while receiving guidance from a senior engineering team in NYC. You’ll travel to NYC for onboarding and project collaboration., • Exceptional traction: 10× revenue growth in 2025, profitable, and trusted by leading firms including MBB, Big 4, and top-tier mega-funds., • Flat structure: Minimal layers between you and leadership. Direct access to the CTO and CEO, with meaningful responsibility from day one.

About PRODA At PRODA () we are building software to unlock the full potential of Real Estate Data no matter the asset class, language, or country of origin. Our solution leverages the latest technologies to automatically capture, standardise and quality check Real Estate data into a single, clean source of truth. The goal is to empower real estate professionals to quickly gain actionable insights from their data and to enable the effective use of software. Despite being the biggest asset class in the world, the commercial real estate industry relies on excel & PDF “Rent Roll” documents as the primary means of exchanging data. These files are frequently inconsistent, inaccurate, and inaccessible, posing challenges for real estate professionals. Through automated data capture, standardisation, and analysis, PRODA can: · Build repositories of clean, standardised data · Increase process efficiency, through faster report generation · Improve data-driven decision making, by ensuring the accuracy of input data Furthermore, PRODA easily integrates with existing systems, to ensure consistent dataflow through the whole organisation. Founded in 2017 by Charles and Peter, two former Real Estate Finance Investment professionals, PRODA is now 66 people strong, and is looking to expand rapidly following a successful Series A raise in Q2 2022. PRODA has a strong globally recognised client base with an even better sales pipeline. We are looking for you to join us on our exciting journey delivering best-in-class software to the Commercial Real Estate market globally. Role We are looking for a Software Engineer to join the team at PRODA that works on the automatic extraction, classification, standardisation and validation of financial data documents in commercial real estate. We encourage candidates of all experience levels to apply, including recent graduates and those with several years of relevant work experience. Responsibilities • Develop flows for extraction of data from financial documents in PDF and Excel formats., • Work with a generalised data model, and a process to convert extracted data into that using standardisation and validation steps., • Drive the development of automation with a focus on enhancing speed, accuracy, and applicability., • Stay abreast with emerging technologies and industry trends in financial data reporting and requirements of clients., • Clearly and concisely communicate findings and recommendations to both technical and non-technical stakeholders. Required Skills & Qualifications • Bachelor’s degree in computer science, mathematics, physics or another relevant STEM discipline., • Proven experience in solving complex problems, ideally in data extraction and modelling., • Comfortable solving problems at every level, from algorithms and data structures to system design., • Expertise in Python., • Experience of full-stack development., • Ability to work independently as well as part of a collaborative team., • Strong project management skills with the ability to meet deadlines. Preferred Skills & Qualifications • Experience with TypeScript and React., • Experience with cloud platforms. What We Offer • Opportunity to learn and grow in a fast-paced, cutting-edge environment., • Access to the latest technology and tools to make you productive, including the latest MacBooks, along with AI tooling., • A supportive environment with a focus on professional development and growth., • A culture that values simplicity and efficiency in solving problems and delivering solutions. Working at PRODA As a rapidly growing SaaS business, life at PRODA is fast-paced and collaborative. Our day-to-day work is solving interesting problems using smart technologies, and we pride ourselves on an environment where we can rapidly develop new skills, learn from each other, and truly see the impact of our work. We believe that our product is transformative, and we work hard to ensure it reaches its potential. Our team is our greatest asset: we are a close-knit group who pull together to achieve our goals, but we also have fun! Further to a strong team environment, working at PRODA offers the following amenities: • Flexible Hybrid working options, • Stock Options in the Business, • 25 days base holiday, • Full zero-excess Private Health & Dental Insurance, Includes Couple and Family plans, • Generous Pension Schemes, • Opportunities for Professional Development + Learning Sessions PRODA treats people fairly. We are an equal opportunities employer and view all applications equally, regardless of gender, colour, ethnic background, religion, disability, age, sexual orientation, gender reassignment or marital/family status.

Junior (2-5yoe) Platform Engineer - London As a Junior Platform Engineer, you will: • Act as infrastructure SME for a 24x7x365 globally distributed ethical web scraping function, supporting a multi region high frequency crypto trading operation, • Be able to proactively analyze, drive, and own, performance and process improvements along all parts of the chain, • Collaborate closely with development team in terms of architecture/prioritization, • Liaise closely and collaboratively with central infrastructure team, in terms of common infrastructure/improving standards across the estate, • Work effectively in a global multi-cloud set up, in terms of initiating/managing relationships, evaluation/onboarding of new providers, and improving internal processes in line with best-of-breed industry practices, • Be a Linux/network stack expert and utilise that knowledge in the context of tuning/optimization and production support, • Bachelor's degree in Computer Science, Software Engineering or a STEM subject from a recognised university, • Minimum 2 years of solid working experience in an infrastructure, DevOps, or Platform engineer role, • Production experience in a global cloud environment. Demonstrable AWS and strong networking experience in a multi-region and/or multi-cloud set up is essential., • Demonstrable basic development or scripting experience in one or more of the following languages: Bash, Python, Java, C#, Rust, Excel VBA, • Good Linux / network stack knowledge, as well as optimization/tuning Nice to have: • Containerization (Docker / Kubernetes) in a production environment, • Monitoring tools in a production environment (Prometheus / Grafana / ELK stack / Splunk), • IaC tooling (Terraform, Ansible etc)

Data Visualisation Engineer | JavaScript | TypeScript | 2D Graphics | London London | to £160,000 | Hybrid Work Great charts don’t just show data. They tell a story. Looking to hire a Data Visualisation Engineer to help shape how developers around the world tell visual stories with data. You’ll join a highly respected, product-led engineering team building a modern, open-source JavaScript charting library used at serious scale, from complex enterprise systems to high-stakes decision-making tools. Your mission: • Raise the visual bar., • Turn data into stories developers are proud to ship. This sits right at the intersection of data visualisation, design judgement, and engineering craft. What you’ll be doing • Designing beautiful, meaningful chart examples that demonstrate how data should feel when it’s well presented, • Elevating the visual quality and storytelling across documentation, demos, and the website, • Defining and championing best-practice visualisation patterns — clarity first, always, • Helping developers understand why a chart works, not just how to configure it, • Contributing to blogs, tutorials, and visual content that teach strong visual thinking, • Optionally contributing to the core charting engine if you enjoy going deeper technically What we’re looking for • A strong portfolio that shows visual storytelling, not just charts-for-the-sake-of-it, • Deep understanding of data visualisation principles (hierarchy, scale, colour, perception), • Excellent visual taste and obsessive attention to detail, • Strong JavaScript and/or TypeScript, • Experience with charting or data visualisation libraries, • The ability to clearly explain visual decisions — to engineers and non-engineers alike Nice to have • Experience with Canvas or SVG, • Interest in computer graphics, • Comfort working close to engineers on real production systems Why people enjoy this team • You’re not styling dashboards — you’re shaping a foundational visual product, • Your work influences how thousands of developers present data, • High-quality, long-lived codebase with strong engineering values, • Calm, grown-up culture — no heroics, no late nights, • Hybrid working, modern tooling, and real respect for craft If this role interests you, please apply with your CV and links to your product portfolio. I look forward to speaking with you!

AWS Technical Architect Location: Remote (UK-based) Contract: 12-month FTC, with a view to permanent Security Clearance: Active SC required, transferrable Amber Labs is looking for an experienced AWS Technical Architect to join us on a long-term engagement delivering secure, cloud-native solutions for a major UK government programme. This is a hands-on architecture role, suited to someone who enjoys setting technical direction, building robust platforms, and supporting teams to deliver at pace in high-assurance environments. You’ll be responsible for designing and implementing scalable AWS architectures, establishing strong cloud foundations, and guiding engineering teams on best practice. The work is fully remote, but you must be UK-based with active SC clearance. What you’ll be doing • Designing enterprise-grade AWS cloud architectures aligned to business and technical needs, • Leading the implementation of AWS Control Tower and Landing Zone Accelerator in multi-account environments, • Building and maintaining infrastructure using Terraform, • Designing and deploying Kubernetes platforms using Amazon EKS, • Defining cloud governance, security standards and compliance controls, • Working closely with delivery teams to optimise cloud-native application design, • Providing technical leadership, guidance and mentoring to engineers, • Shaping disaster recovery and business continuity approaches for critical systems, • Assessing and recommending new AWS services and improvements as platforms evolve What we’re looking for Essential • Strong, hands-on experience as an AWS Technical Architect, • Deep knowledge of AWS services including EC2, S3, VPC, IAM, Lambda, RDS, CloudFormation and CloudWatch, • Proven experience implementing AWS Control Tower and Landing Zone Accelerator, • Expert-level Terraform experience in production environments, • Solid Kubernetes experience, ideally with Amazon EKS, • Strong understanding of cloud security, identity, encryption and compliance, • Experience designing large-scale, cloud-native or microservices-based systems, • Active SC clearance Desirable • AWS Solutions Architect – Professional (required for the role), • AWS DevOps Engineer – Professional, • CKA or CKAD, • HashiCorp Terraform certification, • Experience with CI/CD tooling such as AWS CodePipeline, Jenkins or GitLab, • Monitoring and observability using tools such as CloudWatch, Prometheus or Grafana, • Familiarity with the AWS Well-Architected Framework, • FinOps and cloud cost optimisation experience, • GitOps approaches using tools like ArgoCD or Flux, • Strong scripting skills in Python or Bash Why Amber Labs Amber Labs is a fast-growing data and digital consultancy working on meaningful, high-impact public sector programmes. We offer genuinely flexible working, challenging technical problems, and the opportunity to move into a permanent role if that’s what you’re looking for. If you’re an AWS architect who enjoys building secure, well-governed platforms and wants long-term stability with room to grow, we’d love to hear from you.

Do you want to build AI agents that directly automate real-world claims decisions? Have you experimented with LLMs beyond notebooks and shipped them into live products? Are you ready to shape AI transformation inside a tech-driven insurer investing heavily in generative AI? A leading UK insuretech (200–300 employees) is entering a major AI transformation phase following recent refinancing and dedicated AI investment. The business operates with a strong engineering mindset and is building a new AI function from the ground up. The vision is ambitious: fully agentic AI across the claims lifecycle. Early products are already live, including an internal AI productivity agent. This AI Research Engineer role focuses on applied experimentation and fast iteration. You’ll prototype, evaluate and shape AI-first products, particularly LLM-powered agents, without being solely responsible for long-term platform ownership. Key Responsibilities • Rapidly prototype and benchmark LLMs, embeddings, and RAG pipelines, • Build AI agents automating claims logging through settlement, • Develop and refine evaluation frameworks (accuracy, completeness, cost, latency), • Running on GCP (Vertex AI, Cloud Run, BigQuery), • Collaborate with Claims Operations to demonstrate measurable business impact, • Extend internal AI tooling and agent capabilities Key Details • Salary: £60k-£75k, • Working model: Hybrid – 1-2 days per week in office (South West London, 20 minutes from Waterloo Station), • Tech stack: Python, GCP (Vertex AI, Model Garden, BigQuery, Cloud Run), LLMs (OpenAI, Gemini, Claude, Llama), vector databases, RAG, Docker, CI/CD, • Sponsorship: Not currently available Interested? Please apply below.

Do you want to be a leading engineer who scopes and delivers major GenAI projects at a major brand Have you built GenAI systems in production where quality, cost and reliability actually matter? Are you ready to join a new AI function early and set the standard for how AI is shipped in a global consumer business? A global fitness and wellness brand is building a new Group AI function with strong senior backing and a clear mandate: deliver GenAI solutions that move the needle across both customer experience and operational performance. This Lead AI Engineer will operate as an independent, initiative-driven IC - spotting opportunities, shaping the roadmap with stakeholders, and shipping production-grade AI systems that prove value quickly. You’ll work across GenAI and applied ML. Typical initiatives include LLM-powered personalisation/agent workflows, and optimisation/forecasting solutions across physical sites (maintenance processes, utilities spend, and member experience at scale). Role summary This is a Lead IC role for someone who thrives on autonomy. You’ll take loosely-defined problems, structure them into deliverable projects, align stakeholders, and build robust systems that run reliably in production. There’s no requirement to manage people — but you’ll lead through ownership, standards, and execution. Key responsibilities • Independently identify high-value AI opportunities and propose delivery plans, • Scope projects: define objectives, success metrics, risks, and dependencies, • Build and deploy end-to-end AI solutions (from brief to monitored production services), • Own GenAI delivery: RAG, orchestration/agent workflows, evaluation, guardrails, • Build APIs/services integrating data sources, models, and downstream consumers, • Drive engineering quality: observability, latency, reliability, security, cost control, • Partner with senior stakeholders to prioritise and deliver measurable outcomes What they’re looking for • 6+ years’ experience delivering production AI/ML systems, • Strong Python and SQL, • Proven hands-on GenAI experience (LLMs/RAG; LangChain/LlamaIndex/LangGraph-style tooling preferred), • A track record of autonomous ownership - running projects with minimal supervision, • Strong stakeholder engagement: can influence and communicate with non-technical leaders, • Comfortable working in an entrepreneurial, “build first” environment, • MLOps/CI/CD exposure (monitoring, deployment patterns, model lifecycle) Key details • Central London, • Hybrid: 2–3 days/week in office, • Salary: £120,000–£140,000 base, • Stack: Python, SQL, Databricks, Azure, • Sponsorship: Not available Interested? Please apply below.

Engineering Manager | AI-Driven FinTech | London Hybrid | Up to £150k I’m working with a cutting-edge, AI-driven data intelligence FinTech that’s looking to hire an Engineering Manager who loves managing, coaching and growing teams, while remaining hands on and leading from the front. You’ll be responsible for leading a cross functional engineering squad of 4-9 engineers (frontend, backend, full-stack & mobile), reporting directly into the VP of Engineering, and playing a key role in scaling the platform and shaping technical direction. What you’ll be doing: • Leading, mentoring and developing a high-performing engineering team, • Remaining hands-on with coding, architecture and system design, • Driving technical direction and best engineering practices, • Partnering closely with Product and Data teams to deliver impactful features, • Helping scale a modern, AI-powered platform Tech Stack: Python, TypeScript, AWS (experience with modern stacks & AI tooling is important) What they’re looking for: • Engineer at heart, comfortable deep in code and architecture, • Proven people management / line management experience, • Strong background in modern cloud-based engineering environments, • Experience building and scaling high-quality software systems Location: Hybrid- London (1-2 days per week)

• Job Title: Agentic AI Software Engineer, • Salary: Competitive salary and package (Depending on level of experience), • Locations: (must be willing to travel to client sites throughout the UK on an ad hoc basis), • Salary: Competitive salary and package (Depending on level of experience) Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO As a team: • A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our teams embed deeply with customers, orchestrating people, tools, and processes to move projects beyond experimentation into operational reality., • As a AI Native Engineer:, • You will bring 2 years of experience building cloud‑native solutions and orchestrating cross‑functional initiatives., • You combine hands‑on engineering depth with the creativity and product intuition needed to shape solutions that work for real users and enterprises., • You’re as comfortable writing production code as you are whiteboarding system designs, facilitating client workshops, or mapping out product roadmaps., • You thrive in ambiguity and act as a bridge between vision and execution. Responsibilities: • Product Orchestration: Partner with business and technical stakeholders to frame problems, align priorities, and translate needs into orchestrated AI workflows., • Agent Architecture & Engineering: Design and engineer enterprise-ready AI agents — including retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability., • Creative Problem Solving: Prototype novel solutions that blend technical rigor with human-centered product thinking., • AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and enablement., • Cloud-Native Product & Software Engineering: Apply containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to create and integrate scalable AI-native systems., • Domain-Specific Workflows: Tailor and deploy agentic applications across industry verticals (e.g. finance, healthcare, retail) — addressing domain-specific processes via intelligent automation., • Storytelling & Communication: Lead design workshops, POCs, and code-with sessions; communicate technical tradeoffs and solution impact clearly to both executives and engineers., • Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness, • Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps. Job Qualifications We are looking for experience in the following skills: • Minimum 2 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless)., • Deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments., • Strong experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines., • Strong programming experience in Python, Java, C# or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability., • Experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging., • Excellent client communication and collaboration skills — able to orchestrate across stakeholders, run design workshops, and deliver under ambiguity., • A creative, product-oriented mindset — you don’t just code solutions, you design experiences that stick., • Bachelor’s degree in Computer Science, Engineering, or equivalent; additional AI certifications or agentic tool experience is a plus. Bonus Points If: • You’ve served as a Product Engineer, Solutions Architect, or Agentic AI Engineer in an enterprise environment., • You’ve defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures., • You master the AI-native paradigm — blending cloud-native with generative model architectures — optimizing for performance, modularity, and efficiency., • You’ve delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs., • You’ve demonstrated creative solutioning (e.g., hackathons, product incubation, startup experience). What’s in it for you • At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 30 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice!, • Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for.

Senior Analytics Engineer Location: London based | Hybrid 2 days per week in the office Type: Permanent, full time The Opportunity A leading international media and audio business is hiring a Senior Analytics Engineer to join a central Data & Decision Sciences function operating across multiple European markets. This team sits at the heart of the organisation and partners closely with senior stakeholders to drive data led decision making across audience, commercial, and operational domains. Data is treated as a strategic asset, not a support function. The Role As a Senior Analytics Engineer, you will be responsible for transforming raw data into well modelled, business ready data marts and semantic layers. You will take ownership of dimensional modelling, dbt transformations, and core metrics that power BI tools used across the business. This role blends hands on technical delivery with technical leadership and line management, managing 2 to 3 Analytics Engineers while working closely with senior data leaders and stakeholders on multi market initiatives. Key Responsibilities • Design and own dimensional data models using Kimball methodology, • Build and maintain dbt pipelines from raw to gold layer marts, • Define and enforce modelling, testing, and documentation standards, • Own elements of the semantic layer and core business metrics, • Translate technical schemas into clear, business friendly concepts, • Lead migration of workloads into Snowflake and dbt, • Refactor legacy logic and optimise models for performance, • Champion documentation first practices and data quality standards, • Improve observability using dbt tests, data quality tooling, and internal monitoring, • Line manage and mentor 2 to 3 Analytics Engineers, • Partner with senior stakeholders to shape data strategy and delivery, • Engage with international markets to understand requirements and align delivery What We’re Looking For • Strong SQL with hands on Snowflake experience, • Proven dbt experience at scale, • Strong dimensional modelling using Kimball principles, • Python for data engineering tasks, • Experience with Airflow or similar orchestration tools, • Git based workflows, • Familiarity with BI tools such as Tableau, Looker, or Power BI, • Experience working in cloud environments including AWS or GCP, • Experience leading engineers and large scale data projects, • Clear communicator with strong ownership mindset Nice to have • Data quality tooling such as Great Expectations, • Semantic layer tooling, • Terraform, • Media or advertising background Why Apply • High impact role in a data driven organisation, • Exposure to international, multi market datasets, • Combination of technical leadership and hands on engineering, • Strong investment in learning and development, • Flexible hybrid working model

Hey! We're team Granola 👋 If you haven't already, you should check out what we're building, and why you should work here. We're looking for a Customer Experience Engineer to join our team and help us maintain our high bar for technical support as we scale. This is a role for someone who gets genuinely excited about solving complex technical problems, digging into logs, and being the bridge between our users and our engineering team. You'll be taking technical escalations from our Customer Experience Specialists and going deep into the issues our users face. This means reading Cloudwatch logs, writing SQL queries to investigate data issues, making small code fixes using Cursor, and jumping on calls to troubleshoot alongside customers in real-time. We're forward-thinking about customer support at Granola. We're highly technical, highly empowered, and we believe in giving our CX team the tools to work directly with the codebase. We use Cursor extensively, we're not afraid of making our own fixes, and we work incredibly closely with our product engineers. We need someone who can help us keep pushing this boundary and bring proper Customer Support Engineering experience to the team. In this role, you will: • Own technical escalations from our Customer Experience Specialists, becoming the go-to person for complex technical issues, • Troubleshoot and investigate deeply using Cloudwatch logs, console logs, database queries, Amplitude analytics, and Retool dashboards, • Make small code changes and fixes using Cursor and AI-assisted coding tools to resolve customer issues directly, • Reply directly to customers, even jumping on calls to troubleshoot issues face-to-face, guiding them through solutions and gathering detailed context, • Collaborate closely with product engineers to identify, document, and escalate bugs, providing detailed technical context, • Identify patterns and root causes in technical issues, driving improvements to product stability and customer experience, • Build and maintain internal tools and processes to make technical support more efficient, • Document solutions and create technical resources to help the wider team resolve similar issues in the future Your background looks something like: • Proven Customer Support Engineer experience (or similar role like Technical Support Engineer, Solutions Engineer) with 3+ years in a technical support capacity, • Strong technical troubleshooting skills with experience reading logs, debugging issues, and performing root cause analysis, • Hands-on experience with:, • SQL and database queries for investigation, • Cloud platforms (AWS experience is a plus), • Log analysis tools (Cloudwatch or similar), • Customer support platforms (experience with Plane, Zendesk, Intercom, or similar), • Basic coding/scripting (comfortable making small changes to codebases), • Comfortable with modern AI-assisted coding tools like Cursor, GitHub Copilot, or similar (or excited to learn) As a person, you... • Are relentlessly curious and won't rest until you get to the bottom of why something happened, • Love the details and get satisfaction from understanding the root cause of issues, not just applying band-aid fixes, • Thrive in a fast-paced environment where no two days are the same and priorities can shift quickly, • Are excited to work in-person from our office in London (five days a week), • Enjoy a bit of "vibe coding" on the side—you're the type who might tinker with personal projects or enjoy solving technical puzzles, • Are a natural problem-solver who sees technical challenges as opportunities rather than obstacles, • Communicate clearly with both technical and non-technical audiences, translating complex issues into understandable language, • Value working with people who are kind, ambitious and pragmatic, • Take ownership without waiting for perfect information or extensive direction Our tech stack: Granola runs across multiple platforms—our desktop app (Mac and Windows) is built with Electron, and we also have iOS with Android coming soon. You'll be working with: • Plain for customer support ticketing, • AWS & Cloudwatch for log analysis and troubleshooting, • SQL for database queries and investigations, • Amplitude for analytics and user behavior analysis, • Retool for internal dashboards and tooling, • Cursor for AI-assisted coding and making fixes About the Opportunity We are living in the most exciting time for tool builders since Engelbart's demo in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity. Location We are excited to work in-person from our office in London (most of the time). We have a new, bright and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us. Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.

Do you want to shape how AI transforms game development at global scale? Have you built production ML systems that go beyond research prototypes? Are you ready to lead technically without taking on line management? A tier-1 global gaming and consumer technology brand is hiring a Principal Machine Learning Engineer into its Research function in London. This team sits at the forefront of applied AI, building systems that improve how large-scale games are tested, validated, and shipped. The focus is on automating QA through intelligent gameplay agents and advanced video-based ML systems. You will lead technically, drive delivery, and mentor others while remaining hands-on across research and production. Key Responsibilities • Lead design of anomaly / defect detection systems for automated QA, • Build and optimise computer vision models on video data, • Drive applied research (e.g. self-supervised, multimodal, VLM-adjacent work) into production, • Own end-to-end ML lifecycle from experimentation to deployment, • Provide technical mentorship and delivery planning across projects, • Collaborate with engineering and research stakeholders to scale systems Key Details • Salary: £140,000–£210,000 base, • Bonus: 20%-30%, • Working model: London – 1 day per month onsite, • Tech stack: Python, PyTorch/TensorFlow, video/CV systems, production ML tooling, • Visa: Sponsorship available Interested? Please apply below.

Data Engineer – Permanent Location: London (Hybrid) Salary: £65,000–£95,000 + Benefits (DOE) Employment Type: Full-time, Permanent Overview We are seeking an experienced Data Engineer to join our growing technology and analytics function in London. This role is ideal for someone who thrives in building modern data platforms, enabling high‑quality data pipelines, and collaborating closely with Data Science, Engineering, and Product teams to deliver scalable data solutions. The successful candidate will play a key role in designing, developing, and maintaining the data infrastructure that powers analytics, reporting, automation, and AI/ML use cases across the organisation. Key Responsibilities • Design, build, and maintain scalable, secure, and reliable data pipelines (batch and streaming)., • Develop and optimise ETL/ELT workflows to ensure efficient data ingestion and transformation., • Build and maintain data models, feature stores, and data marts to support analytics and AI initiatives., • Work with cloud platforms (AWS, Azure, or GCP) to design and deploy data solutions., • Implement data quality rules, validation processes, and observability tooling., • Collaborate closely with Data Scientists, Analysts, and Software Engineers to deliver high‑impact projects., • Contribute to the evolution of the data architecture, including modernising legacy systems., • Support CI/CD, Infrastructure‑as‑Code, and best‑practice engineering standards., • Strong experience with Python and/or SQL in a production environment., • Hands-on experience with modern data engineering frameworks such as:, • Apache Spark, Databricks, • Airflow / Prefect / Dagster, • Kafka / EventHub / Kinesis, • Experience building data solutions on at least one major cloud platform (AWS, Azure, or GCP)., • Strong understanding of data warehousing concepts, dimensional modelling, and schema design., • Experience working with CI/CD pipelines and Git-based workflows., • Familiarity with Infrastructure-as-Code (Terraform, CloudFormation, ARM, etc.)., • Experience supporting Machine Learning pipelines or feature engineering., • Knowledge of containerisation (Docker, Kubernetes)., • Experience with dbt for modelling and transformation., • Background in financial services, payments, trading, or other data-rich environments., • Problem-solver with strong analytical thinking., • Comfortable working in cross-functional teams., • Proactive, curious, and able to work with autonomy., • Competitive salary + bonus, • Pension & healthcare, • Learning & development budget, • Hybrid working (typically 2–3 days in the London office), • Opportunities to work on high‑impact data and AI projects

Who We Are: IMG is a leading global sports marketing agency, specializing in media rights management and sales, multi-channel content production and distribution, brand partnerships, strategic consulting, digital services, and events management. It powers growth of revenues, fanbases and IP for more than 200 federations, associations, events, and teams, including the National Football League, English Premier League, International Olympic Committee, National Hockey League, Major League Soccer, ATP and WTA Tours, the AELTC (Wimbledon), Euroleague Basketball, CONMEBOL, DP World Tour, and The R&A, as well as UFC, WWE, and PBR. IMG is a subsidiary of TKO Group Holdings, Inc. (NYSE: TKO), a premium sports and entertainment company. TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world’s premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world’s premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality. This role is being hired into Cingularity a division of IMG Studios who are specialists in bespoke live video networking and production solutions. Cingularity operate at each stage of the remote production workflow, delivering quality network designs and primary distribution services to premium broadcast networks and sports rights holders globally. Please follow this link to understand more about Cingularity’s work: IMG acquired Cingularity in September 2022 to provide the expertise to guide IMG’s remote production evolution toward a hybrid model of fibre, satellite, cloud and IP. IMG is a leading global sports marketing agency, specializing in media rights management and sales, multi-channel content production and distribution, brand partnerships, strategic consulting, digital services, and events management. Working Conditions: Permanent, London, Spitalfields, London, United Kingdom Hybrid Mon-Fri, 9am-5pm What You'll Do: The Senior Network Engineer (NetOps) at Cingularity is a pivotal role demanding technical expertise and innovative thinking. As a core member of our engineering team, you will be responsible for designing, building, and maintaining the complex infrastructure that powers our mission-critical transmission systems. This position is designed for an engineer who can bridge the gap between traditional networking methodologies and modern NetOps practices. You will take ownership of our core networking infrastructure—including a specialised DTM (Dynamic Synchronous Transfer Mode) network—while strategically introducing automation to enhance resilience and performance. While you will assist with the development of observability tools, 24/7 monitoring is managed by our Technical Operations Centre (TOC), supported by a joint effort between Systems, Broadcast, and Network Engineering teams. Global Telemetry & Network Management • Core Routing & Switching: Design and operate distributed systems with an advanced understanding of OSPF and BGP., • Multicast Routing: Maintain a solid understanding of Multicast routing to ensure efficient data delivery across broadcast environments., • DTM Specialisation: Take primary responsibility for the management and optimisation of the DTM network, ensuring it meets the rigorous demands of live broadcast., • Global Telemetry: Manage and refine a global telemetry network to ensure consistent data flow and visibility across all international transmission points., • Capacity Planning: Manage network capacity and advise on hardware/bandwidth upgrades triggered by business growth and specific customer projects., • Infrastructure Security: Take ownership of network security, implementing best practices for access control and protection across the entire ecosystem., • Firmware & Lifecycle Management: Manage and execute regular firmware upgrades, patching, and maintenance across all network hardware to ensure stability and mitigate vulnerabilities., • Internal Tooling: Build and refine monitoring techniques where the primary "customers" are our internal TOC and Event Engineering teams., • Observability Design: Utilise and assist in the development of modern monitoring and logging systems (e.g., Prometheus, Grafana, ELK/OpenSearch) and the Netbox source of truth., • Automation Development: Implement automation strategies for infrastructure management using tools such as Ansible, Python, and shell scripting., • Level 3 Troubleshooting: Proactively monitor performance and serve as a level 3 escalation point for complex networking issues, • Team Guidance: Mentor and collaborate with technology teams on engineering projects and the resolution of high-level technical issues., • Training: Assist engineers in learning networking concepts and the specific architecture of the Cingularity network., • Project Delivery: Lead technical network projects from concept to deployment, meeting schedules and budget constraints. You Have These: Required • Networking Expertise: Advanced knowledge of the TCP/IP Stack, including switching and routing protocols (OSPF, BGP)., • Network Security: Proven experience in securing network infrastructure and managing hardware firmware lifecycles., • Multicast Routing: Practical experience with Multicast protocols in a production environment., • Automation: Demonstrable experience using Python and Ansible for automation, scripting, and integration., • IPAM/DCIM: Experience using Netbox for infrastructure documentation and management., • Monitoring: Practical experience with modern observability tools like Grafana, ELK, and InfluxDB. Advantageous • Advanced Broadcast Standards: Knowledge of SMPTE ST 2110 networks and related timing/synchronisation requirements., • Legacy & Specialised Transport: Direct experience with DTM (Dynamic Synchronous Transfer Mode) or ATM technologies., • Version Control: Experience using GitHub for managing automation scripts and configuration., • Broadcast Protocols: Understanding of real-time transport protocols (RTP, UDP, SRT, Zixi) and video encoding (AVC, HEVC, JPEG-XS)., • Project Management: Experience with tools such as ClickUp, Monday.com, or Jira. Soft Skills • Communication: The ability to clearly articulate complex technical concepts to both technical and non-technical stakeholders., • Focus Under Pressure: The ability to remain focused under pressure and maintain the highest standards of accuracy in a live environment., • Proactive Mindset: An organised and self-motivated individual who proactively seeks innovative solutions. TKO EEO Statement: TKO is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws regarding non-discrimination in employment. TKO makes employment decisions based on merit and qualifications, without considering an employee’s or applicant’s race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, veteran status, or any other basis prohibited under federal, state or local laws governing non-discrimination in employment in every location in which the Company has facilities. TKO also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and applicable state or local laws. For information about Privacy and Information Security for TKO employment candidates, please review our Privacy Policy. For information regarding Terms of Use for this and other TKO websites, please review our Terms of Use.

Engineering Lead / Manager (Mobile – React Native) 📍 Vauxhall, London | 3 days onsite 💰 Up to £130,000 + equity A well-funded London consumer platform in the on-demand retail space is investing heavily in its permanent mobile capability. The app sits at the centre of the entire customer journey, from ordering and real-time inventory through to fulfilment and operational tooling. After a rapid growth phase, the focus is now sustainable scale: stronger engineering standards, better ownership and long-term architectural foundations. The opportunity They are hiring an Engineering Manager alongside two Senior React Native Engineers to properly stabilise and scale the mobile function. In order to hire the Senior React Native Engineers they would like to hire the Engineering Manager first so you can be part of that process. You will: • Transition the mobile team away from contractor dependency to a high-ownership in-house model, • Hire, mentor and develop React Native engineers, • Raise engineering standards across testing, architecture and delivery, • Partner closely with product and design on roadmap and prioritisation, • Improve technical decision-making and clarity of trade-offs, • Build scalable mobile foundations for a high-traffic consumer app This is a hands-on, delivery-focused leadership role. Mobile performance directly impacts revenue and operational efficiency, so quality and pace both matter. What they’re looking for • Strong production experience with React Native, • Experience shipping and maintaining consumer-facing apps at scale, • Clear ownership mindset with the ability to explain technical trade-offs, • Comfortable operating in fast-moving, product-led environments, • Experience improving engineering standards and delivery processes, • Technically credible leadership Interview process • 30-minute discussion with Director of Engineering, • 45-minute technical deep dive (mobile architecture & delivery approach), • 2-hour final in-office interview loop They are looking to move quickly and can typically reach offer stage within a week for strong candidates. If you’re a Lead React Native Engineer ready for broader ownership, or an existing Engineering Manager who still enjoys staying close to the technical detail, this is a high-impact role in a product-driven environment.

Security Engineer required for global insurance firm. The role is focused on design and delivery of Zero Trust security architecture across our environment. This is a hands-on role focused on implementing modern, identity-led security controls at scale. What you'll do • Design and implement Zero Trust controls across identity, devices, networks, applications, and data, • Work with cloud, infrastructure, and application teams to embed security by design, • Deliver controls such as strong identity, conditional access, segmentation, and continuous verification, • Help migrate Legacy access models to Zero Trust patterns, • Contribute to security standards, reference architectures, and tooling decisions What we're looking for • Experience in a technical Security Engineering role, • Strong understanding of Zero Trust principles, • Hands-on experience with IAM, endpoint security, network security, and/or cloud security, • Ability to collaborate across teams and communicate clearly

Senior Java Engineer – Reactive (Spring WebFlux) London – Hybrid (1 day per week onsite) Are you a senior, hands-on Engineer who thrives in event-driven, asynchronous environments? Do you enjoy building low-latency, high-throughput distributed systems where correctness, resilience, and performance really matter? This is an opportunity to work at the core of real-time payments infrastructure, helping to power instant transactions for some of the world’s largest banks. We’re hiring on behalf of a leading payments consultancy delivering mission-critical, event-driven platforms that integrate deeply with bank infrastructure to enable secure, real-time payments at global scale. What You’ll Be Doing You’ll play a senior individual-contributor role within a high-performing engineering team, building asynchronous, message-driven systems designed for scale, resilience, and near-zero downtime. • Design and implement high-throughput, low-latency systems processing millions of real-time payment events, • Build event-driven architectures using modern Java and reactive frameworks, • Work extensively with non-blocking I/O, asynchronous flows, back-pressure, and concurrency, • Contribute to system and API design, focusing on scalability, fault tolerance, and observability, • Collaborate closely with architects, engineers, and client teams across Europe, • Operate in Agile environments (Scrum / Kanban) with a strong engineering culture Tech Stack (current & evolving): Java 17+, Spring WebFlux, Akka, Kafka, reactive streams, distributed messaging, cloud-native tooling What You Bring We’re looking for engineers who enjoy thinking in events, streams, and asynchronous workflows, and who take pride in building systems that perform under pressure. • Strong hands-on experience with Java 11+ (ideally Java 17) in production environments, • Deep understanding of asynchronous and reactive programming models, • Proven experience with event-driven architectures and real-time messaging (Kafka, JMS, Akka, etc.), • Solid grasp of distributed systems concepts: concurrency, idempotency, fault tolerance, and resilience, • Experience building and testing production-grade systems using TDD/BDD and CI/CD pipelines, • Comfortable working on complex, long-lived systems where performance and reliability are critical Bonus (not essential): Experience in banking, payments, or financial systems, or if you’ve built real-time platforms at scale. What’s In It for You • £100,000 – £115,000 base salary (DOE), • 20% annual bonus, • Work on event-driven, real-time systems with global impact, • Hybrid working – 1 day a week onsite (more if you prefer), • Exposure to major international banks and payment networks, • A product-led, engineering-first environment where technical decisions matter

💻 We’re Hiring: Senior Software Engineer – Systems Improvement & Scale 🏢 Company: Car Planet 📍 Location: Enfield 🕘 Full-Time (Open to initial contract trial) Car Planet is a fast-growing car supermarket and automotive retail business building and running our own in-house platforms — including Autogrid (our core Dealer Management System), plus supporting systems like Audiofy (call intelligence) and RoutePortal (logistics & routing). We’re looking for a senior, pragmatic software engineer to inspect, stabilise, and improve live, revenue-critical systems as the business scales. You’ll work hands-on with existing production systems to improve performance, reliability, and maintainability — without disrupting day-to-day operations. 🔹 What You’ll Be Doing • Take ownership of an existing production codebase, • Identify technical debt, performance bottlenecks, and architectural risks, • Improve system stability, scalability, and maintainability incrementally, • Safely refactor critical areas without disrupting live operations, • Work across multiple internal systems:, • Primary ownership: Autogrid, • Secondary oversight: Audiofy & RoutePortal, • Review code and raise engineering standards, • Partner closely with the CEO, product, and operations teams, • Turn business problems into practical technical solutions 🔹 What We’re Looking For Essential ✔️ 5+ years professional software development experience ✔️ Proven experience working on live production systems ✔️ Full-stack JavaScript / TypeScript (Next.js, Node, APIs, databases) ✔️ Python experience (scripting, services, tooling, data processing) ✔️ Strong refactoring and system-improvement skills ✔️ Comfortable in fast-moving, imperfect environments ✔️ Able to work autonomously with strong judgement on priorities & risk Highly Desirable ⭐ C# / .NET experience ⭐ Startup or scale-up background ⭐ Technical leadership experience ⭐ Experience across multiple internal products 🔹 The Package 💰 Salary: £40,000 – £60,000 (DOE) 📝 Open to initial contract engagement before permanent hire Benefits: • 28 days annual leave (incl. Bank Holidays), • Company events, • Employee discount 🕘 Working Hours: Monday – Friday | 09:00 – 18:00 📍 On-site in Enfield 📩 Interested or know someone who fits this well? Send me a message or apply directly — we’d love to talk 👋

Developer Advocate Location: London About the Role We’re looking for a Developer Advocate / Developer Content Engineer who can show developers what’s possible with Artemis. Someone who can build examples, explain real workflows, and create content that resonates because it reflects how developers actually work. Your job is to help developers understand how our offerings fit into their everyday flow and why it makes their work better — in your own technical, authentic voice. You’ll collaborate closely with Engineering and Product, experiment with new capabilities, create demos and walkthroughs, and engage publicly across developer communities If you’re a builder who loves teaching other developers through content, video, examples, and honest technical conversation, we’d love to hear from you. Key Responsibilities • Build engaging, production-ready demos that showcase real-world developer workflows and product capabilities., • Produce multi-format content — technical blog posts, tutorials, videos, and social media snippets — that resonates with technical audiences., • Record and edit videos (feature walkthroughs, screencasts, narrated demos) optimized for developer channels like YouTube, LinkedIn, and Twitter., • Collaborate with engineering to deeply understand features and ensure content is accurate and developer-ready., • Work with marketing to align content with launch timelines, messaging, and campaigns. Technical Skills & Experience We’re looking for someone who can combine developer credibility with content creation expertise: • Strong software development background, ideally in JavaScript/TypeScript and/or Python., • Proven experience using and extending Visual Studio Code (extensions, integrations, workflows)., • Familiarity with AI developer tools, LLM APIs, and agent frameworks (e.g., OpenAI, LangChain, Hugging Face)., • Ability to build and explain end-to-end demos using modern dev tooling and workflows (git, CI/CD, cloud platforms)., • Understanding of developer ecosystems and how to engage technical audiences through content., • Video production skills — screen recording, editing, and publishing for professional-quality results. Portfolio Requirement Applicants should have a portfolio of previously created developer content that could include: • Recorded video demos or walkthroughs., • Technical blog posts or tutorials., • Public GitHub projects or repositories tied to content pieces., • Conference talks or webinars. (not required but great to have) Deliverables • 2–3 polished demos with write-ups and recordings., • 3–4 developer-focused blog posts or tutorials highlighting use cases, integrations, and tips., • 2–3 short launch videos (2–5 minutes each)., • Updates or additions to developer documentation for launch readiness.

Technical Lead | Engineering Lead | FitTech (Fitness Technology) UK | Fully Remote (occasional in-person collaboration) Permanent | Long-term programme Recann is working with a technology consultancy that has been awarded a multi-year digital transformation programme for a leading UK gym chain. The programme focuses on building a new, greenfield mobile platform to support member experience at national scale. They are seeking an experienced Technical Lead to take ownership of the platform from an early stage and lead delivery alongside a small, senior engineering team. The role You will act as the Technical Lead, working closely with the client’s senior technology stakeholders and an offshore senior engineer. The initial team is deliberately small and senior, with further growth planned. This is a hands-on leadership role requiring strong technical judgement, pace, and ownership. Key responsibilities • Lead the design and delivery of a greenfield application for member experience, • Own backend architecture with a focus on security, performance, and scalability, • Build an abstraction layer over a legacy member CRM, owning data rather than relying solely on APIs, • Drive product and technical requirements with senior client stakeholders, • Lead stand-ups and day-to-day delivery for a two-person team initially, • Make independent implementation decisions while collaborating on major architectural choices, • Support recruitment as the team grows to 3–4 senior engineers, • Champion modern engineering practices, including CI/CD, code quality, and GenAI-assisted development Technology environment • TypeScript, • FastAPI, • AWS, • React Native, • CI/CD pipelines, • Sonar Cloud, • GitHub and modern development tooling, • GenAI tools such as Cursor About you • Proven experience as a Tech Lead or senior engineer operating at lead level, • Strong backend focus with experience in complex, secure, high-performance systems, • Comfortable working directly with client technology leadership, • Experience leading small, senior teams and driving momentum, • Strong ownership mindset and ability to operate autonomously, • Positive, energetic, and delivery-focused approach, • Open to long-term programme work rather than short project cycles Working pattern and commitment • Fully remote within the UK, • Occasional in-person meetings. Typically every six months, • Long-term programme with a 5–10 year roadmap Recruitment process • Initial screening with Recann, • Technical coding challenge, • One-hour interview:, • 15 minutes. Coding challenge discussion, • 30 minutes. Background and experience review How to apply This role is being managed by Recann, the appointed recruitment partner. All applications will be handled confidentially.

Are you ready to make your mark in the world of elite global sport? We are passionate about delivering one of the world’s greatest sports and entertainment spectacles, leaving a positive legacy wherever we operate. Innovation has always been at the heart of what we do. Decades on, the sport remains a pioneer, developing technologies that have made a significant impact beyond the track. Everything you see on screen or at a live event is made possible by our passionate and dedicated people. Whether it’s engineering, broadcast, legal, logistics, security, event management, commercial, media rights, marketing, or communications, there is always a talented team working to maximise the potential of the sport. Role Overview We are recruiting for a Data Engineer to join our IT team. Reporting into the Head of Customer Data Operations, this role will lead all customer data activities from requirements gathering through to delivery. Main Duties and Responsibilities Drive Engineering Excellence Lead and manage all engineering activities across internal and external teams, ensuring high productivity and quality of execution. Cloud Platform Expertise Strong expertise across cloud data products and services, including object storage, ETL tooling, distributed processing frameworks, infrastructure-as-code, and cloud data warehousing. Roadmap Prioritisation Prioritise and manage engineering activities and personnel to deliver against a defined roadmap, ensuring alignment with strategic goals as defined by the Head of Customer Data Operations. Improvement and Optimisation Continuously seek opportunities to improve processes, methodology, and data governance. Standardisation of Delivery Understand, define, and standardise the approach, activities, and artefacts required to deliver engineering initiatives, ensuring all outputs are robust, reliable, and repeatable. What Are We Looking For? Experience Essential: • At least 5 years’ experience in data engineering or a related field Not essential to be successful in the role, but you may also have: • A degree in a technology-related discipline

About Euphoric: Euphoric builds AI-first employee benefits administration software for the world’s largest and most prestigious employers. Born out of Peppy Health — a fast-growing, category-defining Series B startup — we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3–5 trillion on benefits every year. It’s their second-largest cost after payroll — yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it’s been almost completely overlooked by AI-first startups. Incumbents — including one U.S. heavyweight with $2B+ in annual revenue — are constrained by archaic tech stacks and can’t move fast enough to innovate. And this isn’t just a massive market — it’s genuine “tech for good.” Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We’re a sharp, high-velocity team with bold ambitions, obsessed with building category-defining technology and partnering with exceptional people who want their work to truly matter. We closed our seed round in October 2025 and are building from a position of strength with a long cash runway. The role: We’re looking for a Software Engineer to bring their ambition, creativity, and technical prowess to join our high-powered team to build the technology that powers the world’s first lovable, AI-native benefits platform. You’ll have real ownership, big targets, and a chance to help shape both the work you do and the company in general. We care less about traditional career paths and more about raw talent, bias for action, and how much fire you bring. What you’ll do: • Build AI-first features end-to-end: You’ll contribute to the design, deployment, and iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain., • Contribute across the tech stack: You’ll work in React (JavaScript/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work., • Live on the cutting edge of AI tooling: You’ll help push the boundary of what’s feasible with modern AI-powered software development tools (Cursor, Windsurf), keep up with the regular drumbeat of AI advances, and find new and exciting ways to build and explore new features faster., • Participate in a fast-paced iterative environment: Collaborate closely with design, product, and beyond to deliver and iterate on impressive features and prototypes at world-class pace., • Keep code clean and well-tested: Maintain clean, efficient, and tested code with clear documentation for both peers and future reference., • Review, refine, and grow: Actively participate in peer reviews, CI/CD processes, and a growth-minded engineering culture, where you continuously seek to level up your technical skills., • Be a team player: Sometimes you’ll be iterating on ML pipelines; other times you’ll be refining a frontend component or fixing a tricky bug. We need someone who’s excited about the full product journey and moving together as one. Skills & experience: • Industry Experience (2+ years): Prior experience contributing to impactful products in fast-paced or startup environments, with an understanding of both scale and quality from larger tech organisations., • Hands-On Full Stack Skills: Proficiency in React/Typescript and/or Python (RESTful APIs, data pipelines), plus comfort with deploying and maintaining services on modern cloud platforms (GCP preferred, AWS or Azure also fine)., • Applied AI/ML Skills: First-hand experience building and delivering AI/ML features to real users, and an insatiable curiosity to keep up with emerging technologies and trends, • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win, • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while learning the tradeoffs between technical debt and delivery speed What we look for: We’re a great bunch but we have some "Euph" cultural non-negotiables. To do well here you will: • Thrive in fast-paced, feedback-rich environments, • Take your work seriously, but not yourself, • Be proactive, playful, and deeply curious, • Want to build something that matters, • Be willing to “do what it takes” What you’ll get: • Salary between £90k - £110k dependent on experience, • Remote-first setup with optional shared work space pass and hubs in London (We will only consider UK or Europe based candidates, with a preference for those closer to London), • Apple devices and the best AI tooling, • Private healthcare via Vitality, • 3% employer pension contribution (min 3% employee contribution), • Meaningful early-stage share opportunities, • 25 days holiday per year, plus bank holidays, • Career rocket fuel - real growth, real ownership, real impact

Description Complexio is Foundational AI. This works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio is a joint venture between Hafnia, in partnership with Marfin Management, C Transport Maritime, Trans Sea Transport and BW Epic Kosan and Símbolo We are looking for a Senior Engineer to establish and lead our new Developer Experience team. This team’s mission is to improve engineering productivity, consistency, and satisfaction by building and maintaining the systems, processes, and tooling that underpin our Software Development Lifecycle (SDLC). You will shape how our engineers build, test, release, and monitor software, ensuring frictionless workflows while keeping ownership of business logic, test quality, and development practices firmly with the product engineering teams. This is a hands-on role with significant influence: you will design systems, implement tooling, measure productivity gaps, and drive adoption of better practices across the engineering organisation. Requirements • CI/CD Infrastructure & Tooling, • Own and operate CI/CD systems (GitHub Actions, runners, caching, artifact storage)., • Maintain stability, scalability, and cost-effectiveness of pipelines., • Build and maintain systems for our monorepo., • Ensure CI/CD observability, with metrics flowing into Datadog/Slack., • Pipeline Instrumentation & Optimisation, • Analyse pipelines for inefficiencies (e.g., flaky tests, redundant steps, lack of caching)., • Recommend and implement optimisations (parallelisation, test selection, caching strategies)., • Define benchmarks and KPIs (e.g., build times, flakiness %, cost per run)., • Measure and report on productivity gaps (e.g., time lost to flaky tests, slow builds, manual release steps)., • Onboarding & Documentation, • Maintain up-to-date documentation on SDLC processes, CI/CD, release flows, and GitHub usage., • Provide templates, playbooks, and starter kits., • Automate repetitive onboarding processes., • GitHub & SDLC Guardrails, • Own GitHub governance (branch protections, repo standards, integrations)., • Implement base SDLC guardrails (PR templates, code owners, security scans)., • Ensure compliance requirements are integrated into pipelines., • Monitoring & Incident Flow, • Set up alerts for pipeline health regressions., • Provide first-level triage to distinguish infra vs. test vs. dependency issues., • Escalate to the correct engineering team and ensure test ownership is tracked., • Release Management Support, • Build tooling for release notes, changelogs, packaging, and deployment., • Standardise release processes across services., • Enable customer-facing packaging and deployments, without owning release decisions., • Change Management & Adoption, • Identify friction in developer workflows through metrics, surveys, and incident data., • Drive adoption of DevEx improvements by partnering with engineering teams, running enablement sessions, and monitoring uptake., • Define test strategy, coverage, or quality gates (owned by engineering teams)., • Own microservice/domain documentation., • Proven experience with CI/CD platforms (e.g., GitHub Actions, GitLab CI, CircleCI)., • Strong background in SDLC practices and developer productivity tooling., • Hands-on experience with infrastructure automation (e.g., Docker, Kubernetes, IaC with Terraform, Ansible or Pulumi)., • Familiarity with observability & monitoring (Datadog, Prometheus, or similar)., • Experience managing or improving monorepo build systems., • Strong ability to measure developer productivity gaps and define KPIs., • Experience in driving adoption of change in engineering organisations., • Experience in release engineering or building developer-facing platforms., • Background in Software Engineering, SRE or infrastructure engineering, with a strong developer tooling focus., • Knowledge of compliance-driven SDLC requirements (e.g., ISO 27001, SOC2)., • Join a pioneering joint venture at the intersection of AI and industry transformation., • Work with a diverse and collaborative team of experts from various disciplines., • Opportunity for professional growth and continuous learning in a dynamic field.

Do you want to build infrastructure that enables entirely new scientific discovery? Have you scaled data systems for ML workloads where performance actually matters? Are you ready to own foundational infrastructure at global, research-grade scale? We’re working with a mission-driven AI research organisation applying advanced multimodal machine learning (audio, spatial, sensor, text, etc.) to understand animal communication. Operating at the intersection of ML research, large-scale data infrastructure, and real-world biological data, this team functions like a high-performance research lab with production-grade engineering standards. They are entering a growth phase and are scaling the core systems that power distributed AI research, large multimodal datasets, and public-facing data platforms. This is not consumer tech or ad optimisation - the infrastructure you build directly enables new scientific discovery. The role This is a Senior Infrastructure Engineer (Backend / Data Performance) position focused on designing, scaling, and hardening the data and backend platforms that support distributed ML workloads and TB–PB scale datasets. You’ll work closely with researchers and engineers to turn experimental systems into reliable, high-performance, production infrastructure. Key responsibilities • Design and optimise high-performance data pipelines for large, heterogeneous datasets, • Scale public-facing data infrastructure supporting ML research, • Optimise distributed AI workloads for latency, throughput, reliability, and GPU utilisation, • Build observability tooling for data quality, pipeline health, and experiments, • Support GPU infrastructure for large-scale model training, • Translate research prototypes into robust, production systems, • Scope and supervise work for interns, PhDs, and post-docs Key details • Salary: up to £150k (may be flexibility to £160k) (UK), • Working model: Fully remote (UK), • Tech stack: Python, Kubernetes, Docker, Terraform, GCP, GPU clusters, • Visa: No sponsorship, • Seniority: 5+ years backend / infrastructure engineering (flexible for exceptional profiles)

Machine Learning Engineer Fully Remote - UK based Up to £90,000 + Benefits About the Role We are working with a fully remote gaming and entertainment business that is scaling its data and machine-learning capabilities. With strong backing for data-driven decision-making, they are now looking for a Machine Learning Engineer to help operationalise, maintain, and optimise their ML systems across the organisation. This position is ideal for someone who is strong technically, resilient, enjoys problem-solving in ambiguous environments, and wants to work closely with both Data Scientists and Engineers. Key Responsibilities • Deploy, productionise, and monitor machine-learning models across the business., • Maintain and improve ML infrastructure to ensure high reliability, scalability, and runtime performance., • Collaborate with data scientists to ensure smooth model handover from prototype to production., • Work alongside data engineers, supporting but not owning data-engineering pipelines., • Build tooling, automation, and monitoring systems to support long-term ML lifecycle management., • Ensuring live models perform consistently in a high-volume environment., • Streamlining the deployment process and improving ML observability., • Supporting automated decision systems across game-economy and player-behaviour use cases. What We’re Looking For • Experience deploying, monitoring, and maintaining ML systems in production environments., • Strong understanding of cloud platforms (GCP preferred) and containerisation/orchestration tools., • Solid coding ability, with experience building reliable and scalable infrastructure., • Excellent problem-solving skills and comfort operating within a fast-moving environment., • No strict requirements on years of experience or academic background If this looks of interest, please apply below.

Senior Full Stack Engineer (.NET / React / Azure / AI) 📍 UK (Remote) 💰 £70,000 + Benefits The Opportunity We’re partnering with a rapidly growing AI & Cloud consultancy that is building something genuinely different in the market. This isn’t just another consultancy role. You’ll work across: • 🚀 Cutting-edge internal AI products being taken to market, • 🤝 High-impact enterprise customer projects, • 🧠 Direct collaboration with one of the most technically respected leaders in the cloud & AI space This is a hands-on engineering role for someone who wants to operate at a high technical bar, shape architecture decisions, and build modern AI-enabled platforms properly. If you care about clean design, security, performance, and using AI responsibly to accelerate engineering — you’ll thrive here. What You’ll Be Doing • Designing and building secure, scalable cloud-native applications, • Contributing to internal AI-powered products from concept to market launch, • Working closely with a deeply technical industry leader to shape architecture and engineering standards, • Building modern full-stack platforms across backend, frontend, cloud, DevOps and AI tooling, • Embedding AI-assisted workflows into real-world engineering environments, • Contributing to multi-tenant, secure SaaS architectures Technical Environment: Backend Engineering • C# (.NET / .NET Core), • ASP.NET Core APIs, • Entity Framework Core & Dapper (and knowing when to use each), • SOLID principles & clean architecture, • Asynchronous programming, concurrency & performance tuning, • TDD, unit testing & integration testing, • Code quality gates & peer review discipline, • Secure coding practices Frontend Engineering • TypeScript, • React, • Next.js, • Modern frontend patterns (hooks, state management, server/client data fetching), • Robust API integration & error handling Identity & Security Architecture • Authentication & authorisation design, • SSO flows, • OAuth2 & OpenID Connect, • JWT best practices (signing, expiry, refresh, validation), • Multi-tenant architecture (data isolation, tenant-aware auth, scaling) Cloud & Infrastructure (Azure) • Azure PaaS (App Services, Functions, Storage, Service Bus, Key Vault), • Docker & containerisation, • AKS / container orchestration fundamentals, • Azure Entra ID & managed identities, • Secure networking (VNets, private endpoints, ingress/egress patterns), • Infrastructure as Code (Terraform, Bicep or similar) DevOps & Delivery • Advanced CI/CD pipelines (Azure DevOps, GitHub Actions), • Build, test & release automation, • Secure pipeline design & secrets management, • Environment promotion strategies AI-Enabled Engineering • AI-assisted development workflows (Copilot, Claude Code or similar), • Advanced prompting for engineering tasks, • Agent-based or orchestration familiarity (Semantic Kernel, AutoGen or similar), • AI coding guardrails & validation gates, • Using AI as a force multiplier without compromising maintainability or security What Makes This Role Different • You’ll help build real AI products, not just prototypes, • You’ll operate at a genuinely high engineering bar, • You’ll work directly with one of the most technically credible names in the industry, • You’ll influence architecture, standards and best practice from day one, • You’ll join at a stage where your impact is visible and meaningful Salary & Package • 💰 £70,000, • Flexible working, • High ownership, high autonomy, • Exposure to advanced AI engineering practices

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

Multi-Agent LLM Systems Remote (MUST BE IN EUROPE) We’re partnering with a venture-backed startup led by a founder who has built and taken two technology companies to IPO, now assembling a world-class team to tackle one of the most impactful problems in applied AI. The company is developing a voice-enabled AI copilot used by professionals to eliminate the friction from documentation and decision-making, a product with genuine, real-world impact that’s already being used in production environments. They’re now looking for a Senior/Staff AI Engineer to own and evolve the core “brain” service behind this assistant, the system that powers reasoning, retrieval, and dialogue in real time. Interview Process: 1️⃣ Intro call where we talk about the role. 2️⃣ Technical discussion with the Head of AI. 3️⃣ Deep-dive session with a Backend Engineer and ML Engineer from the team. 4️⃣ 30-minute conversation with the Founder. Why This Is Worth Your Time • Real ownership: You’ll be the architect behind a core AI system, not a feature contributor., • Fast-moving environment, • Immediate impact: Your code will run in production and support real users from day one., • Technical depth: Multi-agent reasoning, voice-streaming, RAG optimisation and all in one system., • Flexible setup: Remote across the EU, with optional co-working in London or Barcelona. What you’ll do • Obsessive about latency, you think in milliseconds, optimise for concurrency, and understand the trade-offs between speed, cost, and model performance., • Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate., • Develop FastAPI-based microservices optimised for low latency and high reliability., • Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation., • Integrate real-time voice interfaces (STT/TTS, WebRTC, LiveKit) into intelligent conversational flows., • Instrument and evaluate system performance using observability and model-faithfulness metrics. What we’re looking for • Proven ability to build and ship agentic or multi-agent frameworks into production., • Expert Python, FastAPI, and asyncio developer., • Practical experience with LangChain, Autogen, or custom orchestration layers., • Startup mindset: ownership, speed, and pragmatism over perfection. Bonus points • Experience working with voice or streaming systems (STT/TTS, WebRTC, LiveKit)., • Exposure to evaluation tooling, LLM-as-judge setups, or agent benchmarking., • Background in healthtech, fintech, or other compliance-heavy sectors.

Job Spec - Backend Engineer About Beacon Beacon is building the AI Supply Chain workspace that customers really want. We're building end-to-end visibility, automated workflows, and effortless collaboration that create material savings and unlock new value for our customers. Backed by leading venture investors we’re a team passionate about product and solving the most complex day-to-day problems our customers experience. We ship fast, learn faster, and believe the best product wins. The Role We're looking for a senior backend engineer with strong fundamentals who leverages AI tooling to move fast and ship pragmatic solutions. You'll own significant parts of our platform, lead technical initiatives, and scale infrastructure as we grow. Individual ownership, proactive problem-solving, and using AI to accelerate delivery are essential. What you’ll do: • Contribute and lead new technical and product initiatives, • Take a hands-on approach to design, architecture, development, and deployment of pragmatic software that powers Beacon's platform, • Conduct thorough code reviews and seek out simplicity What you’ll need: • 5+ years Java & Spring Boot, • AWS service development and deployment, • Solid expertise in backend development, microservices architecture, and CI/CD best practices, • Track record maintaining secure applications in production, • Strong written and verbal communication skills, • Growth-oriented mindset, • Early-stage startup experience Nice to haves: • SQL, ElasticSearch, GraphQL, • GitLab CI/CD pipelines, • Fullstack skills including Typescript, React, Styled-components, HTML & CSS, • Supply chain domain knowledge