Python software engineer jobs in London - Page 4Create job alerts

Senior Software Engineer (Python) | Hybrid/London | £85,000 + Equity High-growth InsurTech modernising how underwriting and risk decisions are made. This is a key hire as the business scales its core platform, with backend engineering and AI-enabled workflows central to how the product evolves. The role You’ll own and scale core backend services powering the platform, operating across the full product lifecycle. You’ll design and build high-performance Python services, while helping embed AI into real-world workflows across underwriting, risk processing, and automation. Alongside shipping at pace, you’ll contribute to architectural decisions across services, data models, and how AI is integrated into a production-grade system. Stack: Python, FastAPI, Pydantic, LangGraph, Claude, React, TypeScript, Terraform What you need • Strong experience building production Python backend systems, • Deep knowledge of FastAPI (or similar), async Python, and PostgreSQL, • Comfortable working across the stack when needed, • Cloud experience (AWS, Azure, or GCP) Please apply if you would like to learn more!

Principal Software Engineer — Privileged Access Management (PAM) Help build the backbone of secure cloud infrastructure. Our globally-renowned client looking for a senior engineer who thrives in complex distributed systems, loves owning problems end-to-end, and wants to build security-critical infrastructure that developers actually enjoy using. You’ll work on the platform layer that powers privileged access, identity, and secure operations across modern cloud environments. This is a hands-on role for someone who enjoys designing systems, shipping production code, improving reliability, and making smart architectural decisions in a fast-moving engineering culture. What you’ll do • Build and operate cloud-native platform services on AWS, • Own systems from architecture and implementation through to production operations, • Design secure, scalable, and highly reliable infrastructure services, • Help shape technical direction and engineering standards across the platform, • Work across Python, Go, and TypeScript — choosing the right tool for the job, • Improve observability, reliability, and operational excellence across critical systems, • Collaborate closely with engineers, security, and infrastructure teams, • Solve hard problems around access control, automation, and cloud-scale operations What we’re looking for • Strong experience building and running production systems on AWS, • Deep familiarity with services like Lambda, DynamoDB, S3, EC2, SQS, EventBridge, CloudWatch, and Route 53, • Excellent Python skills, plus experience with Go for high-performance tooling or services, • Experience with infrastructure-as-code using Terraform and/or CloudFormation, • Strong systems design and architectural judgment, • Comfortable taking ownership of complex problems with minimal oversight, • Pragmatic mindset with a bias toward shipping and continuous improvement, • Bonus points for frontend experience with Svelte or TypeScript

Contract Senior Software Engineer (Java or Python) | Inside IR35 Contract length: 6 months (with potential to extend) Location: London Working Environment: On-site You will be joining a private equity firm as a senior software engineer, to work across the following responsibilities: • Develop and support P&L, accounting, and returns-calculation applications across trading books, • Build and extend our Client Reporting Framework, • Add instrument and asset class coverage in our Trade Repository system, • Manage data exchange with third-party vendors via SFTP and AWS S3, • Use AI coding assistants (Claude, Cursor, GitHub Copilot) to compress delivery timelines while maintaining full code ownership and quality accountability, • Collaborate with quant researchers and traders to translate complex financial requirements into auditable, production-grade code, • 8+ years commercial experience in Python or Java across the full development lifecycle, • 5+ years in financial services (buy-side strongly preferred), • Solid relational database skills; MS SQL Server a strong plus, • Snowflake experience required, • Familiarity with AWS (S3, Lambda, EC2, Glue or similar), • Proficiency with Git, CI/CD pipelines, and observability tooling (e.g. Datadog)AI & Tooling:, • Proven, hands-on experience shipping production code using AI coding assistants such as Claude, Cursor, or GitHub Copilot, • Demonstrable examples where AI tooling reduced delivery time by 2x or more on a meaningful task, • Strong prompt engineering skills and the ability to critically evaluate AI-generated code for correctness, security, and financial accuracyDesirable, but no essential:, • Experience with Apache Airflow or similar workflow schedulers, • REST or GraphQL API design experience, • Knowledge of fixed income, FX, or derivatives products and associated P&L/risk methodologies

Senior Software Engineer Are you a developer who loves building products, not just features? Do you thrive at the intersection of robust backend logic, intuitive frontend interfaces, and conversational AI? Are you excited to join a fast-growing, seed-funded startup transforming construction procurement? If you want to own a product from the database to the UI, we’d love to hear from you. About Us At Prolo, we’re reinventing procurement for the construction industry using AI. Our platform helps customers source materials effortlessly across WhatsApp, email, and phone—saving time and money with zero setup. We’re a small, ambitious team of 10 that moves fast, trusts each other, and enjoys building genuinely impactful technology. Your Role As a Senior Software Engineer you won’t just be ticket-crunching. You will own the end-to-end experience of our platform. You’ll be responsible for architecting scalable backend services that power our AI engine while ensuring the frontend experience is world-class. You’ll: • Build & Own: Lead the development of new features across the entire stack (Node/Python, React, and Postgres)., • AI Integration: Design and build the interfaces and APIs that allow our users to interact seamlessly with LLMs and conversational agents., • Product Thinking: Work directly with the founders to define the roadmap and turn customer insights into production-ready features., • Workflow Optimization: Support our AI-led procurement engine with high-quality data integration and scalable workflows., • User Experience: Ensure our chat and workflow interfaces are intuitive, fast, and reliable for real-world users in the field., • Scale: Help shape our engineering culture and technical architecture from the ground up as we grow. What We’re Looking For • The Full Stack: Strong experience with modern frontend frameworks (React) and backend environments (Node.js, Python, or similar)., • Startup DNA: You are comfortable in a fast-moving, seed-stage environment where you often have to figure things out from scratch., • Product Mindset: You care about why we are building something, not just how. You are user-focused and commercially aware., • AI Curiosity: Deep interest in LLMs and conversational products; experience with AI APIs is a significant plus., • Ownership: You take pride in shipping high-quality, tested code and seeing it deliver value to customers. What’s in It for You? • Equity: Become a true stakeholder in Prolo’s success., • Impact: Real ownership over a core product that construction firms rely on daily., • Tech: Work on cutting-edge conversational AI technology., • Location: Join us in our Marylebone office with a flexible hybrid rhythm., • Culture: A high-trust environment that values pace, transparency, and impact. Apply today and help us build the future of construction at Prolo. Prolo Ltd is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds No Agencies!

About Resi Labs Resi Labs is the technology and innovation arm of Resi, the UK's largest residential architecture practice. We're building products that help millions of homeowners make better renovation decisions - from understanding planning feasibility and build costs to visualising what's possible with their property. We sit on a unique dataset built over a decade: 2 million planning applications, 40,000 builder quotes, and thousands of detailed floor plans and 3D models linking design, planning, and cost data in ways no one else can. Our products are already embedded on platforms like Rightmove and Zoopla, reaching millions of homeowners per year. About The Role We're looking for a strong Product Engineer (full-stack) to join our product engineering team. You'll be someone who thinks of yourself as an engineer first, with deep hands-on experience in Ruby on Rails and a genuine passion for building great frontend experiences. You'll take pride in the quality of what users see and interact with, while being equally capable of working across the full stack to deliver features end-to-end. As a small, autonomous team, there's a real opportunity to lead here. To shape technical direction, own meaningful pieces of the product, and have your voice heard. At the core of what we build is a large dataset and data processing pipeline covering UK property data. You'll work closely with this data, helping to consume, refine, and unlock its value based on evolving product requirements - so an interest in working with complex, real-world datasets will serve you well. We're also fortunate to be working on a relatively greenfield codebase with limited technical debt, meaning you'll spend your time building thoughtfully rather than fighting legacy decisions. And we're genuine believers in AI-powered workflows, from how we write code to how the business operates day-to-day, so comfort with and curiosity about AI tooling is a must. What You'll Do • Build polished, responsive frontend experiences using Hotwire (Turbo & Stimulus) and Tailwind CSS, • Design and build full-stack features across our Rails application, from database to UI, • Collaborate with product and design to translate requirements into intuitive, well-crafted interfaces, • Build and consume APIs that power both internal tooling and customer-facing features, • Write clean, well-tested, and maintainable code with a focus on long-term scalability, • Work with our UK property dataset and data pipeline to surface meaningful information through the product, • Participate actively in code reviews, giving and receiving feedback constructively, • Contribute to architectural discussions and help raise the overall quality bar of the codebase What We're Looking For • ~5 years of professional software engineering experience (we care more about the quality of that experience than the exact number!), • Strong proficiency in Ruby on Rails - you've built and maintained production Rails apps and feel genuinely at home in the framework, • A strong eye for frontend quality - you care about how things look and feel, not just whether they work, • Comfortable working with HTML, CSS, and JavaScript across a modern Rails frontend stack, • Familiarity with relational databases (PostgreSQL preferred) and writing efficient queries, • Comfortable building and consuming APIs as part of delivering full-stack features, • Experience writing automated tests (RSpec, Minitest, or similar), • Good communication skills and a collaborative mindset - you can explain technical decisions clearly to both engineers and non-engineers, • Ability to work independently and manage your own delivery without heavy oversight Nice to Haves • Experience with Three.js - we're actively building 3D visualisation features and this will be an ongoing and growing part of the product, • Experience with Hotwire (Turbo & Stimulus) and Tailwind CSS, • Familiarity with background job processing (Sidekiq, Delayed Job, etc.), • Experience with Python and FastAPI - our data pipeline and some supporting services are built in Python, and you'd be expected to maintain and contribute to these alongside the Rails codebase, • Familiarity with Render or similar cloud infrastructure and deployment platforms, • Experience working in a startup or high-growth environment Our Stack • Backend: Ruby on Rails, PostgreSQL, Sidekiq, • Data & Services: Python, FastAPI, • Frontend: Hotwire (Turbo Stimulus), Tailwind CSS, Three.js, • Infrastructure: Render, • Tooling: GitHub Actions, Sentry About Resi Resi is the UK’s number one home extension company transforming how homeowners design, plan and build. With over 10,000 projects nationwide and a 95% planning approval rate, we make architecture accessible and transparent through a digital platform that brings design, planning and build support together. We are a team of ~60 based in the Fora in Elephant & Castle. At Resi, you will have the opportunity to work differently, take control of, and really accelerate your career. Our success is all down to our wonderful people and their talent, and that’s why we treat our employees with the same respect and care as our customers. We pride ourselves in not just aiming to be the best in the industry, but also the best place to work - our collaborative, transparent and diverse culture, with a heavy focus on personal development, means that we don’t just grow homes, we grow people too. We have an ideas-led innovation culture and we really care about creating a diverse and inclusive team - so we welcome people from all backgrounds with different perspectives, ideas and experiences to work with us. We offer our employees: • Hybrid & flexi working, • Private health & dental insurance via Bupa, • 33 days of Annual Leave (including bank holidays), • An additional day of Birthday Leave after a year of employment, • On the job mentoring, coaching and learning & development, • Access to therapy, mental health support & coaching via Plumm / EAP, • Equipment and softwares that enable you to do your best work, • Gym membership, • Enhanced parental leave, • Regular company-wide socials organised by the Resi social committee, and paid for by Resi, • Office and wider Workspace perks including snacks, fresh fruit and refreshments

Software Engineer - London £80k base + meaningful EMI equity About Revax Revax is building a new class of AI-native software for tax advisory teams. Today, advisers lose entire days to researching and drafting advice - fragmented knowledge, manual workflows, and brittle tooling. We turn a firm's own expertise into structured, transparent AI systems that draft, analyse, and explain deliverables with full traceability. We're a seed-stage startup backed by leading institutions and angels, already working with major firms. The team is small, technical, and shipping fast. The role We're hiring a Software Engineer to help scale Revax. You will work directly with the founders, owning features end-to-end across the stack, and helping to define how AI systems are built responsibly in regulated domains. Customer calls, prototyping, production hardening, and the work that lets us sell into leading firms - all of it is in scope. If you enjoy designing clean APIs, scaling services, and shipping products to paying enterprise customers, this role is for you. What you'll do • Model and optimise PostgreSQL / Supabase & graph db / Neo4j schemas for complex data, • Design and implement APIs in FastAPI for AI workflows and product features, • Build and scale LangGraph-based multi-agent systems with checkpointing, retries, and observability, • Integrate vector search, knowledge graphs, and retrieval pipelines into production services, • Deploy services on GCP (Cloud Run / GKE) and improve performance, reliability, and cost, • Implement the auth, IAM, audit, and access-control patterns enterprise customers expect, • Help deploy SSO, tenant isolation, auditability, and the security reviews that come with selling to major firms, • Work with customers, other engineers, and the founders to create best in class software Who we're looking for Essential • 2–3 years building production software used by real users, • Experience working in startups (1 year + of total experience), • Experience with LangGraph, RAG pipelines, vector databases, or knowledge graphs, • Production experience with FastAPI or a similar modern Python framework, • Experience scaling and operating services on GCP, AWS, or Azure, • A high-ownership mindset - you care about reliability, correctness, and outcomes, not lines of code, • Heavy use of modern AI coding tools (Cursor, Claude Code, Codex) Strong plus • Experience with any of; multi-tenant deployments for enterprise customers, VPC networking, Kubernetes, or shipping into procurement-heavy regulated buyers., • Exposure to Neo4j or graph-based data modelling, • Time spent on AI-native or agentic systems in production Nice to have • Exposure to professional services, finance, tax, or other regulated domains, • Strong instincts for developer experience and internal tooling The package • £80k base + meaningful EMI equity, • London-based, with a strong preference for in-office, • Visa sponsorship available, • Modern stack, and driven team that you can get have an impact in from day 1. If this sounds like you, please apply.

About SaxeCap: SaxeCap is the premier AI transformation and investment platform in private equity. We pioneered the concept of buying out traditional businesses and transforming them with AI in 2018, and today we are the go-to AI transformation partner for 60+ PE firms globally, including 9 of the 10 largest by AUM as well as the world’s leading sovereign wealth funds. We've transformed 140+ businesses across healthcare services, business services, financial services, software, consumer, and more, driving billions of dollars of enterprise value expansion along the way. We operate at the intersection of three businesses: (1) a private equity investment arm, (2) an in-house AI transformation firm that designs and deploys bespoke GenAI, ML, and automation solutions, and (3) a suite of proprietary software products. Our team comes from places like Google, Palantir, Meta, Surge AI, Blackstone, TPG, Cerberus, Millenium, Balyasny, McKinsey, Bain, Oliver Wyman, MIT, Stanford, IIT, GSB, HBS, and Wharton. We were early investors in OpenAI, Anthropic, Groq, SpaceX, Neuralink, Mercor, Lambda Labs, etc. But what makes our team exceptional isn't where they came from or what they've invested in, it's what they ship. We are builders. About the Role: We are hiring a Vice President, AI Strategy & Deployment to join our AI transformation team and build our presence in the UK and EU. This is not a traditional consulting or investment role. You will own the full lifecycle of AI-driven value creation across our PE partner portfolio, from first engagement with a sponsor, through deep technical and strategic analysis, to managing our engineers and data scientists as they build and deploy solutions that move EBITDA. You will operate across a range of workstreams simultaneously: evaluating AI opportunities for PE sponsors under deal timelines, designing comprehensive transformation roadmaps for portfolio companies, managing technical teams through production AI deployments, supporting investment underwriting for SaxeCap's own PE vehicle, and leading business development with new partners. The common thread: you are the person who connects AI's technical potential to measurable business value, and you own the outcome end to end. About You: You are a hybrid: part technologist, part strategist, part operator. You are equally comfortable whiteboarding a model architecture with an ML engineer, presenting an AI transformation roadmap to a private equity partner, and pressure-testing an LBO model. You move fast, you think in structures, and you obsess over shipped outcomes rather than theoretical potential. Specifically: • 5 to 10 years of experience spanning two or more of: private equity, AI/ML product management, strategy consulting (MBB or comparable preferred), investment banking, or engineering, • You have managed teams of 5+ people (engineers, data scientists, consultants, or analysts) and held them accountable to ambitious timelines, • You have managed executive and C-suite stakeholder relationships, ideally in a PE or PE-adjacent context, • You have real AI/ML fluency: you can discuss model architectures, data pipelines, and build-vs-buy trade-offs with technical teams, not just at a buzzword level. Hands-on experience with Python, SQL, and data science tools is expected. Experience shipping ML products, managing RLHF programs, or building GenAI solutions is a strong differentiator., • You have experience quantifying enterprise value and EBITDA impact of technology or transformation initiatives; not just tracking KPIs, but tying technical outcomes to P&L, • You have product management instincts: understanding user pain points, scoping technical solutions, and managing the build through deployment, • You have operated in fast-paced, ambiguous environments where the scope, stakeholders, and approach shift rapidly, and you thrive in that context rather than resist it, • Bachelor's and/or Master's degree in Computer Science, Engineering, Mathematics, or a related technical field from a top-tier institution What Sets the Best Candidates Apart: The people who excel at SaxeCap share a specific profile. They are not pure technologists and not pure dealmakers, they are the rare operators who can do both. The strongest signals we look for: • Shipped AI, not just studied it. You have built or managed the build of AI/ML solutions that went to production and drove measurable business outcomes. "Led AI strategy" without specifics doesn't move the needle. "Shipped an ML model that reduced X by Y%, managing a team of Z engineers" does., • PE-grade rigor under time pressure. You can form accurate conviction on an AI opportunity from limited information and present that conviction to a PE partner with confidence. If you've worked on a live deal, you know what this feels like., • Builder DNA. You don't just recommend, you build. Side projects, open-source contributions, 0-to-1 products, or intrapreneurial ventures all signal the instinct we're looking for., • Structured synthesis at scale. You can process massive amounts of qualitative and quantitative information and distill it into a prioritized plan that senior executives can act on. This is the hardest skill to find and the one we value most. Compensation & Growth: SaxeCap offers highly competitive compensation, and you will work directly with our senior leadership from day one, with significant client exposure and rapid professional development. The team is lean by design, there are no layers between you and impact.

Job title: Software Engineer Location: London We are currently working with an exciting space engineering company in London developing next-generation spacecraft technology and looking to add a Software Engineer to the team. About them: Our client are building advanced technology for real-world space applications, working on systems that are helping shape the future of the industry. They are growing rapidly and are looking for engineers who enjoy solving complex technical challenges within a fast-moving environment. Responsibilities: • Develop and maintain software for space-based systems, • Work across embedded, flight or mission software development, • Support system integration, testing and validation activities, • Collaborate with multidisciplinary engineering teams, • Contribute to the full software development lifecycle, • Support the development of mission-critical technologies Role requirements: • Experience within Software Engineering, • Strong programming experience with languages such as C++, Python or Rust, • Experience with embedded systems, real-time software or distributed systems is beneficial, • Understanding of software testing and validation processes, • Previous experience within space, aerospace or high-performance engineering environments is advantageous, • Strong problem-solving ability and collaborative mindset

Embedded Software Engineer | UK (Hybrid) My client is an innovative technology company developing advanced hardware and networking solutions for high-performance computing environments. They’re looking for Software Engineers to build embedded and host software for high-speed systems, working closely with hardware teams to deliver production-ready solutions from early prototypes. Responsibilities • Define software architecture with cross-functional teams, • Develop embedded software for network interface hardware, • Linux PCIe driver development, • Build network control and monitoring tools (server/client), • Enhance DevOps and CI/CD pipelines Requirements • Strong embedded software development experience, • Experience with soft processors, • Linux kernel and user-space development, • Experience with DevOps / CI/CD workflows, • Strong programming skills in C, C++ and Python, • Experience working with hardware and debugging real systems, • Experience developing low-level drivers or high-speed interfaces (PCIe, NVMe) is highly desirable If this sounds like you, please apply below!

Job Title: Embedded Software Engineer Location: London, United Kingdom Company: Chevalier Tech Job Type: Full-Time, Permanent About Chevalier Tech Chevalier Tech is a cutting-edge technology company based in London, focused on developing advanced embedded systems and smart hardware products across the automotive, IoT, and industrial sectors. We combine deep technical expertise with a relentless drive for innovation to build solutions that power the future. We are seeking an experienced and passionate Embedded Software Engineer to join our dynamic engineering team and help design, develop, and optimise software for our next-generation hardware platforms. Key Responsibilities • Design and develop embedded software for microcontrollers and system-on-chips (SoCs) used in Chevalier Tech’s products., • Write clean, efficient, and well-documented C/C++ code for real-time and bare-metal systems., • Work closely with hardware engineers to bring up new boards and validate hardware functionality., • Integrate and debug device drivers, communication protocols (e.g., SPI, I2C, CAN, UART), and sensors., • Optimise system performance, including memory usage, boot times, and power consumption., • Contribute to system architecture design and participate in code reviews and testing., • Support production and manufacturing teams in system diagnostics and troubleshooting., • Document software design, test plans, and procedures. Essential Skills & Experience • Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or a related discipline., • 1+ years of professional experience in embedded systems development., • C and C++ for embedded platforms., • Experience with ARM Cortex-M or Cortex-A architectures., • Familiarity with RTOS environments (e.g., FreeRTOS, Zephyr, ThreadX) and bare-metal systems., • Understanding of low-level debugging tools such as oscilloscopes, logic analyzers, and JTAG/SWD., • Experience with version control systems (e.g., Git)., • Working knowledge of hardware schematics and the ability to interpret datasheets. Desirable Skills • Familiarity with safety-critical systems (e.g., ISO 26262, IEC 61508)., • Knowledge of wireless communication stacks (e.g., Bluetooth, LoRa, Wi-Fi)., • Experience with Python for test automation or scripting., • Understanding of secure boot, firmware update mechanisms, and embedded cybersecurity. Why Join Chevalier Tech? • Work on real-world, high-impact products used across multiple industries., • Be part of a collaborative, multidisciplinary team that values innovation and technical excellence., • Access to the latest tools, lab equipment, and development hardware., • Flexible working hours., • Competitive salary., • Opportunities for professional development and career growth.

Applied AI Engineer | London 🚀 One of the fastest moving AI startups in London, backed by some of the world’s top VCs and founded by real entrepreneurs with multiple exits 💸 This is a rare chance to join at an early stage and build at the absolute frontier of applied AI, working directly with the founders on a product already used by global enterprise customers 🔥 Why this is exciting • Build and ship production AI systems including RAG pipelines and AI agents, • Work end to end across backend, infrastructure and AI, • Shape architecture, engineering standards and culture from day one, • Huge ownership and real impact 🧠 What you need • 5+ Years professional software experience (Python), • Excellent Educational Background (BSc, MSc, PhD - 2.1 or higher), • Hands-on experience building and deploying AI applications, • Comfortable moving fast in high ambiguity environments, • Genuine passion for building products that scale 🎁 What is on offer • Very competitive salary + meaningful equity, • Direct access to truly entrepreneurial founders, • A defining role at one of London’s most ambitious startups Challenging and intense, but tons of fun 🙌 Apply here, or pop your CV to to find out more!

Forward Deployed Engineer - High Profile AI Scale-Up [Relocation to Dubai required] About the Company We are working with a high profile, AI Scale-Up focused on building advanced AI-driven software for enterprise environments. The approach centres on developing highly customised solutions that integrate deeply with client data, workflows, and operational processes. Rather than offering off-the-shelf products, the team delivers tailored systems designed to drive measurable improvements in efficiency, decision-making, and overall performance. The work sits at the intersection of software engineering, data, and real-world business impact. The Role - Forward Deployed Engineer This is a high-impact, customer-facing engineering role focused on solving complex business challenges through AI-powered software. You will work directly with stakeholders to understand problems, design solutions, and deploy production-grade applications. The role involves full ownership across the lifecycle from initial discovery and scoping to implementation and continuous iteration. This position goes beyond traditional engineering. You will play a key role in shaping how organizations operate by embedding technology into core workflows and decision-making processes. What You’ll Do • Partner closely with customers to identify and define high-priority business problems, • Design and build custom applications leveraging enterprise data (structured and unstructured), • Develop and deploy workflows that are actively used by operational teams and leadership, • Iterate quickly, delivering solutions that drive measurable outcomes, • Take end-to-end ownership of projects, from concept through to production and optimization, • Collaborate across technical and non-technical teams to ensure successful delivery, • Operate in a flexible, language-agnostic environment where technology choices are driven by problem requirements rather than fixed stacks What We’re Looking For • Customer Obsession with a drive to solve real-world problems and deliver tangible impact, • Excellent analytical and problem-solving skills, with the ability to break down complex challenges, • Proficiency in Python and/or TypeScript, • Experience building and deploying applications using large datasets, • Demonstrated ability to deliver meaningful business outcomes through software or data solutions, • High level of ownership and ability to work autonomously, • Strong communication and collaboration skills across diverse stakeholders, • Willingness to travel for client engagements, • Comfortable working in a hybrid, in-person environment across global teams Nice to Have • Degree in Computer Science or a related discipline from a Tier 1 academic group, • Experience with production machine learning or LLM-based systems, • Exposure to enterprise data platforms or similar tools, • Frontend development experience (e.g., React), • Familiarity with distributed computing frameworks (e.g., Spark) What’s on Offer • Competitive compensation package, including equity, • Comprehensive benefits, • Hybrid working model, • Opportunity to build products and systems from the ground up (0→1), • High ownership within a small, high-performing team, • Exposure to complex, high-value enterprise challenges [Relocation to Dubai required]

Firmware Engineer West London (Hybrid – 3 days onsite) Up to £65,000 + benefits Our client is an innovative and growing engineering-led organisation operating within the Consumer Electronics / Mobility sector. They are seeking a Firmware Engineer to join their team and play a key role in developing embedded software for next-generation products. This is an exciting opportunity to work across the full product lifecycle, from early-stage prototyping through to production and manufacturing, within a collaborative and forward-thinking environment. Key Responsibilities • Develop clean, efficient, and scalable embedded software in C/C++, • Work closely with hardware engineers on board bring-up, debugging, and validation activities, • Design, implement, and maintain firmware for embedded systems, including motor control, sensor integration, and low-level drivers, • Troubleshoot and resolve complex issues related to real-time performance, timing, and signal integrity, • Contribute to system architecture, coding standards, and long-term platform strategy Candidate Profile Our client is looking for a motivated and proactive engineer with a strong background in embedded systems and a passion for solving complex technical challenges. Essential skills and experience: • Proven experience in embedded software development, • Strong programming skills in C and C++, • Experience across the software development lifecycle (requirements, design, implementation, testing), • Hands-on experience with embedded communication protocols such as BLE, CAN, I2C, UART, or SPI, • Ability to work independently as well as collaboratively within a multidisciplinary team Desirable experience: • Knowledge of functional safety standards (e.g. ISO 13849 or ISO 26262), • Experience with electric motors or inverter-driven systems would be highly advantageous, • Familiarity with RTOS-based development, • Experience using Python for tooling or automation, • Exposure to CI/CD environments (e.g. Jenkins, Docker), • Experience with version control systems such as Git What’s on Offer • Competitive salary of up to £65,000 plus a performance-related bonus, • Pension scheme, • 25 days annual leave plus public holidays, • Flexible working arrangements, including a compressed working schedule option, • Access to learning and development resources, • Health and wellbeing support, including confidential counselling services, • Regular social events and team activities, • Employee discounts and additional benefits Sound like you? Apply now!

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.

numi have once again partnered with a leading player in alternative asset management is reshaping the treasury function. With cutting-edge technology and a seasoned team of industry experts, this company aims to reduce financing costs and optimize return metrics. Who We're Seeking: • We're on the lookout for a seasoned Associate to Mid-level Software Engineer with hands-on Python experience., • Familiarity with AWS Serverless and related technologies would be advantageous., • Strengths in Pandas, Polars, Pytest, Postgres, and CI/CD is essential., • If you're interested in Agile methodologies, and have a curiosity about DDD and Event-Driven architectures, you'd fit right in. What You'll Do: • Spearhead core capabilities for Client Onboarding Value Stream., • Bring to life our loosely-coupled event-based architectural vision., • Elevate user experiences and process-based outcomes., • Mentor junior team members and contribute to collective growth. Process: • Zoom call with the technical lead (60 mins): Discuss your career journey and skills., • Face-to-face session with the team (90 mins): Collaborate on an exercise, showcasing your skills and working style., • Zoom calls with the executive team (30 mins each): Explore industry insights and the company's role. Interviews are kicking off & we are shortlisting candidates for this position, if this sounds like something that would suit your experience. Apply now!

🚀 Contract Role: AI / Data / ML Prototype Engineer (Rapid PoC Builder) We are seeking a highly autonomous contractor who thrives on turning loosely defined ideas into working solutions quickly. This role is focused on rapid experimentation, validation, and prototyping—not long delivery cycles. The goal is simple: determine quickly whether an idea is viable and worth scaling. 🧩 The Role You will take early-stage concepts and independently build end-to-end proofs of concept (PoCs), combining data engineering, machine learning, and lightweight application development. Where a PoC shows promise, you will extend it into a functional prototype aligned to real business needs. You will work with minimal guidance, move fast, and communicate findings clearly to stakeholders. ⚙️ Key Responsibilities • Build PoCs from loosely defined ideas within 2–3 days, • Design and implement end-to-end experimental solutions (data → model → output), • Combine data engineering, analytics, and ML to test feasibility quickly, • Develop lightweight prototypes (APIs, notebooks, dashboards, simple UIs), • Translate business ideas into technical approaches independently, • Iterate rapidly based on feedback and refine working solutions, • Integrate data from APIs, SQL sources, and cloud platforms, • Apply ML/NLP techniques where relevant to validate concepts, • Clearly document and communicate outcomes, assumptions, and limitations, • Strong ability to turn ideas into working software quickly, • Hands-on Python experience (data processing, prototyping, ML), • Strong SQL and data engineering skills (APIs, pipelines, cloud data), • Experience building end-to-end prototypes, not just models, • Understanding of ML fundamentals (feature engineering, evaluation, etc.), • Ability to work in ambiguous, fast-moving environments, • Experience integrating LLMs or AI services into applications, • Familiarity with modern data platforms (e.g., Snowflake), • Experience with visualization tools (Tableau, Plotly, etc.), • You can go from idea → working PoC in 2–3 days, • You can evolve PoC → usable prototype in 2–3 weeks, • You help teams make fast, evidence-based decisions, • You prioritise practical outcomes over perfect engineering

Senior Python Engineer | Full Stack | Real-time Data Platform 3 days onsite (nr Oxford) every 6 weeks This is a backend-led full stack role at an early stage technology company building a production grade SaaS platform for real-time data systems and analytics at scale. This is product engineering, not data pipeline work. You will be building customer facing software that runs in production and is used daily by real users. The team is growing fast and the scope is broadening. You will work on customer driven features and also contribute directly to the core platform as the business accelerates through its next phase of growth. You will work primarily in Python, reaching into React on the frontend and working across AWS to ship and support full features end to end. What you will be doing Building backend services and APIs in Python that power customer facing product features Working into React on the frontend to complete features across the stack Using AWS to deploy, support, and evolve production capabilities Contributing to the core platform as the product matures, not just the features built on top of it Collaborating with architecture and platform teams to maintain coherence and quality at pace Taking ownership of reliability, performance, and maintainability in a live SaaS environment What we are looking for 5 or more years building production SaaS systems as a Software Engineer, with a backend focus Strong Python fundamentals with real production experience in a SaaS context Working ability in React or frontend development more broadly Cloud experience, ideally AWS Comfortable in early stage environments where ownership is high and things move fast A production first mindset with a strong sense of software quality Nice to haves Experience in data intensive or real-time systems Exposure to API driven architectures and event driven patterns Previous work on multi-tenant SaaS platforms Salary: £70,000 to £80,000 plus benefits No sponsorship available. Applicants must already be based in the UK and eligible for SC security clearance (min of 5 years working in the UK) Interested? Drop me a message and I will share more context on the business and the platform.

The next wave of enterprise software won’t be dashboards or copilots. It will be Digital Workers, autonomous AI systems capable of executing complex workflows end-to-end. At causaLens, we are building the platform that enables enterprises to deploy these Digital Workers safely and at scale. Our Digital Worker Factory allows organisations to design, deploy, and manage AI agents that automate decision-making, analytics, and operational workflows across the enterprise. These systems are already being used by global companies including Johnson & Johnson, Syneos Health and Cisco to transform how work gets done. Backed by $50M+ in funding from Molten Ventures, Dorilton Capital, and IQ Capital, and supported by visionary investors including the CEO of Revolut, causaLens is scaling rapidly. Our team includes leading AI researchers, engineers, and scientists, almost 20% with PhDs. Here are 2 articles that define our culture: The Role We’re hiring an AI Engineer to build and deploy enterprise-grade AI systems and digital workers in production. You’ll work closely with global organisations, embedding with clients to untangle complex workflows and translate them into reliable, scalable agentic systems—integrating models, data, and enterprise infrastructure into solutions that operate in real-world environments. Job requirements We’re looking for engineers who want to apply advanced AI to meaningful business problems. You’ll contribute to systems spanning LLMs, multi-agent coordination, retrieval and reasoning, and enterprise data integration; building software that automates workflows and takes action, rather than producing static outputs. Our stack typically includes Python, modern LLM frameworks, orchestration tools, and cloud platforms such as AWS, GCP, or Azure. What you’ll bring: • Proven hands-on experience building production-grade solutions using LLMs, RAG pipelines, MCPs, and agentic workflows, • A forward-deployed, client-first mindset, with experience working directly with both technical teams and business stakeholders, • Strong delivery capabilities, with the ability to translate complex business problems into scalable AI systems, • Partner with leading enterprises to understand their needs and design tailored agentic workflows, • Implement robust, scalable systems leveraging the latest advancements in AI, • Own the end-to-end delivery of high-impact AI products, from concept through to production deployment Our culture values intellectual rigour, ownership, and the primacy of winning. We expect tech team members to work from the office 1-2 days per week. Benefits We care about our people’s lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration and a great work-life balance, we offer the following: • 25 days of paid holiday, plus bank holidays, • carry over/sell holiday options (up to 5 days), • Share options, • Pension scheme, • Core life cover for all employees, equivalent to 4x your annual basic salary, • Happy hours and team outings, • Referral bonus program, • Cycle to work scheme, • Friendly tech purchases, • Benefits to choose from, including Health/Dental Insurance, • Special Discounts, • Learning and development budget, • Work abroad days, • Recruiter Screen, • Hiring Manager / Team Interview (30 mins): Deep dive into past projects, recent codebases, • Take-Home Challenge (3 hours): Testing structured thinking and practical coding/problem-solving. If you require accommodations during the application process or in your role at causaLens, please contact us at

Lead Embedded Software Engineer Location: Ealing Area – With Hybrid Working from Home Salary: Up to £80,000 + Extensive Benefits The Role KO2’s client is looking for a Lead Embedded Software Engineer to drive the development of robust, scalable embedded software solutions for next-generation electric products. This role combines hands-on technical delivery with small-team leadership, offering the opportunity to influence architecture, mentor engineers, and shape the future direction of embedded platforms. You will play a key role across the full product lifecycle — from early-stage prototyping and system design through to production, manufacturing, and long-term product support — while helping build engineering best practices and delivery capability within the team. Key Responsibilities • Lead the design and development of high-quality embedded software that is efficient, maintainable, scalable, and production-ready, • Provide technical leadership to a small embedded software team, supporting task planning, technical direction, mentoring, and code reviews, • Collaborate closely with hardware, systems, and manufacturing teams to support board bring-up, debugging, integration, and system validation, • Own key architectural decisions, helping define software frameworks, coding standards, development processes, and long-term platform strategy, • Design, implement, test, and maintain embedded software for internally developed electric systems and connected devices, • Investigate and resolve complex real-time issues relating to timing, performance, reliability, and signal integrity, • Support continuous improvement initiatives across tooling, automation, testing, and development workflows, • Contribute to project planning, technical estimation, risk management, and delivery milestones, • Champion engineering best practices including documentation, version control, CI/CD, and software quality standards About You • Strong commercial experience developing embedded software in C and C++, • Proven experience leading or mentoring engineers within a small technical team or project environment, • Strong understanding of embedded systems architecture and full software development lifecycle practices, • Experience developing RTOS-based applications, • Hands-on experience with embedded communication protocols such as BLE, CAN, I2C, UART, or SPI, • Comfortable working across hardware/software boundaries, including debugging and system integration, • Experience using version control systems, particularly Git, within collaborative development environments, • A proactive technical problem-solver with strong analytical and root-cause investigation skills, • Ability to communicate effectively with both technical and non-technical stakeholders Desirable Skills • Exposure to functional safety standards such as ISO 13849 or ISO 26262, • Experience with CI/CD pipelines and modern development tooling (e.g. Jenkins, Docker), • Familiarity with Python for automation, tooling, or test development, • Experience contributing to technical roadmaps, architectural strategy, or platform standardisation Why Apply? This is an excellent opportunity for a senior embedded engineer ready to step into a lead role — or an existing lead engineer looking for greater technical ownership and influence within an innovative engineering environment developing advanced electric products. Apply today with an up-to-date CV

Job Title: Front End Engineer - AI Location: Remote / Onsite / Hybrid Job Type: Full-time / Contract About the Role We are seeking an experienced and forward-thinking Front End Engineer to join our AI Ops delivery team. In this role, you will lead the design, development, and delivery of GenAI-powered agentic systems that automate complex business processes across domains such as HR, Payroll, SAP, and Client Delivery. You’ll serve as the technical lead within a Business/Core Pod, responsible for mentoring engineers, shaping solution architectures, and ensuring delivery excellence. This role combines deep hands-on engineering with architectural ownership and close collaboration with product managers and domain experts. Key Responsibilities • Own the technical design and architecture of GenAI agent workflows within the Business Pod, • Serve as a hands-on developer, actively contributing to the design, coding, and delivery of production-grade agents and tools, • Lead code and design reviews, ensuring alignment with architectural standards and platform best practices, • Collaborate with the AI Ops Core Pod to adopt and influence reusable assets, frameworks, and integration patterns, • Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI, • Develop prompt chains, agent tools, and custom modules that support reasoning, summarization, and multi-step task execution, • Integrate agents with enterprise systems (e.g., Workday, SAP, Salesforce) via REST APIs, SDKs, or message queues, • Build and manage agent lifecycle components, including initialization, memory/state handling, and fallback logic, • Implement and consume vector store integrations, prompt templates, and retrieval-augmented generation (RAG) techniques, • Ensure workflows are robust, secure, and observable, with proper logging, monitoring, and exception handling, • Partner with Product Managers, SMEs, and QA to translate business processes into agentic workflows and iterate based on feedback, • Contribute to the automation of testing, deployment, and validation pipelines for AI agents, • Maintain thorough documentation of agent behavior, design decisions, and integration logic for operational readiness and knowledge transfer Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, • 4+ years of experience in developing and deploying production-grade AI/ML or automation solutions, • Strong proficiency in Python, with hands-on experience using FastAPI, REST APIs, and background task orchestration, • Deep familiarity with agentic frameworks such as LangChain, LangGraph, CrewAI, ReAct, or similar, • Understanding of LLM orchestration, including prompt design, tool usage, context management, and agent memory, • Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks, • Solid foundation in distributed system design, including state management, retries, error handling, and resilience, • Experience with business process automation or workflow automation in real-world environments, • Comfortable working with SQL/NoSQL databases, including data modeling and validation, • Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or GCP), • Understanding of security concepts including authentication (OAuth2), authorization, and secure API integration, • Exposure to multi-agent patterns (e.g., supervisor-worker, planner-executor, judge-critic) is a strong plus Nice to Have • Contributions to open-source agent frameworks or AI tooling., • Experience working with observability and monitoring tools to track agent performance., • Exposure to knowledge graphs, memory management systems, or retrieval-augmented generation (RAG) pipelines.

Job Title: AI Engineer Location: Remote / Onsite / Hybrid Job Type: Full-time / Contract About the Role We are seeking an experienced and forward-thinking AI Lead Engineer to join our AI Ops delivery team. In this role, you will lead the design, development, and delivery of GenAI-powered agentic systems that automate complex business processes across domains such as HR, Payroll, SAP, and Client Delivery. You’ll serve as the technical lead within a Business/Core Pod, responsible for mentoring engineers, shaping solution architectures, and ensuring delivery excellence. This role combines deep hands-on engineering with architectural ownership and close collaboration with product managers and domain experts. Key Responsibilities • Own the technical design and architecture of GenAI agent workflows within the Business Pod, • Serve as a hands-on developer, actively contributing to the design, coding, and delivery of production-grade agents and tools, • Lead code and design reviews, ensuring alignment with architectural standards and platform best practices, • Collaborate with the AI Ops Core Pod to adopt and influence reusable assets, frameworks, and integration patterns, • Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI, • Develop prompt chains, agent tools, and custom modules that support reasoning, summarization, and multi-step task execution, • Integrate agents with enterprise systems (e.g., Workday, SAP, Salesforce) via REST APIs, SDKs, or message queues, • Build and manage agent lifecycle components, including initialization, memory/state handling, and fallback logic, • Implement and consume vector store integrations, prompt templates, and retrieval-augmented generation (RAG) techniques, • Ensure workflows are robust, secure, and observable, with proper logging, monitoring, and exception handling, • Partner with Product Managers, SMEs, and QA to translate business processes into agentic workflows and iterate based on feedback, • Contribute to the automation of testing, deployment, and validation pipelines for AI agents, • Maintain thorough documentation of agent behavior, design decisions, and integration logic for operational readiness and knowledge transfer Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, • 4+ years of experience in developing and deploying production-grade AI/ML or automation solutions, • Strong proficiency in Python, with hands-on experience using FastAPI, REST APIs, and background task orchestration, • Deep familiarity with agentic frameworks such as LangChain, LangGraph, CrewAI, ReAct, or similar, • Understanding of LLM orchestration, including prompt design, tool usage, context management, and agent memory, • Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks, • Solid foundation in distributed system design, including state management, retries, error handling, and resilience, • Experience with business process automation or workflow automation in real-world environments, • Comfortable working with SQL/NoSQL databases, including data modeling and validation, • Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or GCP), • Understanding of security concepts including authentication (OAuth2), authorization, and secure API integration, • Contributions to open-source agent frameworks or AI tooling., • Experience working with observability and monitoring tools to track agent performance., • Exposure to knowledge graphs, memory management systems, or retrieval-augmented generation (RAG) pipelines.

Senior AI-Enabled DevOps Engineer Build and operate modern software systems where AI meets production reality We're looking for a Senior AI-Enabled DevOps Engineer to join a growing engineering capability working on complex, important software systems that increasingly embed AI to improve delivery, decision-making, and operational effectiveness. This is a hands-on senior engineering role for someone who enjoys operating across software development, DevOps, and modern cloud platforms. You won't be a people manager, but you will be a trusted senior engineer, shaping technical approaches, raising engineering standards, and helping teams deliver reliable systems in production. What you'll be doing At the core of this role is building well-engineered, production-grade systems that integrate cleanly with AI platforms and services. You will: • Design, build, deploy, and operate AI-enabled software and platform solutions, • Develop API-driven services and integrations that allow systems to interact effectively with AI capabilities, • Modernise existing applications towards service-based, cloud-native architectures, • Implement and operate integration mechanisms between software systems and AI platforms, including emerging patterns and protocols where appropriate, • Use AI tools to improve engineering productivity - while maintaining full accountability for quality, safety, and correctness, • Review, validate, and guide AI-generated code and outputs, ensuring they meet real engineering and operational standards, • Build services in TypeScript and Python, supported by strong testing and clean code practices, • Package, deploy, and operate workloads using Kubernetes (e.g. Helm) and Infrastructure as Code (e.g. Terraform), • Work closely with other engineers, platform teams, and AI specialists to deliver integrated, end-to-end solutions Essential experience: • Proven experience as a Senior Software Engineer, Senior DevOps Engineer, or similar hands-on role, • Excellent software engineering fundamentals: system design, maintainable code, testing, and operability, • Strong experience building API-first or service-based systems, • Proficiency in TypeScript and Python, • Hands-on experience deploying and operating production systems using containers and automation, • Confidence working across development, deployment, and operational concerns, • Integrating software systems with AI platforms or AI-assisted workflows, • Exposure to emerging AI integration approaches or protocols (e.g. MCP), • Platform engineering or DevOps at scale This is an opportunity to sit at the intersection of modern software engineering, DevOps, and applied AI, working on real production systems rather than experiments or demos. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Senior Python Developer Watford, Hertfordshire (Hybrid) £70,000 - £75,000 per annum + Excellent benefits On behalf of an industry Leading organisation, I am seeking a Senior Python Developer with strong production experience building high-throughput, message-driven platforms. This role suits someone comfortable working on real-world, always-on systems where reliability, performance, and clear engineering judgement matter as much as clean code. The business is pleased to offer this role on a hybrid basis with a non-negotiable 3 days in office; therefore, you must be within easy reach of their Watford-based offices. Responsibilities: • Collaborate closely with Principal Engineers., • Provide technical guidance, insight, and mentorship to other engineers., • Participate in peer reviews and offer constructive feedback., • Support product stakeholders in shaping the roadmap., • Contribute to best practices and engineering standards across the wider engineering organization., • Participate in modern software development practices including pairing, code reviews, documentation reviews, testing, and continuous delivery., • Translate requirements into implementable technical specifications and tasks., • Maintain accurate and reliable technical documentation., • Provide regular updates on progress, timelines, risks, and dependencies., • Lead troubleshooting and incident resolution, including occasional out-of-hours support., • Ensure unit tests are implemented and fit for purpose., • Research and evaluate new technologies that could benefit the organisation., • Design and develop high-quality Python software that meets complex business needs., • Ensure code, documentation, and testing align with engineering standards., • Deliver solutions that meet acceptance criteria, performance expectations, and operational reliability., • Experienced Senior Engineer who can make sound trade-offs, design for scale, and contribute to complex systems without over-engineering., • Strong engineering judgement and real-world delivery experience., • Senior-level experience designing and building production Back End services in Python (3.10+)., • Strong background in high-throughput, message-based or event-driven systems., • Proven experience building API-first services, with a focus on performance, reliability, and maintainability., • Python Back End development, primarily using FastAPI and modern API patterns., • Strong understanding of RESTful API design, schema validation, and OpenAPI/Swagger., • Experience working with messaging and eventing platforms such as Kafka, RabbitMQ, Azure Service Bus, MQTT, or similar., • Cloud-native development experience is essential (ideally on Azure)., • Hands-on experience with containerisation (Docker) and orchestration platforms such as Kubernetes., • Exposure to building and supporting shared or internal libraries used across multiple services.

Senior Engineering Manager (AI) Growing people, teams, and modern engineering capability in an AI-enabled world We're looking for a Senior Engineering Manager (AI) to support, grow, and enable high-performing engineering teams, with a strong focus on AI-assisted development, engineering acceleration, and modern ways of working. This is a senior, people-focused leadership role for someone who brings deep credibility from a software engineering background and is ready to lead through coaching, influence, and judgement rather than hands-on delivery. You'll play a key role in shaping how teams adopt AI in practice - focusing not just on tools, but on behaviours, standards, and sustainable delivery. The organisation is building momentum in AI but remains at an early stage of maturity. This creates ambiguity, complexity, and genuine opportunity. The role suits someone curious, adaptable, and resilient, who enjoys helping teams learn, evolve, and perform better over time. What you'll be doing Your focus is on enabling people and teams, while helping the organisation use AI in a way that genuinely improves outcomes. You will: • Provide leadership, coaching, and support to engineering teams delivering AI-enabled products and platforms, • Act as a visible and approachable engineering leader, shaping team culture, collaboration, and professional standards, • Support the adoption of AI-assisted development practices, balancing acceleration with quality and sustainability, • Work closely with senior engineers and technical leads to influence technical direction without needing to be the most senior specialist in the room, • Help shape engineering ways of working, particularly where AI introduces new opportunities or constraints, • Support teams operating in secure or constrained environments, balancing governance with delivery pragmatism, • Translate technical concepts - including architecture, tooling, and AI-related workflows - for non-technical stakeholders, • Build strong relationships across engineering, product, and delivery communities, • Identify opportunities to improve productivity, resilience, and consistency through better practices and collaboration Essential experience: • A strong background as a software engineer, with significant experience as an individual contributor, • Demonstrable experience leading, supporting, or influencing engineers in delivery environments, • Practical exposure to AI-enabled software development, including acceleration and experimentation, • At least 12 months' experience working in or alongside AI-focused teams, • Solid understanding of modern software engineering and infrastructure practices, • Comfortable operating where processes and patterns are still forming, • Able to balance technical realities with organisational and people considerations, • Clear, confident communicator with credibility across stakeholder groups, • Resilient, adaptable, and confident leading without complete certaintyDesirable experience, • Experience supporting or observing formal engineering management, even if not previously a full line manager, • Background in large-scale or complex engineering organisations, • Exposure to AI acceleration tools or emerging AI-assisted workflows, • Familiarity with Python and modern software or infrastructure stacks, • Experience working in secure, regulated, or restricted environments, • Background in areas such as platform engineering, infrastructure, FinOps, or large technology estates If you care about how engineering teams work, enjoy leading through trust and credibility, and are motivated by helping others succeed in a changing technical landscape, this role offers real scope and impact. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Python Backend Developer Engineer AWS Lambda London London/Hybrid 2-3 days onsite, United Kingdom - £450 per day UMBRELLA only inside A leading IT Consultancy is seeking a Python Backend Developer Engineer AWS Lambda on a contract basis. You will be needed to work onsite in London 2 days a week. Please DO NOT apply unless you can commit to this. We are looking for candidates with exceptionally strong Python coding skills. The Python Backend Developer Engineer AWS will have experience in AWS services, particularly Lambda and demonstrate a solid understanding of cloud-based integrations and microservices architecture. Experience in core Python and the Flask framework and coding fundamentals/coding tasks. REST APIs and writing unit test cases, showing good familiarity with Back End development practices. Relevant exposure to CI/CD processes, which supports development automation and delivery workflows. What You'll Do: • Play a part in building great experiences for our customers, continuously improving the quality and value of our products, • Collaborate with cross-functional teams to design and implement innovative solutions, • Develop and maintain Back End systems to ensure seamless operation, • Dive into our tech stack, exploring new tools and technologies to drive continuous improvement, • Troubleshoot and debug complex issues to ensure optimal performance and reliability, • Strong understanding of AWS cloud infrastructure, with proficiency in Python for Back End development, • Experience with Web Services, Microservices & APIs, • Able to work in an Agile development environment with continuous integration, • Confident working with Data intensive applications, • A fearless attitude towards tackling challenges across the entire stack, • A passion for learning and staying up-to-date with the latest technologies and industry trends

Job Title - Senior Backend Software Engineer/Platform Engineer (API & Cloud) Hybrid role - Edinburgh or London, 2 days per week onsite (flexible) Role Summary A hands-on Back End engineer responsible for designing, building, and operating secure, scalable APIs and Back End services in cloud-native environments. The role centres on API development using modern API gateways on AWS or GCP, applying API standards, DevSecOps, and industry best practices, and delivering solutions within SCRUM agile ways of working. Apigee experience is an advantage. Key Responsibilities • Design, develop, and maintain Back End services and APIs (REST and event-driven)., • Build and operate APIs and MCPs using Apigee Hybrid/X., • Apply API standards and industry best practices for design, versioning, security, documentation, and life cycle management., • Embed DevSecOps practices across CI/CD pipelines and runtime environments., • Design and implement secure service-to-service integrations using MCP, A2A, and AP2 protocols., • Contribute to Back End integrations involving LLM-enabled or AI-driven systems, where applicable., • Deploy, monitor, and support production services on AWS or GCP., • Strong hands-on Back End development experience (Java, Python, or Node.js)., • Proven API development experience using an API gateway platform., • Production experience with at least one cloud platform: AWS or GCP., • Practical DevSecOps experience, including CI/CD, infrastructure as code (Terraform), and automated security controls., • Strong understanding of cloud networking concepts (VPCs, subnets, routing, load balancing, private connectivity)., • API standards and industry best practices, including:, • RESTful API design and OpenAPI specifications, • API security (OAuth 2.0, OpenID Connect, mTLS), • Secure-by-design, zero-trust, resilience, and fault-tolerant patterns, • MCP, A2A, and AP2 protocols, including their use in secure, distributed integrations, • LLM concepts and integration patterns, including API-based interaction models and security considerations, • Experience with Apigee (Hybrid/X) beyond basic consumption, • Experience with Kubernetes and containerised platforms, • Experience in regulated or large-scale enterprise environments, • Exposure to platform engineering or internal developer platforms

Lead AI-Enabled DevOps Engineer Technical leadership at the intersection of software, platforms, and AI We're seeking a Lead AI-Enabled DevOps Engineer to join a growing engineering capability and play a central role in shaping how AI is embedded into real, production-grade software systems. This is not a traditional people-management role. Instead, you'll lead through technical depth, architectural judgement, and delivery experience by setting direction, guiding teams, and making informed decisions as AI capabilities are integrated into modern software platforms. If you enjoy working where architecture, APIs, DevOps, and AI meet, and you care about building systems that are secure, operable, and genuinely useful, this role offers the chance to have real impact. What you'll be doing Your focus will be on enabling AI within modern, API-first software platforms, particularly where legacy or existing systems need to evolve to support new capabilities safely and effectively. You will: • Provide technical leadership across AI-enabled software and DevOps engineering teams, • Set architectural direction for API-first design, system integration, and platform enablement for AI, • Lead the modernisation of legacy or existing applications toward service-based, API-driven architectures, • Define and guide integration patterns between applications, platforms, and AI services, • Make pragmatic decisions about when and how emerging AI integration approaches (e.g. protocols such as MCP) should be adopted, • Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions, • Ensure solutions meet standards for security, resilience, performance, and operability, • Anticipate and manage architectural and operational risks associated with AI-enabled systems, • Champion strong engineering practices across software development, DevOps, and platform engineering Essential experience: • Strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer, or similar hands-on leadership role, • Excellent software engineering fundamentals: system design, clean code, testing, and long-term maintainability, • Deep experience designing and delivering API-driven and microservice-based systems, • Proven ability to modernise or integrate legacy systems into modern platforms, • Solid development experience in TypeScript and Python, • Experience spanning software delivery, CI/CD, infrastructure, and operations, • Comfortable setting direction and influencing teams without relying on formal authority, • Integrating software systems with AI platforms or AI-enabled services, • Exposure to emerging AI integration patterns or protocols (e.g. Model Context Protocol), • Platform engineering or DevOps at scale, • Experience working in regulated or security-conscious environments, • Defining technical standards or architectural direction across multiple teams You'll be trusted to make decisions that matter, and supported by teams who value strong engineering leadership. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Playrix — одна из самых успешных компаний по разработке мобильных игр в мире. По доходам среди всех мобильных приложений мы входим в топ-3 в мире, а в Европе мы первые. Наши игры установили 2,3 миллиарда раз (треть населения Земли), каждый день в них играет более 30 миллионов людей по всему миру! У нас большие планы на развитие и рост наших проектов, именно поэтому мы ищем сильнейших экспертов в наши команды разработки. Если ты работаешь с Unity, но хотел бы попробовать свои силы в С++, мы готовы тебе помочь. Команды разработки для нас - ядро компании, благодаря которому наши игры растут и развиваются уже 21 год. Lead Software Engineer – драйвер технического развития продукта, который ведет и развивает команду с точки зрения архитектуры, качества, культуры разработки и инженерных практик. В каждом проекте у нас есть основные направления: • Фичевое: разработка событий и мини-игр с нуля (от различных соревнований до мини-игр типа Merge);, • Техническое: оптимизация, поддержка технической стабильности, SDK (сокращение скорости загрузки, потребление памяти и др.);, • Match-3 и мета: работа с графикой и основной механикой игры (добавление нового функционала, рефакторинг и оптимизация). Задачи, которые предстоит решать: • People management: ответственность за развитие, найм/увольнение, оценку команды;, • Развитие процессов внутри команд (как на уровне команды, так и на уровне всей разработки на проекте);, • Продюсирование: решение сложных технических проблем на проектах, разработка архитектуры решения и обеспечение быстрой реализации;, • Контроль стабильности и качества программной части игры;, • Code review и design review;, • Программирование и рефакторинг игровой логики. Наш стек: • Языки: С++, для единичных задач Lua и Python;, • Графика: OpenGL ES и Metal;, • Собственный движок, похожий на Unity или Unreal, который мы постоянно развиваем (___);, • Продвинутый CI/CD, автоматическое тестирование, процессы code review и многое другое;, • AI-ассистенты: используем Cursor для автоматизации и ускорения разработки (от рутинных задач до планирования и декомпозиции). Мы ожидаем: • Опыт разработки коммерческих проектов на С++ и/или Unity не менее 3 лет,, • Опыт разработки проектов, выпущенных в production;, • Опыт управления командой программистов (3+ человек) не менее года. Будет плюсом: • Уверенное владение современными стандартами С++ 14/17, а также STL;, • Опыт работы с популярными игровыми движками (Unity, Unreal, Godot, Cocos2D, Defold и т.д.);, • Опыт работы с AI-помощниками для разработки (Cursor, Copilot и др.);, • Опыт разработки мобильных казуальных игр. У нас классно, потому что у нас есть: • Открытая коммуникация и прозрачность в принятии решений, обмен опытом внутри команд., • Фокус на качестве и надежности кода., • Упор на развитие продуктового видения у каждого специалиста в компании. Наши разработчики представляют, как та или иная фича будет работать у пользователя, и сами играют в игры, которые разрабатывают., • Возможность менять процессы и подходы на более эффективные без долгих согласований и бюрократии., • Понятные возможности развития в технического директора, программинг менеджера или проджект менеджера., • Мы активно используем Cursor и другие AI-инструменты в процессе разработки — у тебя будет возможность работать на переднем крае технологий, делиться опытом и формировать лучшие практики их применения. Мы предлагаем: Гибкость в работе: Для большинства позиций у нас гибкий график и удалённый формат работы. Мы ориентируемся на результат, а не на место или способ выполнения задач. Забота о здоровье и well-being: • Предоставляем ДМС для сотрудников и их детей, компенсируем онлайн-сессии с психологом., • Сохраняем 100% зарплату во время отпуска или больничного без лишних справок. А для особых случаев предоставляем дополнительные выходные., • Оплачиваем участие в профильных конференциях и курсах, проводим внутренние конференции., • Регулярно проводим развлекательные и рабочие мероприятия в офлайн-режиме: встречи команд, крупные корпоративные вечеринки и более лайтовые пати в офисах., • Также регулярно проводим развлекательные конкурсы, квизы, хакатоны, спортивные челленджи в режиме онлайн., • Собственный магазин мерча с внутренней валютой, где можно купить уникальные подарки. Валюту дарим на значимые даты, также ее можно заработать, участвуя в мероприятиях и брендовых активностях. Отправляя отклик на нашу вакансию, вы соглашаетесь, что ваши персональные данные, собранные во время собеседований в Playrix, будут обрабатываться в соответствии с условиями (___). Вы можете отправить запрос в отношении ваших персональных данных по адресу: .

Entity: Technology Job Family Group: IT&S Group Job Description: Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner. We are growing our digital capabilities at bp, and we're looking for a Software Engineer who is excited to shape the future of energy through technology. In this role, you will deliver features that will be used by teams throughout the business, help other teams adopt modern engineering standards, and help us deliver software that powers bp's global operations. You'll join a team that values curiosity, collaboration, and continuous learning, and you'll have the opportunity to influence how we design, build, and operate our digital products. As a Software Engineer, you’ll contribute hands-on to building, improving, and operating reliable software while collaborating closely with your team and stakeholders. In this role, you will: • Contribute to the design and implementation of scalable, secure, and resilient software solutions., • Work with your tech leads to deliver on team priorities aligned with bp’s broader strategy., • Collaborate with other engineering teams across bp to help adapt and integrate their solutions with the Yalla stack., • Write high-quality, production-ready code in languages such as C#, Python, Java, or Go, and be willing to learn new technologies when needed., • Work closely with product managers, designers, and fellow engineers to build solutions that make effective use of the Yalla stack., • Implement and deliver changes to our platform in a timely and reliable manner., • Follow and uphold established software engineering standards and best practices across bp., • Develop, maintain, and improve CI/CD pipelines to support reliable and repeatable releases., • Support configuration and release processes to ensure smooth and predictable deployments., • Share knowledge with teammates, support other engineers when appropriate, and contribute positively to a collaborative team culture., • Design, implement, and optimize relational databases and data models in support of application needs., • Support live services by improving monitoring, reliability, and responding to incidents when required., • Participate in system design discussions, providing input and feedback under the guidance of senior engineers., • Apply secure coding practices and follow bp’s information security policies and standards., • Contribute to delivery planning, progress tracking, and execution of digital initiatives within your team. We're looking for someone who enjoys solving meaningful technical problems and working collaboratively with others. You'll thrive in this role if you have: • Experience working as a Software Engineer on production systems, with growing technical ownership of your work., • A solid understanding of Agile development and modern software engineering practices., • A collaborative mindset and the ability to communicate clearly with engineers, product managers, and other stakeholders., • Hands-on experience with CI/CD pipelines, build automation, or release processes., • Practical experience designing and working with relational databases and data models., • Proficiency in at least one common high-level programming language (e.g. Java, C#, Python, Go, JavaScript, TypeScript), with exposure to or interest in learning others., • Familiarity with container-based development (e.g. building, running, or deploying containerised applications)., • An understanding of secure software development principles and how to apply them in day-to-day coding., • Experience contributing to production-ready systems, including logging, monitoring, and reliability considerations., • The ability to participate in system design discussions and understand architectural trade-offs, with guidance from senior engineers., • Experience using Git-based source control and working with common branching strategies. Travel Requirement No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more} Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please ___. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

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

Job Title: Bio Machine Learning Engineer Location: Near London (Hybrid, 2 days onsite) Salary: Up to £90,000 Company: Stealth Biotech Startup (Series A) About the Company This early-stage biotech startup is building next-generation AI platforms to accelerate drug discovery and precision medicine. Backed by top-tier VC, they combine cutting-edge machine learning with experimental biology to unlock new therapeutic pathways across oncology and rare diseases. Their team works across computational biology, machine learning, and wet-lab science -working closely to turn complex biological data into real-world clinical impact. The Role They are looking for a Bio Machine Learning Engineer to help design and deploy models that make sense of high-dimensional biological data. The successful candidate will work alongside bioinformaticians, software engineers, and lab scientists to build scalable ML systems that directly influence the discovery pipeline. This is a hands-on role with ownership - from prototyping models to productionising them in a fast-moving start-up environment. What You’ll Be Doing • Develop and deploy machine learning models on biological datasets (e.g. genomics, transcriptomics, proteomics), • Build pipelines for processing and analysing large-scale biological data, • Apply deep learning techniques (e.g. transformers, graph neural networks) to biological problems, • Collaborate with wet-lab teams to translate experimental data into actionable insights, • Optimise models for performance, scalability, and real-world usability, • Contribute to the design of their ML infrastructure and tooling stack What They’re Looking For • 4+ years experience in machine learning, data science, or AI engineering, • Strong Python skills (NumPy, Pandas, PyTorch/TensorFlow), • Experience working with biological or biomedical data (industry or academia), • Solid understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, etc.), • Familiarity with cloud platforms (AWS, GCP, or Azure), • Ability to work in a cross-functional, fast-paced startup environment Nice to Have • Background in bioinformatics, computational biology, or related field, • Experience with genomics pipelines or tools (e.g. FASTQ, BAM, variant calling), • Knowledge of protein structure modelling or drug discovery workflows, • Exposure to MLOps, deployment, and production systems, • Publications or open-source contributions in relevant domains Why Join Them • Opportunity to work on genuinely impactful problems in healthcare and life sciences, • Early-stage equity with strong growth potential, • Collaborative, mission-driven team with deep technical expertise, • Flexible hybrid working (London / Cambridge), • Chance to shape both the product and engineering culture How to Apply For more information or to apply, please get in touch with me or used LinkedIn EasyApply.

Affinity Labs: Full Stack Engineer Location: London Area, United Kingdom · On-site Company Description At Affinity Labs, we’re building a full-stack AI venture studio that partners with content creators to co-found authentic, scalable software businesses. By combining AI-native development with creator-led distribution, we're pioneering a new model of monetisation by rapidly building, launching, and scaling digital ventures alongside with creators and their audiences. We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship. Why Affinity Labs: Ship at rapid pace with AI-accelerated workflows, see your work distributed to tens of thousands of users at launch, and compound impact across multiple products, not just one. Role Description You’ll lead end-to-end product engineering across our portfolio: scoping features, designing APIs and data models, building backend services, and shipping polished user-facing experiences across web and mobile. This is an early-stage, hands-on role with significant autonomy and responsibility. You will own full-stack product delivery, from infrastructure and AI integrations through to React / React Native interfaces, collaborating closely with founders, creators, product, and design to turn lean specs into scalable, user-loved software. We’re looking for a strong generalist with backend depth and real mobile experience. Responsibilities • Implement features end-to-end (mobile + web frontend → APIs → data models → integrations) while maintaining quality and velocity., • Build React Native mobile apps and shared component systems across products., • Design and ship scalable backend services (APIs, integrations, AI workflows)., • Run tight build → test → iterate → ship loops; provide realistic estimates and surface blockers early., • Manage tech debt pragmatically, • Participate in daily standups and weekly planning; contribute to technical strategy and execute from Linear tickets., • Contribute meaningfully to product and architecture discussions; be heard in debate and align to unified decisions., • Own operability: CI/CD, monitoring/alerting, performance optimisation, safe rollbacks., • Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails)., • Help evolve our reusable product templates and shared architecture across the portfolio. Essential Requirements • 3-6+ years building production-grade full-stack applications, with clear ownership., • Strong backend experience in Python (FastAPI preferred) and solid database skills (PostgreSQL/MongoDB)., • Proven experience building and shipping mobile apps with React Native., • Strong React fundamentals (Next.js experience a plus)., • Solid API design and systems thinking., • Familiarity with AWS serverless patterns and Docker; basic CI/CD concepts., • Comfortable with Redis (caching/sessions) and queue/messaging patterns., • Startup mindset: high ownership, comfort with ambiguity, bias toward shipping., • Growth mindset & flexibility: open to feedback; not rigid about stack/tools., • Clear communicator & collaborator; able to guide product decisions from engineering perspective., • Evidence of shipping quickly in small teams (links to apps, repos, case studies, live products). Desired • Node.js alongside Python for services or integrations., • App Store / Google Play release experience., • Experience with vector databases (e.g., Chroma) and embedding pipelines., • LangChain or CrewAI for orchestration; MCP servers for integrations., • Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics., • Planning & execution in Linear (or similar). Tools & Stack • Backend/Runtime: Python (FastAPI), Node.js., • Frontend: React/Next.js, • Mobile: React Native, • Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions)., • Vectors/Embeddings: Chroma (or similar)., • AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio)., • AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot / Claude Code., • Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Competencies & Behaviours • Communicates clearly with technical and non-technical teammates., • Takes ownership from concept to deploy and through maintenance., • Thinks in systems + design for reuse across a portfolio., • Balances technical excellence with pragmatic delivery to meet business needs., • Adapts quickly to changing requirements and emerging tech; applies AI learnings., • Sets clear goals, tracks progress, and hits commitments; collaborates across disciplines. Why this role is a career launchpad • Own the code & the company. You step in as a Founding Engineer with a meaningful equity stake from day one., • Ship faster with AI at your side. Our workflow bakes in AI so you spend your time solving real problems—not boilerplate., • Ride a rocket. Our wider vision is big and the bar is high; we need driven people who can help us achieve an ambitious roadmap., • Grow like crazy. You’ll architect, build, and launch multiple products each year. The shipping reps you’ll get in 12 months here would take 3–4 years in a typical startup. There’s a lot of work, it’s high intensity, and the expectation is to ship extremely quickly., • Learn from builders, not bosses. Work shoulder-to-shoulder with a team that has scaled VC-backed startups, closed multi-million-pound term sheets, and collaborated with 1,000+ creators across formats and categories.

Senior Python Software Engineer Permanent | UK Remote + Travel We’re hiring a Senior Python Software Engineer to join a globally distributed engineering team working on cutting-edge AI-driven digital solutions for major enterprise organisations. This is a permanent, full-time position for UK-based candidates. While the role is primarily remote, it involves regular travel to client sites across the UK and Europe, with all travel expenses covered. About the Company They are a globally distributed team of engineers, data specialists, and designers focused on building modern digital platforms and intelligent software solutions for enterprise clients. Their teams partner with organisations to modernise legacy systems, develop innovative digital products, and implement AI-powered technologies that deliver real business impact. We pride ourselves on combining deep technical expertise with a collaborative, people-first approach to engineering. With a presence across multiple countries, our engineers work closely with clients to solve complex technical challenges and deliver scalable, high-performance applications used by millions of users worldwide. The Role • As a Senior Python Engineer, you will play a key role in designing and building scalable applications, often incorporating modern AI frameworks and data-driven technologies, • You’ll work alongside experienced engineers, architects, and client stakeholders to deliver robust solutions in fast-moving project environments, • This role suits someone who enjoys technical ownership, solving complex problems, and collaborating closely with both internal teams and client organisations Key Responsibilities • Design, develop, and maintain Python-based applications, • Contribute to technical design, architecture, and engineering best practices, • Build scalable data storage and processing solutions, • Optimise application performance for speed, scalability, and reliability, • Translate complex business requirements into technical solutions, • Collaborate with engineers, technical leads, and client teams, • Contribute to source control, build, and deployment standards, • Gather feedback from stakeholders and continuously improve solutions, • Support project delivery alongside technical leadership What We’re Looking For • 8+ years of commercial software engineering experience, • Strong expertise in Python and modern AI frameworks, • Experience building AI-powered applications or working with agent-based frameworks (e.g., LangGraph, Agentspace, or similar), • Strong understanding of Git and version control workflows, • Experience with unit, integration, and end-to-end testing, • Hands-on experience with cloud platforms and database technologies, • Familiarity with CI/CD pipelines and automation practices Nice to Have • Experience with Golang, • Frontend experience with React, • Knowledge or hands-on experience with Kubernetes Please note: visa sponsorship is not available for this role. If this role sounds of interest please apply asap with your most recent CV.

GenAI Full Stack Engineers (Multiple Hires) • Location: London (Hybrid, 2 days per week in office), • Salary: £55,000 to £85,000 + Bonus + Benefits, • Type: Permanent, • Hiring: Mid Level and Senior Engineers About the Company We are partnering with a leading digital transformation and technology consultancy that helps organisations solve complex business challenges through cutting edge technology, AI and data driven solutions. This is an exciting opportunity to join a growing team focused on building next generation Generative AI applications and scalable full stack solutions. Due to continued growth and project demand, we are hiring multiple engineers across mid level and senior positions. Salary Bands • Mid Level GenAI Full Stack Engineer: £55,000 to £70,000, • Senior GenAI Full Stack Engineer: £75,000 to £85,000 + £4,000 Bonus The Role As a GenAI Full Stack Engineer, you will play a key role in designing, building and scaling AI powered applications. You will work across the full development lifecycle from proof of concept through to production deployment, delivering innovative solutions for complex client challenges. You will build Generative AI proof of concepts using modern frameworks and scale prototypes into production ready applications. You will design and develop full stack applications across both GenAI and traditional software projects while working closely with cross functional teams. Senior engineers will also contribute to architecture decisions, mentor junior engineers and help shape best practices across the engineering team. Required Skills and Experience • Backend development using Python with FastAPI or TypeScript with Node.js or Express, • Experience building microservices architectures, • React and TypeScript front end development experience, • Familiarity with Next.js or Vite, • Experience with Generative AI frameworks such as LangChain, LangGraph or CrewAI, • Experience working with Large Language Models such as OpenAI, Anthropic, Llama or Mistral, • Exposure to Retrieval Augmented Generation or AI agents is beneficial, • Experience with AWS or Azure, • Docker and containerisation experience, Kubernetes beneficial, • Experience with CI CD pipelines using GitHub, GitLab or Jenkins For Senior Candidates • Experience leading technical delivery or owning solutions end to end, • Experience contributing to architecture and engineering decisions, • Mentoring or supporting junior engineers, • Experience delivering production grade GenAI applications Eligibility • Must be eligible to work in the UK, • Must be eligible for UK Security Clearance This is a fantastic opportunity to join a fast growing team working on cutting edge Generative AI solutions with strong career progression opportunities at both mid and senior level. Apply now to learn more.

Senior Full Stack Developer 12-Month Fixed-Term Contract | Hybrid Working (2 Days per Week in London) Competitive Salary plus generous pension and holidays A prestigious client is seeking an experienced Senior Full Stack Developer to join a high-performing technology team delivering innovative AI and automation solutions at scale. This is an exciting opportunity to work on a modern, cloud-native platform using cutting-edge technologies across backend services, integrations, and user-facing applications. You'll play a key role in shaping engineering standards, influencing technical direction, and delivering high-quality software within a collaborative Agile environment. The Role As a Senior Full Stack Developer, you will focus primarily on backend engineering using Go, while also contributing to modern React-based frontend applications. You'll work closely with developers, architects, and product teams to build scalable, secure, and observable solutions deployed through Kubernetes-based infrastructure. This is a hands-on senior engineering role ideal for someone who enjoys solving complex technical challenges, mentoring others, and driving best practice across software delivery. Key Responsibilities • Design, develop and maintain scalable backend services in Go, • Build modern frontend applications using React, • Develop APIs, integrations and event-driven services, • Contribute to CI/CD pipelines and cloud-native deployments, • Review code and champion engineering best practices, • Improve application performance, observability and reliability, • Collaborate within Agile delivery teams across multiple projects, • Support technical decision-making and continuous improvement Skills & Experience We are looking for candidates with strong commercial experience in: • Go / Golang backend development, • Full stack software engineering within Agile environments, • REST APIs, integrations and distributed systems, • React and modern frontend development, • CI/CD, Git and cloud-based delivery practices, • Docker and Kubernetes, • Code reviews, testing and engineering governance Experience with any of the following would be highly advantageous: • Microsoft Azure, • Python, • GitOps tooling (Argo CD / Flux), • Observability tooling (Prometheus, Grafana, OpenTelemetry), • AI/LLM-enabled applications, • Event-driven architectures and messaging platforms What's on Offer • Opportunity to work on cutting-edge AI and cloud-native technologies, • Hybrid working model with flexibility, • Collaborative, forward-thinking engineering environment, • High-profile programme of work with real organisational impact, • Competitive salary and benefits package If you are a passionate senior engineer looking for your next challenge within a modern technology environment, we would love to hear from you. Please send you CV to Laura at lramm@:itecopeople.co.uk Services Advertised are those of an employment agency

Applied AI Solution Engineer £80,000-£120,000 + Benefits Depending on Experience London with Flexible Working Are you passionate about building cutting-edge AI solutions that drive real business impact? Do you want to work with some of the world’s leading AI technologies? Our client helps enterprises harness the power of Generative AI—from crafting meaningful strategies to deploying production-ready AI solutions. As a Applied AI Solution Engineer, you'll be at the forefront of this revolution. What you’ll do: ✅ Work hands-on with Python, microservices, distributed systems, and LLMs ✅ Shape AI strategy, mentor engineers, and drive innovation across multiple projects ✅ Engage directly with senior stakeholders, explaining complex AI concepts in clear terms What we’re looking for: enterprise software development experience A track record of delivering scalable AI solutions Proven Experience in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and prompt engineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client Engagement – Comfortable working with both technical and non-technical stakeholders Team Leadership & Mentorship – Can guide teams, translate high-level ideas into action plans, and drive innovation

Senior Consulting Engineer - Forward Deployed London | Hybrid / client-site as needed | Active SC clearance required I’m supporting a fast-growing data and AI consultancy, founded by ex-Palantir engineers, as they build out a team of SC-cleared Consulting Engineers across data, software and client-facing delivery. This is not a traditional data engineering role. It sits across data engineering, software engineering and technical consulting, working directly with clients across public sector, defence and national security. You’ll be helping organisations make sense of complex data, build practical workflows and applications, and turn technical ideas into tools that genuinely get used. What you’ll be doing: • Working across Python, SQL, PySpark and modern data tooling, • Building data pipelines, workflows and user-facing applications, • Working directly with clients to understand problems and shape solutions, • Translating complex technical work into clear demos and stakeholder updates, • Using Palantir Foundry/AIP where relevant, although previous Palantir experience is not essential, • Contributing to internal product ideas and reusable engineering assets What they’re looking for: • Strong experience in data engineering, software engineering or technical consulting, • Good hands-on ability with Python, SQL and data workflows, • Exposure to PySpark, Spark, ETL, data platforms or application development, • Comfortable working with clients, users and non-technical stakeholders, • SC clearance, active., • Experience in defence, national security, public sector or other complex environments would be highly relevant, • Palantir Foundry, Gotham or AIP experience would be a strong advantage, but is not required This would suit someone who enjoys solving messy problems, working close to the user and building things quickly rather than sitting far away from the outcome. For more information, apply here or message me directly.

Data Engineer - Insurance £80,000 1 Year FTC London Based - 2/3 days in Office We’re looking for a Mid Data Engineer to help design, build, and operate scalable, reliable, and high-quality data infrastructure across a modern Microsoft-based data platform. This role sits at the intersection of software engineering and data management, ensuring that data flows seamlessly from source systems into analytics-ready structures that power insight, reporting, and decision-making across the organisation. You’ll play a key role in shaping how data is built, trusted, and consumed—working closely with business domains, analysts, data scientists, and platform engineers. Data Engineering & Pipelines • Build and maintain robust ETL/ELT pipelines using Microsoft Fabric (Data Factory, Lakehouse, etc.), • Design reliable ingestion processes from APIs, databases, and file-based sources, • Apply best-practice pipeline design patterns for resilience and re-runnability Data Modelling & Analytics Enablement • Design analytical data models that are performant, maintainable, and business-friendly, • Apply dimensional modelling techniques for BI and reporting use cases, • Build and optimise Power BI semantic models and datasets Microsoft Data Platform • Contribute to the evolution of a modern Azure/Microsoft data platform, • Optimise pipelines for performance, scalability, and cost efficiency, • Work confidently across cloud data storage and compute services Data Mesh & Domain Ownership • Support domain-oriented data product development in partnership with business teams, • Promote standards for naming, metadata, documentation, and discoverability, • Enable decentralised data ownership while maintaining consistency Experience • Proven experience as a Data Engineer in a modern cloud data environment, • Strong SQL skills (complex queries, joins, optimisation), • Hands-on Python for data processing and pipeline development, • Experience with Microsoft Fabric and Power BI (datasets, semantic models), • Understanding of data modelling for analytics and reporting, • Familiarity with CI/CD, testing, version control, and data quality practices, • Exposure to data mesh / domain-oriented data ownership (desirable)

Managing Engineer – Forward Deployed Level: Senior / Manager Location: London (hybrid, client-site as required) Salary: Up to £85,000 depending on experience About the Role Our client is a specialist data and AI consultancy focused on delivering real-world impact through advanced data platforms and AI. Now part of a global consulting organisation, they partner with major public and private sector institutions to solve complex, mission-critical problems. This is a leadership role within delivery. You will own client relationships, lead engineering teams, and be accountable for delivering high-impact data and AI solutions in live operational environments. The role combines hands-on engineering with team leadership and client advisory, with a strong emphasis on ownership, pace, and outcomes. What You’ll Be Doing • Owning end-to-end delivery of complex client problems, from architecture through to deployment, • Leading and managing a team of engineers, setting direction, maintaining standards, and driving output, • Designing and delivering data solutions across platforms, including low/no-code tooling and code-based approaches (Python, PySpark, SQL), • Overseeing the development of user-facing applications and workflows using TypeScript and React, • Acting as the primary client interface, shaping requirements and translating technical solutions into business impact, • Embedding AI capabilities into operational systems using modern AI tooling, • Driving iterative delivery cycles, ensuring rapid build, demo, and refinement loops with stakeholders, • Feeding project learnings back into internal product development to create reusable assets and IP, • Leading from the front in a collaborative engineering culture, contributing to knowledge sharing and capability uplift Ideal Background • 6+ years’ experience in software engineering, data engineering, or full-stack development, • Strong proficiency across multiple languages, including Python and SQL, with exposure to TypeScript and/or React, • Deep understanding of data engineering principles, including ETL pipelines, distributed processing, and data architecture, • Experience working in client-facing or consulting environments, with ownership of stakeholder relationships, • Proven ability to lead and develop engineering teams in delivery-focused settings, • Exposure to Palantir (Foundry, Gotham, or similar) or comparable data platforms is strongly preferred, • Strong communication skills, with the ability to influence senior stakeholders and simplify complex topics, • High level of ownership, accountability, and comfort operating in ambiguous, fast-moving environments What You’ll Receive • Ownership of high-impact projects across defence, public sector, and critical infrastructure, • Leadership responsibility with clear progression into more senior roles, • Exposure to cutting-edge data platforms and AI technologies, • A high-performance, low-ego engineering culture with strong collaboration and visibility, • Opportunities to shape internal products and contribute to long-term IP development, • Competitive salary, bonus, and benefits package Who Should Apply This role suits experienced engineers who have moved beyond individual contribution and are now leading teams and owning delivery. It is a strong fit for individuals who combine technical depth with client-facing capability and want to operate in environments where their decisions directly impact outcomes. A senior, client-facing engineering leadership role combining hands-on delivery, team management, and ownership of complex data and AI programmes in high-stakes environments.

At Sahaj Software, we’re not just shipping pipelines - we’re designing purpose-built data platforms that solve complex challenges for some of the UK’s most forward-thinking organisations. We believe in craftsmanship, autonomy, and trust. No hierarchies and no bureaucracy, just small teams solving big problems with modern tech. Why this role? Working as a Lead Data Engineer, you’ll own the design and delivery of scalable data platforms, pipelines, and architectures that power real business decisions. You’ll work closely with data scientists, engineers, and stakeholders to transform messy data into clean, reliable, and production-grade systems. This is a hands-on, high-impact role where you’ll influence technical direction while staying close to the code. Perfect if you want scope for growth without going “post-technical.” What you’ll do • Design and build modern data platforms using Databricks, Apache Spark, Snowflake, and cloud-native services (AWS, Azure, or GCP)., • Develop robust pipelines for real-time and batch data ingestion from diverse and complex sources., • Model and optimise data for performance, visibility, and downstream analytics/ML use cases., • Champion best practices: CI/CD, TDD, GitOps, observability, schema validation, and data quality., • Collaborate with data scientists and ML engineers to deploy production-grade AI/ML systems., • Guide clients on data strategy, architecture, and platform modernisation., • Mentor and influence engineers across Sahaj, helping grow our collective data engineering capability. What we’re looking for • Must have solid experience as a Senior/Lead Data Engineer in complex enterprise environments., • Can demonstrate strong coding skills in Python (Scala or functional languages a plus)., • Expertise with Databricks, Apache Spark, and Snowflake is a must (HDFS/HBase also useful)., • Has experience integrating large, messy datasets into reliable, scalable data products., • Strong understanding of data modelling, orchestration, and automation., • Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes)., • A craftsman’s mindset: you care about code quality, maintainability, and doing things the right way. What you’ll get at Sahaj • Unlimited annual leave – we trust you to manage your time., • Open salaries & stock options – transparency from the ground up., • Private health & life insurance – covered by us., • Flat structure, no hierarchy – you own your work, and your voice counts.

Location: New York or London Salary: 200-500k usd Summary A multi-strategy hedge fund focused on delivering consistent returns through innovative trading strategies, robust risk management, and cutting-edge technology. As they scale, they're seeking a pragmatic Linux Engineer to join a successful and growing team. In this pivotal role, you will architect and execute strategic changes to the Linux environment as well as oversee maintenance of that environment. Your main responsibility will be supporting the fund's expansion, including new trading types, locations, and deployment mechanisms for software teams. Additionally, you'll also ensure low-latency trading applications run seamlessly across the global network of co-location sites. Requirements • 5+ years' hands-on Linux experience, with exposure to both Debian and RHEL preferred, • Expertise in performance analysis and kernel tuning, particularly as it relates to low-latency systems, • Ability to use Python and Ansible to fully automate deployment, with knowledge of Nix/NixOS a plus, • Working knowledge of networking, storage, and clustering technologies, • Bachelor's degree in Computer Science (or related field), • Competitive base salaries and performance-based bonuses, • Very collaborative culture, ideas are implemented, • Work with passionate, forward-thinking, incredibly smart people Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If you feel you are a strong match for this role, please don't hesitate to get in touch: Dominic Copsey +44 (0) 203 475 7193 linkedin.com/in/dom-copsey-586478143/

Senior Software Engineer – Data Engineering Contract duration:- 6 months initially (with extension available for the right person) Location:- London EC4 Hybrid working:3 days per week in office + 2 days WFH Rate: £650 inside IR35 Join our Data Engineering team at the heart of a quantitative investment firm, powering the infrastructure which drives our systematic trading strategies and cutting-edge discretionary research. You’ll help architect a multi-petabyte scale estate, processing billions of datapoints daily from thousands of data sources. Our stack combines Java and Python, with foundations of Kafka, ArcticDB, MongoDB, and more. What you bring to the role • Experience working with large scale messaging and downsampling solutions, • Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics, • 5-7 years of professional experience in software engineering with Java or Python as your primary language and knowledge of both, • Proficient on Linux platforms and strong understanding of Git, • Deep knowledge of one or more relevant database technologies such as Iceberg, Postgres, or MongoDB, • Strong problem-solving skills and attention to detail, • Strong communication and collaboration abilities, • Ability to work independently and gather requirements from stakeholders Advantageous to have • Familiarity with distributed systems and orchestration, • Experience with performance optimization and large-scale data processing, • Contributions to open-source projects, • Experience working with Large Language Models (LLMs)

Salary: £600k-800k TC Location: London Client & Role Overview My client is a globally recognised hedge fund at the forefront of systematic and low-latency trading. They're looking for a Team Lead Quant Developer to drive the technical direction of a core team building low-latency execution and trading systems. This role is ideal for someone who wants strategic influence without losing technical depth. You'll mentor and guide a small team while staying hands-on with system design, optimisation and delivery. Your work will directly impact execution performance across global equities and futures markets. If you enjoy ownership, technical leadership and solving complex, real-time engineering problems, this is a standout opportunity. Skills & Experience Required • 12+ years of software development experience, • 7+ years in front-office trading or financial systems, • Proven technical leadership (team lead or principal engineer), • Expert C++ skills with strong multithreading and async experience, • Strong background in data structures, algorithms and object-oriented programming, • Linux internals and networking expertise, • Competitive salary, • Influence both people and architecture, • Work in a genuinely elite, performance-driven environment Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If you think you are a strong candidate for the role and would like further info, please contact: Gracie Shallcross linkedin.com/in/gracie-shallcross-2450061b6

Key Responsibilities • Design, develop, test, and support robust, production-ready software solutions, adhering to modern engineering best practices., • Build and maintain microservices-based systems, with a strong focus on scalability, resilience, and performance., • Develop and optimise scalable data pipelines, supporting both batch and streaming workloads, using technologies such as Apache Spark., • Work extensively with data technologies, leveraging Python and SQL to deliver high-quality analytical and data-driven solutions., • Lead the design and delivery of data-centric applications, translating complex business and analytical requirements into well-architected technical solutions., • Implement and integrate large language models (LLMs), including:, • Utilising both proprietary and open-source models, • Fine-tuning models to meet specific business use cases, • Delivering solutions via APIs, such as OpenAI APIs, • Collaborate closely with product managers, data scientists, and engineering peers to shape technical designs and delivery approaches., • Apply strong problem-solving and analytical skills to diagnose issues, optimise performance, and improve overall system reliability., • Demonstrable hands-on experience developing production-grade backend systems., • Proven experience designing and implementing microservices architectures, ideally within cloud environments., • Strong background in data engineering, including building and maintaining large-scale data pipelines., • Advanced proficiency in Python and SQL., • Practical experience working with large language models, including model fine-tuning and API-based integrations (e.g. OpenAI)., • Experience in solution and system design, particularly for data-driven and analytical platforms., • Solid understanding of core software engineering principles, including version control, automated testing, and deployment pipelines., • Experience working with major cloud platforms such as AWS, Azure, or GCP., • Familiarity with containerisation and orchestration technologies (e.g. Docker, Kubernetes)., • Exposure to MLOps practices or deploying AI/ML models into production environments., • Experience working in agile or fast-paced delivery teams.

Senior Software Engineer – AI / Agentic Systems London (Hybrid) We’re partnering with a cutting-edge AI startup redefining how intelligent systems operate at scale. Their mission is ambitious: to push the boundaries of agentic AI and build platforms that automate complex, multi-step human workflows—unlocking entirely new levels of productivity. This is an opportunity to join early, work alongside world-class AI talent, and directly shape a platform sitting at the intersection of research and real-world deployment. The Opportunity As a Senior Software Engineer, you’ll play a key role in building and scaling an enterprise-grade AI platform. You’ll operate at the core of the product engineering function—designing systems that power autonomous agents, orchestrate workflows, and enable observability at scale. This is not just another backend role. You’ll influence architecture, mentor engineers, and help define the technical direction of a rapidly growing AI company. What You’ll Be Doing • Own and drive system architecture and long-term technical strategy, • Build high-performance, scalable backend systems powering AI-driven workflows, • Lead design and code reviews, ensuring high standards of quality and security, • Collaborate closely with AI research, product, and infrastructure teams, • Improve system reliability, observability, and scalability, • Mentor engineers and act as a technical multiplier across teams, • Champion best practices, tooling, and engineering excellence, • Proactively identify and resolve technical debt What they are Looking For Core Experience • 5+ years in backend engineering, ideally at Senior level, • Strong experience with Python and/or Golang, • Proven track record building and scaling distributed systems or cloud-native platforms (AWS preferred), • Experience delivering end-to-end solutions in production environments Technical Skills • API development (REST / GraphQL) and third-party integrations, • Strong knowledge of databases (SQL & NoSQL), • Experience with event-driven systems / messaging (Kafka, RabbitMQ, SQS, etc.), • Solid understanding of system design, architecture patterns, and testing frameworks, • Hands-on experience with monitoring, observability, and instrumentation Leadership & Impact • Strong mentoring capability—raising the bar across teams, • Ability to communicate across technical and business stakeholders, • Confident leading complex technical decisions with long-term vision Working Model • Hybrid: 3 days per week onsite (London), • Occasional travel between offices (every 4–6 weeks) Why This Role? • Join one of the most exciting AI startups in Europe, • Work on agentic AI systems at real scale—not just theory, • Collaborate with top-tier engineers and researchers, • Significant ownership and influence from day one, • Strong compensation + rapid career growth opportunities

Role: Software Engineer (Full Stack) Locations: London (must be willing to travel to client sites throughout the UK on an ad hoc basis) 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 Job Qualifications Accenture Software & Platform Engineering is over 1,000 people strong and provides end-to-end product engineering solutions which deliver tangible value, fast. We bring together an obsession for technical excellence with agility and scale, to help clients move from project to product at speed. We work with clients in every sector. They range from scale-ups through to national and international blue-chip names and public sector organisations. Our teams routinely work on products that are used by millions of people. We offer an exciting career working in a vibrant environment, with access to training and a global network of experts. As part of our Software & Platform Engineering team, you’ll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job In our team you will: We typically work hand-in-hand with our clients to build great digital products for them and for their customers. To do this, we need experienced, capable engineers who can both deploy their own mastery to get things done hands-on and successfully lead others in doing so. The nature of our work varies from client to client so there will be lots of opportunities to experience new domains and new stacks. This role often involves leading client accounts holistically—people, delivery, quality, and commercials. As well as ensuring we’re delivering great engineering, you’ll also keep the big picture in mind and help our clients best use the capability and flexibility of a consultancy partner to reach their goals sooner. Our team is dedicated to applying great engineering to get great outcomes. Our engineers stand out by keeping one eye on value at all times, and by proposing thoughtful solutions that get the job done efficiently and with low complexity. You’d be a key advocate for this approach within a team. Beyond client work, our engineers are essential contributors to our internal and regional engineering communities. There’s loads of scope to get involved and help shape conversations around tech you’re interested in, share your knowledge and experience, and learn from colleagues working in very diverse problem spaces. We are looking for experience in the following skills: • You’re hands-on in delivery, contributing directly across the SDLC (build, test, deploy) and collaborating day‑to‑day within teams., • You’re highly comfortable in client‑facing roles, building trusted relationships with stakeholders and delivering against clear expectations., • You bring solid full‑stack engineering experience (not purely front end or back end), working across the full development lifecycle., • Your core technology experience includes React, Node.js, Python, and Java., • You have hands‑on cloud experience, designing and delivering solutions on AWS and/or Azure., • AI experience is essential: you have a proven AI skillset demonstrated through certification and/or real delivery experience., • You have contributed to architectural and technical design decisions, helping shape scalable and robust solutions., • You enjoy collaborating in an open, egoless way and are adaptable, comfortable with change, and motivated to keep learning to deliver the best outcomes for clients. 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 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.

About the Company We’re working with a well-established UK consulting firm with a strong presence in the mid-market, delivering high-quality advisory, transformation and data-led solutions. With a clear growth trajectory and ongoing investment in its consulting capability, it offers a great platform for individuals looking to build a long-term career in a client-facing, delivery-focused environment. About the Role As a Senior Consultant within the Business Transformation team, you’ll design and deliver modern, cloud-based data solutions and advise clients on their current data landscape and maturity — shaping data strategies and future roadmaps. Responsibilities • Facilitating requirements gathering workshops across business areas to agree objectives, use cases, and data needs, • Supporting the development of data solutions aligned to business objectives, balancing best practice with client requirements, • Providing guidance on data governance and strategy, including frameworks and policies to improve data maturity, • Managing delivery across multiple workstreams / engagements, supporting junior team members and structured engineering practices, • Designing, building and optimising end-to-end data pipelines (ingestion, transformation, orchestration) using SQL and Python, • Embedding strong engineering disciplines: Git, CI/CD, release management via Azure DevOps, • Contributing to pre-sales through proposal support, solution shaping and client-facing materials Qualifications • Strong academic record (ideally a relevant degree: computer science, software engineering, data engineering/analytics, information systems), • 4+ years’ experience delivering data engineering / data platform engagements (ideally in professional services / consulting) Required Skills • Hands-on experience with modern cloud data platforms, including Microsoft Fabric and Azure Databricks, • Strong understanding of Azure data services and integration systems (e.g. Azure Data Factory, Azure Data Lake) and how they complement Fabric/Databricks, • Practical experience with Spark / PySpark (desirable but strong Spark experience counts), • Experience implementing platform security practices (secure connectivity, secrets management, RBAC concepts) aligned to client policies, • Experience implementing data quality controls and validation checks, plus producing clear documentation for traceability and handover, • Confident leading workshops and engaging stakeholders at all levels — able to explain complex ideas to non-technical audiences, • London-based or willing to travel to London fortnightly Preferred Skills • Proposal writing / business development experience (bids and client presentations), • Certifications: Azure Data Engineer / Fabric Data Engineer / Analytics Engineer / Databricks fundamentals Pay range and compensation package Fortnightly travel to London required. .

Salary: £250k + bonus Summary Python Engineers wanted for a leading market maker to join their fast-paced, dynamic engineering team. This role offers the opportunity to contribute to one of the world's most powerful trading platforms. In this role, you will partner with business leaders to define priorities and then create next-generation custom software solutions that optimize performance and efficiency across the firm. The work will be a mix of designing, testing & deploying elegant software, analyzing complex technical problems, and continuously improve performance, functionality and stability of the platform. The successful candidate will be an outstanding communicator, confident performing in a fast-moving, ever-changing trading environment. Skills and Experience Required • A core passion for technology and software development, • Deep-level Python experience, • Keen proponent of solving open-ended problems with analytical methods, • Sound knowledge of SDLC methodologies + Linux systems, • Professional experience working with distributed systems Experience with any of the following: Rewards and Incentives • Hugely collaborative environment between teams, not siloed like other firms, • Competitive compensation: truly flat structure; feel valued for your input and be rewarded for great ideas, • Work with the latest technologies on complex problems Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If this sounds like you, or you would like to know more, please get in touch. Andy Stirling-Martin +44 (0)20 3137 9579 linkedin.com/in/andrew-stirling-martin-7664a946