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Data Engineer Remote UK Salary: £45,000 - £55,000 This is an exciting opportunity to step into a high-impact Data Engineering role within a fast-scaling data and machine learning environment. You will sit at the core of the engineering function, working closely with a large data science group and shaping the foundations of their internal tooling and pipelines. The Company They are a rapidly growing data and analytics organisation operating in the alternative data and machine learning space. Their platform powers KPI prediction models used by investment-focused clients, and they have built a strong engineering culture to support a substantial data science function. With significant recent investment and continued growth, they are now expanding their ETL and automation capabilities to strengthen internal workflows and infrastructure. The Role You will focus on building, maintaining, and optimising internal ETL pipelines and workflow automations that support data scientists and enable reliable, scalable reporting. Key responsibilities include: • Designing and maintaining custom ETL pipelines in a cloud-native environment., • Automating internal processes and integrations across tools and APIs., • Supporting workflow orchestration using technologies such as Airflow or AWS Step Functions., • Containerising and deploying services using Docker., • Collaborating with data scientists to streamline their data workflows., • Contributing to improvements across orchestration, tooling, and internal engineering processes. Your Skills and Experience • Strong commercial experience with Python and common data libraries., • Proven ability to build and maintain ETL pipelines., • Hands-on experience with AWS services., • Experience with Docker and containerised workflows., • Familiarity with workflow orchestration tools., • Comfortable integrating with APIs and external tooling., • A practical, delivery-focused approach with the ability to own tasks end to end. How to Apply If this sounds like your next step, please send your CV to register your interest.

Java Software Engineer with around 3-6 years professional, post-graduate experience sought by one of the original Quantitative Hedge Funds, with a 20+ year track-record. The firm are renowned for a healthy, supportive, and collegiate working environment and culture, with no siloes, boasting an industry-leading staff tenure. This hire will be part of a core Software Engineering team, responsible for the vast majority of all applications in the business from front-to-back office.This includes Order Management & Trading Execution, Risk & Finance, Straight-Through-Processing and Corporate Functions. The team deal directly with business users right across the firm, taking ownership of analysis, design, architecture, and implementation, working primarily with Java, but also with Python, SQL and to a lesser extent, MATLAB. They currently have an opening for a mid-level hire in the team, with around 4-6 years’ experience. The successful applicant should have exposure to modern software engineering techniques such as CI/CD as well as excellent Computer Science Fundamentals, OOP, Concurrency, and Java Generics. Excellent communication skills are also extremely important for the team, and a strong academic background in a numerate discipline, especially Computing / Computer Science, preferably from a leading University. This hire has been budgeted at a salary of £70-120K, plus excellent benefits and company pension contributions, along with a healthy annual bonus and an opportunity to participate in their Management Incentive Scheme. Applicants must be able to work onsite in Central London 3 or more days per week. This is an incredible opportunity to join a world-class firm and to forge a long-term career in a genuinely supportive and learning-focused working environment. Please apply below or contact for more information.

Founding Engineer (AI) Location: Remote first (global, UK timezone) Compensation: Up to £120,000 + significant equity Type: Full-time What is DeepFlow? DeepFlow is the hyperscaling platform. We launch and scale AI-native businesses. An operator with 10 years of domain expertise pairs with DeepFlow’s platform and engineering support to build a business that would previously have needed a team of 50. You’re building the agents that make it work. Where we are now • Platform live with paying customers across law, finance, recruitment, and media, • Launching our founding cohort through DeepFlow Foundry: deploying agents into real revenue-generating businesses, • Preparing for a significant raise to scale from 2–3 companies to 10+ by September, with a roadmap to 100 in 2027, • Research team published at AAAI 2026 (invited oral) and DAI 2025, with work adopted by top global universities and companies The Role You own the agent layer. Every AI workflow that runs on DeepFlow - the scaffolding, the prompts, the tool integrations, the evaluation pipeline - is your responsibility. Your decisions about agent architecture, provider selection, and quality assurance directly determine whether our companies’ AI delivers in production. This is a software engineering role with an agent specialisation. You’re a full-stack engineer first - you write backend services, build APIs, and ship features end-to-end. Your focus is the model layer, but you’re not siloed to it. You work directly with the CTO/CPO and CSO to shape product direction. Significant equity reflects the scope and impact of the position. What You’ll Build • Agent Scaffolding: Designing and building the frameworks that connect LLMs into reliable, production-grade workflows - prompt engineering, tool use, and multi-step chains that hold up at scale., • Provider Integration: Working with closed-source providers (OpenAI, Anthropic, Google, etc.) via OpenRouter. Managing model selection, fallbacks, cost optimisation, and latency across providers., • Agent Evaluation: Building the eval infrastructure that measures whether agents actually work - regression testing, quality metrics, and structured failure analysis., • Integration Engineering: Connecting agents to the external world: Slack, GSuite, CRMs, accounting tools, and domain-specific APIs. The integration layer that makes agents useful in real businesses., • Full-Stack Delivery: You write backend services, build API endpoints, and contribute to the frontend when needed. Agents don’t exist in a vacuum - this is still a software engineering role., • Product Direction: You work closely with the founding team to translate cohort feedback and client needs into agent architecture decisions. What to build matters as much as how you build it. What We’re Looking For • Strong software engineer first. You write clean, production-quality code and you ship fast. Real deployed systems, not notebooks., • Experience building with closed-source model providers in production - shipping agent workflows to real users, not just prototyping., • Practical understanding of prompt engineering, tool use, and agent evaluation. You know what makes an agent reliable versus what makes a good demo., • Full-stack capable. Backend (Python), infrastructure basics, and enough frontend (React/TypeScript) to ship features end-to-end., • Fluent with modern AI tooling - you use Cursor, Claude Code, or similar daily and it makes you faster. AI tooling is not optional here., • Comfortable with ambiguity and startup pace. Priorities shift weekly based on cohort feedback., • Right to work in the UK permanently. We care less about • Your degree (or lack of one), • How many years you’ve been working - we care about what you’ve shipped, • Whether you’ve published papers - this is an engineering role, not a research role Tech Stack • Backend & Agents: Python, pydantic-ai, proprietary agent frameworks, OpenRouter, • Frontend: TypeScript, React, Vite, • Infrastructure: AWS (EKS), Docker, Inngest (event-driven orchestration), • Tools: Cursor, Claude Code, GitHub Why Join • Ownership. Significant equity as a founding engineer. The agents you build power every business on the platform., • Real traction. Paying customers, founding cohort live, and a significant raise in preparation. What you build in the next 6–12 months directly determines whether we hit 10 companies by September., • Exceptional team. Co-founder who sold his AI company to WPP for $100M. Product leader who scaled a Meta platform to 400K+ users. Research team published at top AI venues with work adopted by leading universities and Fortune 500 R&D teams. Advisors include a leading NLP researcher and a Google DeepMind team lead., • Flexibility. Fully remote, UK timezone. Regular offsites. We care about what you ship, not when you’re online. We’re hiring immediately. The process is fast: we make offers within one week.

My client is a global, technology-driven quantitative investment manager operating across liquid asset classes worldwide. They apply a rigorous scientific approach to investing and foster a highly collaborative environment where engineers, traders, and researchers work side by side to solve complex problems. They are looking for an experienced C++ developer (3+ years) to join a high-performance crypto trading team and work directly with traders and quantitative researchers. What you’ll be doing • Build and optimise high-frequency, low-latency crypto trading systems, • Design and implement alpha generation and trading algorithms, • Implement exchange-specific market rules across major crypto venues, • Partner closely with traders and quants to develop research platforms and tooling What they’re looking for • Degree in Computer Science or equivalent experience, • Strong C++20/23 development skills on Linux, • Passion for performance, reliability, and clean system design, • Experience or interest in HPC and cloud-based environments, • Good Python skills, • Strong communication skills in a fast-paced, international team

Junior Quant Developer – Multi-Strategy Systematic Trading Location - London (or NYC) A leading investment firm specialising in multi-strategy systematic trading is seeking a Junior Quant Developer to join its front-office execution team in London. The firm integrates diverse strategies across asset classes to capitalise on market opportunities. As a Junior Quant Developer (0–4 years of experience), you will: • Develop and enhance high-performance trading systems., • Optimise execution algorithms for systematic trading., • Contribute to research and simulation frameworks. Key Requirements • Bachelor's degree in Computer Science or closely related field, • Interesting internship(s) within trading, • Proficiency in C++ or Python (the firm’s tech stack includes both)., • Strong problem-solving and analytical skills., • Ability to work in a fast-paced, collaborative environment. This opportunity offers a competitive compensation package and hybrid working model.

Cloud Platform Engineer Location: London (Hybrid) Salary: £65,000 – £75,000 20% Employer Pension Contribution I’m working with a well known public sector organisation to hire a Cloud Platform Engineer to play a key role in building and maintaining their Azure cloud infrastructure. This position will focus on infrastructure as code, automation, and platform reliability, working closely with development and DevOps teams to deliver scalable, secure, and high-performing cloud environments. What you’ll be doing: • Designing and managing Azure cloud infrastructure using IaC (Terraform), • Building and maintaining CI/CD pipelines for infrastructure and applications, • Monitoring systems, troubleshooting issues, and improving reliability, • Implementing security, compliance, and governance best practices, • Supporting incident management and root cause analysis, • Collaborating with engineering teams to embed DevOps practices The Cloud Platform Engineer will have: • Strong experience with Azure cloud services, • Proven experience with Infrastructure as Code (Terraform), • Experience with CI/CD tools (Azure DevOps, GitHub Actions, etc.), • Scripting skills (PowerShell, Bash, or Python), • Knowledge of containers (Docker, Kubernetes), • Understanding of cloud security, networking, and monitoring tools

Data Scientist (Sports Analytics | Football Focus) We’re excited to be partnering with a new client – a rapidly growing sports data consultancy that is extending its Data Science team. This is a fantastic opportunity to join a business at the cutting edge of football analytics, where raw data is transformed into actionable insights that drive smarter, evidence-based decisions for clubs, organisations, and partners. With a clear focus on football, you’ll be delivering innovative data science solutions that support performance analysis, recruitment, and strategic planning. The team combines technical excellence with a genuine passion for the game, ensuring insights are both rigorous and impactful. If you’re someone who loves football and wants to push the boundaries of how data can shape the sport’s future, this is the role for you. Key Responsibilities • Apply advanced data science techniques to analyse football data and uncover insights on performance and tactics., • Build models and frameworks to profile teams and players – identifying styles of play, strengths, and weaknesses., • Develop new metrics to evaluate players (e.g. efficiency in ball retention, progressive passing, duel outcomes under pressure)., • Communicate findings effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes • Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling., • Industry experience in a data science role focussing on sports analytics., • Knowledge of advanced football metrics (possession value models highly desirable)., • A deep passion for football combined with analytical rigour and strong communication skills for club-facing work. Location: London with hybrid working available Type: Permanent Benefits: Large bonus potential, pension, private medical and free onsite gym. Impact: Work directly with clubs and partners to shape data-driven decision-making in football. Interested? This is a unique chance to join an ambitious consultancy and make your mark in sports data science. If you’d like to know more, get in touch today to discuss this new client opportunity!

Head of Pre-Trade Data & Analytics | £160k base + Bonus | London | Permanent Industry: Trading Location: London - 3 days in office Job Type: Permanent Our client, a global energy trading firm, is seeking a Head of Pre‑Trade Data & Analytics to lead the strategy, engineering, and operation of its next-generation Pre‑Trade Data platform. The role will consolidate three core systems into a single, scalable platform used by Traders, Trading Analytics, Quants, and Algo developers for curve management, pricing, analytics, and pre-deal decision-making. This hands-on leadership role requires a technologist with data science credibility, engineering expertise, and the ability to influence senior stakeholders across Trading, Risk, Analytics, and Technology. Key Responsibilities • Define and execute the Pre‑Trade Data & Analytics strategy across core systems., • Deliver a multi-year roadmap including ClickHouse migrations, metadata consolidation, common APIs, scraper consolidation, and platform resilience improvements., • Rationalise, deduplicate, and govern curves across systems., • Architect and oversee a Medallion-style platform using Python, React, ClickHouse, Kafka/event streaming, Azure/AWS, and C#/.NET., • Remain hands-on with design, prototyping, code reviews, and architecture decisions., • Lead engineers, data scientists, and platform leads across EMEA, fostering a cohesive culture., • Collaborate with Traders, Quants, Algo teams, and Trading Analytics to prioritise delivery and communicate progress to leadership., • Oversee system consolidation, cloud migration, data quality improvements, and legacy database decommissioning., • Ensure production stability, high service standards, KPIs, and SLAs across regions. Required Experience • Solid experience in data engineering, platform architecture, or distributed systems in trading or high-data environments., • Hands-on Python experience and familiarity with modern frameworks; React for UI delivery., • Experience with streaming/event-driven architectures (Kafka) and large-scale data processing; ClickHouse or similar highly desirable., • C#/.NET experience beneficial for legacy systems., • Knowledge of energy trading, commodities, or financial markets., • Understanding of curves, market data, pricing models, algo workflows, and analytics platforms., • Quantitative skills in statistical modelling, machine learning, or computational analytics., • Experience leading multi-country engineering organisations and large-scale platform transformations., • Strong stakeholder management, prioritisation, and delivery discipline in fast-paced trading environments. To find out more, please apply directly or connect with me on LinkedIn.

Product Specialist – Graduates Considered A brilliant opportunity for a talented Graduate to work as a Product Specialist, joining a market-leading disruptive software technology firm in London. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house. This is an ideal time to join this growing organisation and be guided by some of the brightest minds in this field. Daily, you will be working closely with the sales team to deliver Proof of Concepts and assist with live customer projects for a machine learning platform. Location: Central London - 3 days in office / 2 days remote Salary: Competitive + bonus + healthcare, pension, etc. Requirements for Product Specialist • A minimum of a 2.1 bachelor's from an internationally renowned University in a STEM or law-related discipline, • At least ABB at A-Level or equivalent UCAS points (please ensure A-Level grades are included on your CV), • Basic scripting knowledge in Python or Bash, • Excellent customer-facing skills, • You have a sales spark - while this role isn't a focused sales role, this is required due to the nature of the role, • A motivated self-starter with a problem-solving attitude, • Strong aptitude for picking up technologies, • Ability to work with autonomy and as part of a team, • Great communication skills with fluent spoken and written English, • Fluency in Spanish or French (Business level) would be advantageous Responsibilities for Product Specialist • You will be the main point of contact and liaise with clients, internal teams (predominantly the tech team), • Manage live customer projects from planning to final review, • Provide customer training to new and existing customers, • Deliver workflow advice to customers using the product, • Identify significant new projects, • Basic troubleshooting and escalation of issues to the tech team, • Gain an in-depth understanding of the company’s technology so you can advise customers on how to import/export data, • Provide updates to the management team on accounts What this offers • Working for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates, • An exciting opportunity supporting projects on a machine learning platform, • A good remuneration and benefits package Applications If you are bilingual, have top academics and would like to apply, we would love to hear from you. Please ensure that when applying, you include your degree classification/GPA and your A Level grades (or UCAS equivalent) on your CV. Please send an up-to-date CV via the relevant link. We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job board, full details for contact are available on our website). Keywords: Entry-Level / Trainee / Graduate / Technology Solutions Specialist / AI Product Expert / Customer Success Specialist / Product Relationship Manager / Technical Sales Consultant / Product Advocate / Client Solutions Specialist / Technology Integration Specialist / Customer Engagement Specialist / Solution Architect / Software Engineer / Product Consultant / Customer Experience Manager / Technology Specialist / Product Liaison Officer / Sales Support Specialist / Implementation Consultant / Customer Technology Advisor / Python / Bash

Do you want to build AI products used by millions of consumers globally? Have you deployed production AI systems that combine LLMs with traditional ML? Are you ready to work at the intersection of beauty, retail and applied AI? A globally recognised direct-to-consumer beauty brand is hiring an AI / ML Engineer to join its London-based data team. The company is one of the fastest-growing prestige beauty brands worldwide and has built a strong in-house technology capability, using AI across customer experience, product recommendations and internal operations. Their data and AI team owns the full value chain from data engineering through to machine learning products. This role sits within a lean AI engineering function responsible for deploying production ML systems and scaling new GenAI capabilities across the business. This is a hands-on engineering role focused on building real AI products – from LLM-powered customer experiences to production recommender and forecasting systems. Key Responsibilities • Design and build LLM-powered systems including RAG pipelines and conversational AI tools, • Develop production ML pipelines for recommendations, segmentation and forecasting, • Build scalable APIs and microservices for AI/ML applications, • Deploy and manage models using cloud-native ML infrastructure, • Implement MLOps practices including CI/CD, monitoring and model lifecycle management, • Work cross-functionally with product, data and engineering teams Key Details • Salary: up to £85k + 10% bonus, • Working model: Hybrid London (2–3 days in office), • Tech stack: Python, GCP (preferred), FastAPI, LangChain / LangGraph, CI/CD, • Visa sponsorship: Not available Interested? Please apply below.

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

Senior AI Research Engineer (LLMs / AI Systems) | London | £200K–£300K We’re hiring a Senior AI Research Engineer to work on large-scale AI systems deployed in production. The role sits between research and engineering, focusing on improving the models and systems behind AI agents. Work includes instruction following, long-context reasoning, retrieval, and multi-step task execution. What You’ll Do • Improve core capabilities such as instruction following, retrieval, contextual memory, and long-horizon tasks, • Build and iterate on model training, evaluation, and orchestration pipelines, • Develop end-to-end systems that run reliably at scale, • Take research ideas from prototype to deployed systems, • Work closely with engineers to ship models into production What We’re Looking For • 5+ years in AI/ML engineering or applied research, • Experience training, fine-tuning, or deploying LLMs in production, • Strong Python and familiarity with modern ML tooling (PyTorch, data pipelines, evaluation frameworks), • Track record of turning research work into production systems Compensation & Benefits • £200K - £300K base, • Health coverage, • Flexible vacation, • Daily meals and office perks 📩 Apply:

Sports Senior Software Platform Engineer (Multiple roles, various seniority) | Sports Data We're also looking for PhD Sport Researchers, Quantitative Sports Modellers & Sports ML Experts We’re helping several sports data leaders, specialised in turning complex sporting datasets into actionable insights that drive smarter, evidence-based decision-making. Each team combines technical expertise with a genuine passion for sport, ensuring that the insights they deliver are both rigorous and practical. Build high performance trading and analytics platforms for the future of sports! Basketball, F1, Tennis, Horse Racing, Football (Soccer) and so much more... Essential Skills (Across the court/ track/ ground/ pitch): • Strong programming exposure with Go/ Golang or similar (such as Rust, Java, Kotlin, Python, C#, C++ etc), • Understanding of AWS to build pipelines., • Understanding of high-performance machine critical systems; ideally a sports trading platform or similar (financial trading/ banking/ air traffic platforms etc), • Strong problem-solving mindset with an analytical, systems-focused approach Bonus skills (100-point game, hat-trick, podium finish, Grand Slam): • Proven success with sports data/ the sports trading domain, • Genuine passion for sports and a curiosity-driven approach to understanding sports data Day-to-Day Duties (Throughout the venue): • Design, develop and analyse multiple high-performance sports trading and analytics platforms, whilst enabling global sports data to connect to it simultaneously, • Work with wider teams to add features, improve performance and increase reliability, • Contribute to CI/CD, security and long-term technical direction, • Innovate internal research projects exploring new metrics, analytical methods and applications of sport data Benefits (Beyond the match/ race/ game/ track): • An impact from day one, • Shape the future of sports technology, • Direct involvement with sport and the chance to apply tech to the real-world sporting calendar, • Creative freedom to experiment and innovate, • Supportive, collaborative culture that encourages learning and growth, • A vibrant team culture with a shared passion for sports, • Access to the latest tools and technologies, • Collaborative, flexible, remote first & hybrid working models, • Industry leading packages (competitive salary & bonus), plus an endless list of benefits.

Job Title: Databricks Architect Location: UK/Europe - Remote Engagement Type: Contract (Outside IR35) Role Overview We are seeking a Senior Databricks Architect with 15+ years of experience in Data Engineering/Analytics to design and deliver scalable, secure, and cost-efficient data solutions on AWS. This is a leadership role requiring strong hands-on expertise, proactive risk management, and excellent stakeholder communication skills. Key Responsibilities • Architect and implement data solutions using Databricks on AWS, PySpark, and Python, • Lead cloud migration initiatives, including on-prem to AWS migrations, • Drive GenAI-enabled automation for data asset migration, • Develop scalable data models and deliver actionable business insights, • Design and optimize ETL pipelines (Informatica or similar tools), • Build and deploy PySpark applications for large-scale data processing, • Work on LLM pretraining, fine-tuning, augmentation, and optimization, • Ensure high data quality through cleaning, transformation, and validation (Python/SQL), • Automate data workflows to enhance scalability and efficiency, • Maintain clear technical documentation and best practices Required Experience • 15+ years in Data Analyst/Data Engineer/Data Architect roles, • Strong expertise in Databricks on AWS, • Advanced Python (Pandas, Scikit-learn) and SQL skills, • Proven experience in large-scale cloud data migrations, • Hands-on experience with LLMs and GenAI-based automation, • Strong experience designing secure, high-performance data architectures Key Competencies • Proactive risk & issue management, • Strong requirement clarification and stakeholder engagement skills, • Excellent communication – able to translate technical insights into business value, • Critical thinker with strong problem-solving capabilities, • Self-driven, autonomous, and collaborative approach

We’re partnering with a PE-backed SaaS business in the EdTech space that is scaling quickly and investing heavily in its product and engineering function. They’re hiring a Staff Engineer to help shape technical strategy across a growing core product suite used at real scale. This is a high-impact senior IC role for someone who loves solving complex architectural problems, influencing across multiple teams, and operating at the intersection of engineering, product, and business strategy. This is not a “staff in title only” role. The business is looking for someone who can work across domains, support technical leaders, raise the architectural bar, and bring strong judgement to a fast-moving environment undergoing significant transformation - including a major push toward AI-first engineering ways of working. What you’ll be doing • Driving architecture, technical direction, and roadmaps across a complex product estate, • Partnering with Tech Leads, Product Directors, and Engineering leadership on the company’s most important initiatives, • Supporting delivery of new product areas, module rebuilds, and greenfield architectural challenges, • Coaching senior engineers and technical leads while improving engineering quality and decision-making across teams, • Helping define what AI-first software development looks like in practice, including how tooling and new workflows reshape the SDLC, • Operating as a senior technical leader across multiple teams rather than sitting in one narrow delivery lane What they’re looking for • A proven background as a Staff Engineer / Principal-level IC / senior technical leader in a scaling product business, • Strong experience in architecture, systems design, and technical strategy across multiple teams or domains, • Someone who can influence senior technical and non-technical stakeholders and turn ambiguity into momentum, • A leader who brings examples, judgement, and real-world experience not just theory, • Strong opinions on how AI changes engineering productivity, team design, and delivery, • Experience in modern product environments where quality, performance, security, and observability matter, • Exposure to technologies such as PHP, Node, React, Python, MySQL, and AWS is helpful, but this is not a language-led search

Position: Mid Level Software Engineer Location: Elephant and Castle Job Type: Full Time About Qoves Qoves is on track to become the next consumer tech unicorn. With over 2.5 million followers across our platforms, we have built one of the largest global communities around beauty, aesthetics and AI. In only a short time, we have become one of the fastest growing consumer tech companies in the world, pioneering AI-driven facial analysis that is transforming the way people understand and improve their looks. Our products range from consumer facial analysis reports to AI powered tools and partnerships with leading clinics and global brands. We are scaling quickly, expanding our team, and setting new standards in how technology and aesthetics intersect. This is your opportunity to join a company that is not just growing but reshaping an entire industry. The Role We’re looking for a Mid Level Software Engineer to join our growing engineering team in London. You’ll work closely with senior engineers and the Head of Engineering to build, scale, and improve the core systems powering our AI driven platform. This role is ideal for someone who is comfortable owning features end to end, contributing to architectural decisions, and shipping production ready code with minimal oversight. You’ll play a key role in bridging execution and ownership, delivering high-quality solutions while continuing to grow into a more senior engineer. What You’ll Do • Design, build, and maintain backend services using Python (FastAPI and/or Django), • Develop and scale REST APIs that power core product features, • Work with PostgreSQL to design efficient schemas and optimize queries, • Contribute to AI powered features, including integrations with ML models and APIs, • Own features end to end, from planning and implementation to deployment and monitoring, • Write clean, scalable, and well-tested code, contributing to overall codebase quality, • Collaborate cross-functionally with Product, Design, and Frontend teams, • Support deployment and infrastructure workflows using Docker and CI/CD pipelines, • Participate in code reviews and help mentor junior engineers, • Debug and resolve production issues, improving system reliability and performance What We’re Looking For • 3 to 5 years of professional software engineering experience, • Strong proficiency in Python with experience in FastAPI, Django, or similar frameworks, • Solid understanding of backend architecture and API design, • Experience working with PostgreSQL or other relational databases, • Comfortable working independently while contributing to a collaborative team, • Familiarity with Docker, Git, and modern deployment workflows, • Exposure to AI/ML tools, APIs, or computer vision is a strong plus, • Strong problem-solving skills and ability to navigate ambiguity, • Clear communicator who can contribute to technical discussions and planning Nice to Have • Experience with AI/ML frameworks or LLM integrations (e.g., LangChain), • Familiarity with Supabase, Firebase, or other BaaS platforms, • Experience optimizing performance and scaling backend systems, • Prior experience in a startup or high-growth environment Why Work With Us • Work on cutting edge AI technology used by millions globally, • Join a fast-growing, well funded startup with a 2.5M+ community, • Take ownership of meaningful features and contribute to core systems, • Collaborate with a high performing, ambitious engineering team, • Work directly with senior engineers and leadership, • Office based in a uniquely designed, converted London library, • Play a key role in shaping the future of AI and aesthetics

Python Software Engineer - Observability Engineering - Quant Research (You must have the right to work in the UK to be considered for this position) London (Hybrid) | c.£150k base + bonus • I’m working with a top-tier quant trading firm building one of the most advanced automated research and trading platforms globally., • They’re looking for a Python Software Engineer to join their Observability Engineering team, building the telemetry and monitoring infrastructure that underpins hundreds of services across the organisation. The Role • Build and maintain systems that handle cloud-scale volumes of telemetry data, • Extend and maintain OpenTelemetry collectors, SDKs and exporters, • Design and improve telemetry pipelines and observability backends, • Work with engineering teams to implement instrumentation standards and “Golden Paths”, • Improve incident response and operational visibility through better telemetry coverage, • Build tooling and libraries that improve developer productivity and platform observability Tech Environment • Python, • Kubernetes, • OpenTelemetry, • Prometheus / PromQL, • VictoriaMetrics, • OpenSearch, • Grafana, • Terraform, ArgoCD, Helm, Jenkins What they’re looking for • Strong Python backend engineering experience, • Experience working in Kubernetes / cloud-native environments, • Interest or experience in observability, monitoring or telemetry systems, • Comfortable building distributed systems and internal developer tooling, • Strong problem-solving skills and the ability to collaborate across engineering teams Package If you’re interested in building large-scale observability platforms in a high-performance engineering environment, please apply.

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: .

PaymentGenes is proud to be partnering with a high-growth, international technology organisation to appoint a Senior / Lead Data Scientist (AI-Native, AWS ML Stack, Production-Focused). This is a strategic hire within a business scaling real-world AI solutions — moving beyond experimentation into production-grade, AI-powered systems embedded directly into enterprise workflows. If you are passionate about deploying scalable ML systems that deliver measurable commercial impact, this opportunity is for you. This role goes beyond model experimentation! You will design, deploy, and scale AI-driven solutions using modern foundation models and AWS-native machine learning infrastructure. From LLM-powered agents to predictive models embedded in automated workflows, your work will directly influence business operations at scale. You’ll operate at the intersection of modelling, engineering, and intelligent automation. 🌐 What You’ll Do 🧠 Model Development & AI Systems Design • Design and train predictive models using AWS SageMaker, • Develop LLM-powered systems via AWS Bedrock (including Claude integration), • Build RAG pipelines combining structured and unstructured data, • Develop evaluation frameworks for accuracy, bias, and robustness, • Architect reasoning agents using advanced foundation models, • Use code-generation tooling for automation logic and integration scripting, • Orchestrate multi-step AI workflows, • Deploy AI-powered decision layers into enterprise processes, • Deploy and manage models using SageMaker (training, endpoints, pipelines), • Leverage Bedrock for foundation model access, • Implement serverless inference with Lambda & API Gateway, • Utilise S3, Glue, Athena for data processing, • Implement CI/CD for ML workflows, • Monitor performance via CloudWatch and drift detection tooling, • Build reproducible ML pipelines, • Implement model versioning and dataset tracking, • Design structured output validation and guardrails, • Monitor performance and trigger retraining cycles, • Identify high-impact AI use cases, • Translate business problems into ML system designs, • Lead experimentation frameworks (A/B testing, uplift modelling), • Mentor data scientists and collaborate closely with data engineering, • Communicate AI strategy and risk to senior stakeholders 🛠 Technical Environment Core Data Science • Advanced Python & SQL, • Statistical modelling & ML algorithms, • Feature engineering, • SageMaker (training, endpoints, pipelines), • Bedrock (foundation models incl. Claude), • Lambda (serverless inference), • S3, Glue, Athena, • CloudWatch, • Foundation models for reasoning workflows, • Code-generation tooling for automation scripting, • Agent orchestration frameworks, • Enterprise workflow automation tools, • RAG architectures, • Embeddings & vector stores 👤 What We’re Looking For • 6–10+ years in data science or applied ML, • Proven experience deploying ML models into production, • Hands-on experience with AWS-native ML services, • Experience building LLM-powered workflows or AI agents, • Demonstrated delivery of measurable business impact You’ll Thrive If You Have: • Strong problem-framing ability, • Systems-level thinking beyond model accuracy, • AI governance awareness, • Clear communication across technical and executive audiences, • A bias toward practical deployment over research-only outputs 💡 Example Projects You Might Deliver • Production fraud detection model deployed via SageMaker endpoint, • Internal AI copilot powered by Bedrock and embedded into workflows, • RAG-based compliance monitoring assistant, • Automated revenue forecasting pipeline with retraining triggers, • AI-driven document intelligence system (classification + extraction) 📈 What Success Looks Like • Reduced time from model prototype to production, • Stable, monitored ML endpoints delivering measurable ROI, • Improved decision accuracy in automated workflows, • Strong adoption of AI-enabled tools across the business, • Controlled infrastructure cost per inference This is a rare opportunity to build AI systems that operate at real scale within a forward-thinking technology environment. If this excites you, please reach out to the PaymentGenes team directly via LinkedIn, who can provide more detail and insight into this company's journey into AI and the opportunity.

Site Reliability Engineer (SRE) – GPU Infrastructure Data Centres Fully Remote Role - Work from home The Site Reliability Engineer (SRE) is responsible for the end-to-end validation, testing, and readiness of GPU compute clusters prior to production release. The role ensures that all hardware, networking, and system components meet operational and reliability standards before customer workloads are deployed. Working closely with global infrastructure and engineering teams, the SRE plays a critical role in maintaining the quality, stability, and integrity of high-performance compute environments. Key Responsibilities Cluster Validation & Testing • Validate GPU clusters of varying sizes to ensure hardware and system integrity prior to production release, • Perform functional and reliability testing of GPUs, servers, and associated components, • Verify network connectivity and performance, including high-speed interconnects where applicable Orchestration & Benchmarking • Provision and configure GPU clusters using automated workflows, • Execute and analyse performance and stability benchmarks orchestrated via a workload scheduler, • Validate results against expected performance and reliability thresholds Test Framework & Automation • Maintain and extend the automated validation framework built using Python and Ansible, • Integrate new test cases to support additional hardware platforms and GPU generations, • Improve test reliability, coverage, and execution efficiency Remediation & System Integrity • Diagnose and remediate unhealthy nodes through configuration changes or software fixes, • Coordinate with on-site support teams for hardware replacements when required, • Ensure all issues are resolved and documented prior to handover to production operations Documentation & Handover • Produce clear, accurate documentation of test results, hardware states, and remediation actions, • Ensure smooth handovers to operations and engineering teams, • Maintain up-to-date runbooks and validation procedures Team Collaboration & Training • Work as part of a distributed, international infrastructure and engineering team, • Participate in knowledge sharing, process improvement, and technical reviews, • The working language is English; additional language skills are beneficial Shift & Availability Requirements • Ability to work independently within a remote environment, • Reliable internet connection and suitable home working setup, • Role is fully remote; company hardware will be provided Skills & Experience Essential • Strong hands-on experience administering and troubleshooting Linux systems, • Confident use of CLI tools for diagnostics, including analysis of kernel logs, drivers, and system services, • Proven experience writing and maintaining Ansible playbooks, • Proficiency in Python for automation, test execution, and parsing results, • Strong analytical and problem-solving skills with attention to detail, • Excellent written and verbal English communication skills, • High standards for system reliability, consistency, and documentation Preferred / Desirable • Experience working with GPU-based or high-performance compute environments, • Familiarity with workload schedulers (e.g. Slurm or similar tools), • Understanding of data centre hardware lifecycle and server validation processes, • Exposure to high-speed networking technologies, • Experience working with distributed or remote infrastructure teams Performance & Success Metrics • Accuracy and completeness of cluster validation prior to production release, • Reduction in post-deployment hardware or configuration issues, • Quality and clarity of validation documentation and handover materials, • Effectiveness of remediation and coordination with on-site teams, • Reliability and maintainability of automated test frameworks, • Collaboration and communication quality with engineering and operations teams

Our client, Hesta Health, is reimagining women's healthcare starting with postnatal care. Women spend approximately 25% more of their lives in ill health than men, representing a $1 trillion annual lost opportunity globally. Hesta is changing that, and they want a brilliant engineer to help build it. Fresh from closing their seed round, they're hiring their first Founding Engineer. You'll be the technical backbone of the company — working directly with two exceptional co-founders and their founding team to ship Hesta v1 and lay the foundations for what comes next. The Role This is a rare chance to join a mission-driven healthtech startup at day zero and own the entire technical build. You'll work across the stack — frontend, backend, infrastructure — while embedding clinical-grade reliability, data privacy, and AI capabilities from the ground up. What you'll own: • Build end-to-end product features across the full stack (frontend, backend, infra), • Integrate AI/ML capabilities — risk stratification, smart triage, personalisation, • Build privacy-first, regulatory-compliant infrastructure (UK GDPR, NHS DSPT, MHRA), • Shape and evolve the architecture and technical foundations as the company scales, • Establish a lightweight QMS to enable audit-readiness and regulatory compliance, • Contribute to a fast, iterative product loop — design, ship, learn Who You Are Essential: • 5+ years in high-impact, early-stage product teams: you've shipped and scaled full stack products, • Strong backend (Node.js, Python/Flask, FastAPI) and frontend (React, Next.js, Vue) fundamentals, • ML/data science proficiency: Python, SQL, pandas, scikit-learn, PyTorch/TensorFlow, • Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes), • Proven ability to build data-secure, privacy-compliant infrastructure, • Product-minded: you think in outcomes, not just code, • Startup-ready: resourceful, comfortable with ambiguity, bias to action Bonus: • Experience in women's health, digital therapeutics, or regulated healthtech, • Deployed LLMs or predictive models in production environments, • Familiarity with FHIR, HL7, or secure health data pipelines, • Hands-on LLM work: prompt engineering, RAG, fine-tuning (LoRA/QLoRA) The Package • Competitive salary + meaningful equity, • Work directly with and be mentored by two highly experienced co-founders, • Spacious office in Victoria (bike storage, changing facilities, good coffee), • 25 days annual leave + public holidays, • Immediate, company-defining impact — this is day zero Interview Process • Values & Competencies interview (1 hour, virtual), • Technical interview — 90 mins (45 min chat + 45 min live task), • Final 2-hour in-person interview with co-founders Hesta strongly encourages applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. Interested? Reach out to Kelly Gauthier () or George Alexander ()

Java Architect (with Capital Markets exp.) Project description We are building an end-to-end client lifecycle management solution, where technology drives procedural automation and standardization. Our solution includes industry-leading modules and tools widely adopted by financial institutions. This strategic initiative spans the entire client lifecycle—from onboarding to maintenance and offboarding—while providing seamless integration with various in-house products such as Counterparty Manager, ISDA Amend, Outreach360, Request for Amendment, KYC, and Tax Utility. We leverage a mature Java/Spring Boot-based tech stack, supported by AWS infrastructure, along with the latest advancements in the industry to deliver this solution over a multi-year span. Responsibilities • Working across backend, front-end, data, and AI functions, with a focus on modern architectures, AI-driven automation, and cross-jurisdictional data compliance., • Design and architect solutions for complex business challenges in the client lifecycle management space, utilizing your extensive experience with the Java/Spring Boot/Angular/PostgreSQL tech stack and AWS infrastructure., • Provide guidance and technical leadership to development teams on best practices, coding standards, and software design principles, ensuring high-quality outcomes., • Demonstrate a deep understanding of existing system architecture (spanning multiple systems) and creatively envision optimal implementations to meet diverse client requirements., • Play a key role in the development team to create high-quality, high-performance, and scalable code., • Troubleshoot and resolve complex software issues and defects within the Java/Angular/PostgreSQL tech stack and AWS-based infrastructure., • Build systems for KYC, AML, FATCA/CRS, LEI, and other regulatory checkpoints., • Implement automation across entity matching, data validation, and workflow orchestration using AI/ML., • Implement agentic AI and LLM-based services to streamline onboarding, document processing, and exception handling., • Ensure compliance with data privacy, data sovereignty, and regulatory architecture patterns (e.g., regional sharding, zero-data copy patterns)., • Bring in proven experience working with or on Client Lifecycle Management and/or KYC workflow solutions, demonstrating a strong grasp of the subject matter. Skills Must have • Strong Core Java 8+/Java EE design skills, including design patterns., • Significant experience in designing and executing microservices using Spring Boot and other Spring components (JDBC, Batch, Security, Spring Data, etc.)., • Proficient in messaging tools such as Active MQ, SQS, SNS, and Kafka., • Expertise in optimizing SQL queries on PostgreSQL databases., • Strong experience with multithreading, data structures, and concurrency scenarios., • Proficient in using REST APIs, XML, JAXB, and JSON in creating layered systems., • Experience with AWS Services (AWS Lambda, AWS CloudWatch, API Gateway, ECS, ECR, SQS, SNS)., • Familiarity with Open AI APIs, Agentic AI – Crew / LangChain / RAG / AutoGen / NLP / Java / Python / REST / Telemetry / Security / Auditability., • Domain knowledge in client onboarding, KYC, and regulatory workflows, with a deep understanding of the client onboarding lifecycle: initiation, due diligence, approvals, legal entity structuring, and regulatory documentation., • Hands-on experience with entity resolution and matching (graph-based ID resolution, fuzzy match frameworks)., • Proven experience leading a development team on client lifecycle management products., • Experience with enterprise architecture frameworks (TOGAF, Zachman) and threat modeling (STRIDE)., • Knowledge of data partitioning, GDPR, and the latest UI trends, such as Micro Frontend Architecture, is desirable., • Experience with Pega / Appian is a plus

ieso are on a mission to build and deliver clinically safe, evidence-driven AI that expands access to trusted mental health support and improves outcomes at scale. Our vision is to reshape the future of mental healthcare so people everywhere can feel better and live fuller lives and we need exceptional engineers to help us get there. The Role This is a high-ownership, high-impact engineering position at the heart of our digital mental health platform, a product that helps real users manage anxiety and depression every day. You'll work across the full stack: • Frontend: TypeScript & React What You'll Be Doing 🔧 Build & own full stack features - from TypeScript/React frontends to C#, Python, and TypeScript backends across .NET 8/10, FastAPI, and Node 🏗️ Take end-to-end ownership of product areas - architecture, implementation, deployment, monitoring, and iteration 🧭 Lead technical discussions - driving decisions on system design, code quality, and engineering best practices 🤝 Collaborate across disciplines - working closely with product managers, designers, and clinical stakeholders to turn requirements into robust, scalable software 👨 🏫 Mentor junior engineers - through code reviews, pair programming, and knowledge sharing 📈 Champion continuous improvement - raising the bar on quality, testing, and observability across the team ⚙️ Tackle technical debt and performance - identifying and resolving bottlenecks and reliability issues while balancing speed with long-term maintainability 🔄 Contribute to agile delivery - sprint planning, retrospectives, and roadmap discussions to keep the team moving with purpose 🔒 Uphold compliance and safety standards - ensuring all work meets the security and regulatory requirements of a US healthcare environment 🚀 Stay ahead of the curve - keeping current with emerging technologies and advocating for their adoption where they add real value You'll Thrive Here If You... ✅ Bring 7+ years of full stack experience with production-grade expertise in TypeScript & React on the frontend, and C#, Python, and/or TypeScript (across .NET, FastAPI, and/or Node) on the backend ✅ Have a proven track record of leading technical work setting direction, making smart trade-offs, and shipping results in fast-moving environments ✅ Hold a deep understanding of software architecture, RESTful APIs, cloud infrastructure, and modern CI/CD practices ✅ Lead with ownership you treat your work like a product, not a task ✅ Love mentoring others and raising the engineering bar ✅ Are energised by complex technical challenges with real-world consequences ✅ Embrace AI-assisted development tools (Copilot, Cursor, Claude Code) to move faster ✅ Can communicate clearly with both engineers and non-technical stakeholders Bonus Points For... ⭐ Experience with HIPAA or regulated healthcare software ⭐ Background in digital health or mission-driven consumer products ⭐ Familiarity with AI/ML integration in production systems ⭐ Knowledge of ISO 27001, ISO 9001, or SOC2 frameworks Why Join Us? We're not building another app. We're reshaping the future of mental healthcare and we hold ourselves to a standard that matches that ambition. You'll join a team that moves with purpose and speed, values engineering excellence, and genuinely cares about the people using what we build. If that sounds like the kind of place you want to do your best work, we'd love to hear from you. 📍 United Kingdom | 💻 Remote Apply now or share with someone who should. #MentalHealth #SoftwareEngineering #FullStack #TechForGood #Hiring #React #TypeScript #DotNet #Python #HealthTech

AI Engineer London, hybrid, three days onsite Salary up to £85000. This is an opportunity to join a newly built AI function within a global digital transformation consultancy. You will help shape innovative AI solutions for high profile clients while working alongside experienced architects and technical leaders in a team that is being heavily invested in. The Company They are an established global consultancy providing technology and data transformation services across a wide variety of industries. With operations spanning multiple continents, they partner with organisations to solve complex data challenges and to accelerate AI adoption. They are expanding a specialised team dedicated to delivering AI solutions for clients in the audit domain, with significant long term growth planned. The Role • Implement AI agent solutions designed by the architecture team., • Build and deploy production grade models using Python, ML and NLP techniques., • Work with modern LLMs including GPT, Llama, Claude and Mistral., • Contribute to solution development while learning best practice from senior engineers and architects., • Collaborate closely with client facing teams and technical leads as part of a multidisciplinary delivery function. Your Skills and Experience • Strong practical experience with Python for machine learning or NLP., • Hands on exposure to modern LLMs and ability to work with models such as GPT, Llama, Claude or Mistral., • Understanding of how to implement AI solutions rather than build foundational models., • Ability to work collaboratively and contribute to end to end solution delivery. What They Offer • Salary up to 85000 depending on experience., • Hybrid working, three days in the office., • The chance to grow quickly in a newly established AI engineering capability., • Access to industry leading expertise, tooling and enterprise scale AI projects. How to Apply Please apply with your CV and a consultant will be in touch.

Full-Stack Engineer (React / Python / AI) Location: London (Hybrid) Salary: £100,000 + Equity About the Company: An early-stage, well-funded tech startup building AI-powered software to help businesses make smarter decisions and improve operational performance. The team is small, highly technical, and mission-driven, giving you the chance to shape both the product and engineering culture. The Role: We’re looking for a Full-Stack Engineer to join a fast-moving, collaborative team. You’ll work across the stack — crafting sleek UIs in React, building scalable back-end systems in Python, and collaborating with AI specialists to deliver intelligent, high-impact features. Key Responsibilities: • Build and maintain end-to-end product features used by enterprise customers., • Develop modern, responsive interfaces using React/Next.js., • Design and optimize APIs, data pipelines, and integrations using Python (FastAPI/Django)., • Collaborate with design, product, and AI teams to deliver new functionality quickly and reliably., • Contribute to architectural decisions, system scalability, and engineering best practices. What We’re Looking For: • Proven experience as a Full-Stack Engineer in a startup or fast-paced environment., • Strong proficiency in React/Next.js and Python (FastAPI/Django)., • Experience shipping scalable, production-grade software., • Exposure to or interest in AI/ML-driven products., • Startup experience or comfort with high ownership and autonomy is a massive plus. Package: • £100,000 base salary + meaningful equity, • Hybrid (London-based team), • High-impact role with product and technical ownership

Application Engineer - Connect Fibre £40,000 pa plus benefits Work from Home The Role Founded in 2020 by a team of like-minded, very experienced telecoms professionals, we have one vision; to deliver. We are a rapidly growing startup with a bold plan for the rapid rollout of multi-gigabit full-fibre broadband networks and services to communities across the UK. We are seeking a motivated and detail-oriented Application Engineer to join our dynamic team supporting the development, implementation, and maintenance of software applications. Working closely with other engineers and cross-functional teams you will ensure the successful delivery of high-quality solutions that meet business and customer requirements. This is an excellent opportunity to play a big part in our transformation plans. Duties and responsibilities • Design and implement backend services and integrations using Python and modern frameworks., • Build and maintain frontend applications using PHP, JavaScript/TypeScript and frameworks like Angular or Vue., • Troubleshoot and resolve complex technical development issues, providing timely and effective solutions., • Contribute to the creation and maintenance of technical development documentation, including user guides, system documentation, and design specifications., • Conduct regular code reviews to maintain code quality, performance and adherence to coding standards., • Work closely with other engineers, product owners, and other stakeholders to understand project requirements and contribute to the design and development process., • Suggest and implement improvements to the development process, ensuring efficiency and quality in application delivery., • Working closely with the wider Technology team to align system direction and deliver improvements., • Helping shape technical decisions and taking part in solution design discussions. Qualifications and Experience A developer with a proven track record in supporting successful development projects, involved in the full development lifecycle from analysis to development. • Proficiency in at least one programming language - Javascript, Python, PHP, • Understanding of web technologies (HTML, CSS, JavaScript) is a bonus, • Experience with Wordpress and WooCommerce would be beneficial, • Familiarity with software development methodologies (Agile, Scrum, Devops etc.), • Experience of Cloud infrastructures Azure or AWS, • Working experience of API and REST API integrations, • Strong analytical and problem-solving skills to identify and mitigate development risks effectively, • Experience of development and integration of SAAS applications, Hubspot beneficial but not essential, • Knowledge of geopandas, numpy, node or SQL is desirable but not essential, • Experience with GIT and Docker processes beneficial, • Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders Personal Profile & Working Conditions Location: Candidates must be currently resident in the UK and with either UK citizenship or indefinite leave to remain. Candidates will: ▪ Be self-starters, able to demonstrate enthusiasm, tenacity and the ability to prioritise tasks in a rapidly changing environment. ▪ Be able to work effectively in a remote/hybrid working environment with minimal day-to-day supervision. ▪ Be able to demonstrate the ability and willingness to work in a dynamic, rapidly growing organisation. ▪ Be able to collaborate effectively across the organisation. Effective communication is essential. Connect Fibre operates a hybrid working model with main emphasis on home working with intermittent visits to company office locations, in particular the main office in London. Measured on Performance evaluation will be based upon: ▪ Productivity and specific targets to be agreed collaboratively with line manager ▪ Quality of work and feedback from peers and colleagues ▪ Delivery of systems and services within agreed organisation and budget constraints ▪ Collaboration and skills as a team player. ▪ Innovation and creativity. Direct reports • This role reports directly to the Head of Systems Development. The Rewards • Salary: £40,000 per annum, • 25 days holiday plus Bank Holidays plus Birthday Off (pro-rata), • Company Pension Contribution, • Private Medical and Dental package, • £1,500 Employee Referral Scheme, • Family Friendly Support Package Connect Fibre offers excellent team and business building opportunities. Please see for more information on our exciting new business! Interested applicants should, in the first instance, apply here or send an up-to-date CV to: Paul Blunt at Connect Fibre . All applications will remain strictly confidential.

Are you a Senior or Lead Capital Actuarial Analyst keen to step into a role where your expertise directly shapes the financial strength and future growth of a leading, fast-growing insurance company? we are looking for an Actuarial Manager – Capital & Reporting to play a pivotal role within our high-performing actuarial team. Hit Apply below to send your application for consideration Ensure that your CV is up to date, and that you have read the job specs first. Working closely with senior leadership and partnering with Finance, Risk and wider business functions, you will lead the delivery of key actuarial outputs across Solvency II Pillars I, II and III. From producing best estimate liabilities and capital requirements to supporting the ORSA process, you will ensure the business operates with robust, accurate and insightful reporting at its core. This is more than a reporting role. You’ll drive continuous improvement across processes, champion automation and innovation, and contribute to strategic initiatives that shape how the business evolves. You will also mentor and guide junior team members, helping to build capability and maintain exceptional technical standards across the team. Role: Senior Actuarial Analyst, Solvency II Actuary, Actuarial Manager, Senior Capital Actuary, Actuarial Reporting Manager etc. Location: London - Hybrid working (1 office visit every two weeks) Salary: £75k - £85k base + Bonus and great benefits. We’re looking for a qualified (or nearly qualified) actuary with strong Solvency II experience, excellent analytical capability and the confidence to engage with senior stakeholders. xrnqpay Experience across capital modelling, governance, and programming tools such as SQL or Python will set you apart. Sound like something you are keen to be part of…CLICK APPLY and send through a copy of your CV

Company A high-growth construction technology business is hiring a Robotics Software Engineer to support the development and deployment of robotic, automated manufacturing systems – transforming how homes are built through hardware and software. Currently, they are developing the next generation fleet of their platform. Construction is one of the least digitised industries globally, facing major challenges across cost, labour, and delivery. This team is solving that by combining robotics, mechanical engineering, and automation to enable faster, more efficient, and scalable production environments. Responsibilities • Partner with the existing team to meet their launch date of September., • Develop robotics software, utilising a deep understanding of C++ and Python., • Operate in a ROS based architecture to build new features and enhance reliability., • Help identify and handle edge cases before the system ships to clients., • Test and validate software changes on physical hardware in the workshop., • Collaborate closely with the engineering team on priorities as they shift. Requirements • Background in Mechanical Engineering, Mechatronics, or Robotics., • Exposure to robotics, automation, or electromechanical systems., • Direct experience in mechanical engineering and real-world hardware., • Comfortable working hands-on with tools, systems, and physical components. What Stands Out • Internships or placements completed during university, • Experience working with mechanical, electrical, or pneumatic systems, • Hands-on exposure to robotics systems, • CAD experience and ability to work from or produce technical designs, • Personal projects, builds, or engineering work outside of formal environments, • Startup experience or evidence of working in fast-paced, ambiguous settings

If you’re passionate about pushing the limits of embedded software and want your work to have a direct impact on next-generation space systems, this could be for you. We’re working with a pioneering space technology company developing AI-enabled autonomy software for spacecraft. They’re building technology that allows satellites to sense, think, and act independently in orbit, and are now expanding their engineering team in London. What You’ll Be Doing • Designing and developing embedded software for advanced space systems., • Writing real-time code for Linux-based RTOS environments., • Prototyping and testing software on hardware to validate system performance., • Building scalable, modular systems that support autonomous in-orbit operations., • Collaborating with hardware and AI teams to integrate real-world functionality. What You’ll Bring • Strong background in C++ and Python development., • Experience working with embedded Linux or real-time operating systems (RTOS)., • Solid understanding of microcontrollers, device drivers, and hardware integration., • Comfortable debugging, testing, and optimising performance on embedded targets., • A self-starter with a collaborative mindset, able to thrive in fast-moving environments. Nice to Have • Familiarity with communication protocols (SPI, I2C, UART, CAN, Ethernet)., • Knowledge of containerisation (Docker, Kubernetes)., • Experience with BSP generation, real-time kernel configuration, or SoC platforms (e.g. NVIDIA)., • Background in the space, robotics, or autonomy industries. Please get in touch to find out more!

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. What was once technologically impossible is now within our grasp. We’re looking for a Senior Full Stack Developer to join our growing development team. What you will do 🚀 • Design and implement a new high-scale system for millions of users, • Build convenient CI/CD processes and testing pipelines to support quick iterative development and system stability, • Work on ML model development with our team to build robust data pipelines and deploy ML models, • Analyse large corpora of data and build real-time recommendation systems, • Work with large amounts of data in different modalities (text, video, images, audio), • Work in a very cross-functional team, side by side with mobile developers, product managers, ML engineers, and designers Essential skills 🙏 • Deep Python and AWS knowledge, • Architecture planning and estimation skills, • Experience with CI/CD automation pipelines, • Proficiency with Terraform and Docker, • SOLID, KISS principles, decomposition principles, and resolving monolith vs. microservices trade-offs., • Experience with SQL and NoSQL databases., • Understanding of best practices in building scalable mobile APIs (REST, HTTPS, etc.)., • Good principles of security management (secrets, protocols, etc.)., • Experience with some Python web frameworks (Django, Flask, FastAPI, etc.). Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with real-time and/or in-memory databases, • Experience with frontend frameworks, • Experience in developing educational products, • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.), • Experience (even non-production) with different types of programming languages What we can offer ✨ • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • A crew all about people and products, • Work from our London office (4 days per week), • Freedom to suggest, implement, and test ideas, • Unlimited learning & development budget, • We also offer substantial relocation assistance to support your move, if required Interview Process 🧪 3 technical interviews, which will all cover • Problem Solving, • Architecture Design and Product Design, • Domain/Platform Knowledge After all interviews, we would like to invite you to work with us in our London office for 1-2 paid test days. If everything goes well, we will make an offer to the successful candidate.

AI Engineer Job Tenure: Full-time, permanentSalary: CompetitiveCompany Description Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value. You'll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good. What you’ll do: • Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits., • Support the data science and AI team in deploying scalable AI applications across the enterprise., • Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS., • Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries., • Develop prompts, fine-tune models, and track results., • Evaluate third-party GenAI and LLM technologies for cost-benefit analysis., • Deliver projects from scoping and R&D to production deployment and benefit measurement., • Follow and contribute to standards for code quality, R&D, and model development., • Engineer data for optimal AI application performance., • Advise peers and senior management on business and customer impact., • Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL., • Liaise with third-party partners and stay updated on field advancements and regulations., • You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences., • You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business., • PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent,, • Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting,, • Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results., • Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution., • Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git., • Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc., • Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors., • Knowledge of OO programming and software design, i.e., SOLID principles., • Knowledge and working experience of AGILE methodologies., • Familiarity with Databricks, and RAG application architecture a plus, • Competitive salary that reflects your skills, experience and potential., • Discretionary bonus scheme that recognises your hard work and contributions to esure’s success., • 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday., • Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances., • Company funded private medical insurance for qualifying colleagues., • Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members., • We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources., • Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities., • Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues., • We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.

Overview Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights. In turn, improving how sports fans interact with their favourite sports teams and competitions. How do we add value? * Media outlets add a little magic to their coverage with our stats and graphics packages. * Sportsbooks can offer better predictions and more accurate odds. * The world's top coaches are known to use our data to make critical team decisions. * Sports commentators can engage with fans on a deeper level, using our stories and insights. Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine. We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience! Responsibilities: * Researching, developing, and implementing innovative machine learning techniques to Stats Perform’s wealth of sports data, across various sports, such as soccer and tennis. * Productizing your models alongside engineers and product teams, in a quick and efficient way. * Presenting your solutions to other internal teams, broadening AI proficiency in the company. * Providing technical guidance to various teams on the artificial intelligence approaches that our team uses. * Identify new AI solutions for emerging problems, create requirements and propose an outline a roadmap for delivering the project. * Support, train and mentor team members on best machine learning implementation practices. Required Qualifications: * Master’s or PhD in data science, computer science, mathematics, statistics or related STEM fields. * 3+ years of experience working as a data scientist (or similar role). * Expert proficiency of Python and experience using SQL, alongside using common ML/AI packages (TensorFlow, PyTorch, XGBoost, etc.). * Familiarity with statistical (e.g. GLM, GAMs) and deep learning techniques (e.g. neural networks, transformers, diffusion models, etc.). * Comfortable designing and creating neural network architectures, tree-based methods and applying upcoming technologies from scratch. We want you to be the creator of the next generation of AI models from Stats Perform! * Experience deploying models in cloud environments (such as AWS/Google Cloud), making models production-ready and integrating them in end-to-end cloud pipelines. At Stats Perform you will be co-responsible for ensuring the models you have created are performing in a real-world environment. * Fluency in English; excellent verbal and written communication and presentation skills, including an ability to effectively communicate with both business and technical teams, and both internal and external stakeholders. Desired Qualifications: * Experience with sports event and/or tracking data and deep interest in sports, in particular soccer and tennis. * Knowledge of the sports analytics landscape and latest research. We want to stay on top of the latest research in the sports world and apply the latest techniques in our projects. Why work at Stats Perform? We love sports, but we love diverse thinking more! We know that diversity brings creativity, so we invite people from all backgrounds to join us. At Stats Perform you can make a difference, by using your skills and experience every day, you'll feel valued and respected for your contribution. We take care of our colleagues We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, ‘No Meeting Fridays,’ and flexible working schedules. We pull together to build a better workplace and world for all. We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups. Diversity, Equity, and Inclusion at Stats Perform By joining Stats Perform, you'll be part of a team that celebrates diversity. A team that is dedicated to creating an inclusive atmosphere where everyone feels valued and welcome. All employees are collectively responsible for developing and maintaining an inclusive environment. That is why our Diversity, Equity, and Inclusion goals underpin our core values. With increased diversity comes increased innovation and creativity. Ensuring we're best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do.

Introduction Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across nine sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. The Role: This role will be part of our BlueBear Business in Bedfordshire. This Senior Electronics Engineer position will work in the electronics design and prototyping department, performing key electronics designs in support of larger projects and guiding of electronic engineers within the team. This role is suited to a person with extensive experience in detailed electronic design, strong knowledge of safety- and mission-critical development environments, including DO-254 compliance and controlled design documentation processes. Key Responsibilities: Technical Leadership & Design Execution: * Own and drive the electronic hardware designs for specific designs, implementing full design lifecycle from requirements capture through to production release. * Perform detailed design activities for digital, mixed-signal, Application Processor and FPGA-based, and high-reliability systems. * Provide expert review and approval of schematics, PCB layouts, component selection, and detailed design documentation. Design Standardisation & Quality Governance: * Act as one of the organisational Subject Matter Expert for DO-254 processes, standards, and industry best practice. * Maintain design assurance processes and verification traceability across safety-critical electronics developments. * Oversee configuration control, Verification and Validation activities Project & Stakeholder Coordination: * Work cross-functionally with Systems Engineering, Software, Mechanical, Test, and Programme Management teams to ensure aligned delivery. * Support bid development, cost estimation, design planning, and reporting to internal and customer stakeholders. * Ensure workloads, priorities, project risks, and dependencies are managed effectively to meet schedule commitments. Qualifications and Skills: Essential: • Strong project and programme management experience., • 5-8 years experience in electronics hardware design across digital and mixed signal systems, • Experience applying and designing to DO-254, • At least 1 year of wiring and PCB rework experience., • Significant expertise in detailed electronics hardware design., • Detailed understanding of the electronics manufacturing processes, • Excellent attention to detail., • Process driven, ability to read legislation and implement processes to ensure adherence., • Excellent time management/prioritisation skills, • Highly organised and able to work multi projects in fast paced environment, • Adaptable personality with professional approach, • Good verbal and written communication skills, • Excellent organisation skills, • Conscientious, with a proactive work ethic Desirable: • Experience of interfacing with subcontractors, • Experience writing VHDL or Verilog, • Experience writing embedded C and Python Subject to UK MoD security clearance vetting to a minimum SC level As a National Security Vetting clearance is required for this role, applicants will be required to hold National Security Vetting clearance to SC level or have the ability to gain it. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.

Applied AI / Automation Engineer 📍 London (Hybrid) 💰 Up to £120,000 (Depending on experience) 📅 12-month FTC We’re partnering with a highly regarded investment-focused organisation to hire an Applied AI / Automation Engineer into their London team. This is a hands-on, high-impact role focused on building an intelligent automation platform that transforms complex operational workflows into scalable, production-grade systems. The Role You’ll take ownership of designing and delivering an end-to-end AI-driven reporting and automation platform, working closely with Data Science and operational stakeholders. This is a build-from-scratch opportunity — ideal for someone who enjoys solving real-world complexity and turning manual processes into robust, automated systems. What You’ll Be Doing • Designing and building an automated reporting platform from the ground up, • Creating intelligent workflows across data ingestion, validation, and reconciliation, • Implementing AI-driven and agent-based automation to streamline operations, • Introducing exception handling and human-in-the-loop systems where needed, • Ensuring systems are accurate, auditable, and production-ready, • Partnering closely with product and operations teams to translate business problems into scalable solutions, • Evolving tooling into a maintainable internal product, not just scripts What They’re Looking For • Strong experience in Python, SQL, and automation engineering, • Proven track record building data pipelines and production systems, • Experience integrating systems via APIs and structured data feeds, • Solid understanding of CI/CD, testing, and system reliability, • Strong systems thinking and end-to-end architecture capability, • Ability to work closely with non-technical stakeholders Nice to have: • Experience in financial services / regulated environments, • Exposure to reconciliation, accounting, or control processes, • Experience with workflow orchestration tools or internal platforms, • Frontend/tooling exposure (e.g. React / TypeScript) Why Join? • Opportunity to build a greenfield AI platform with real business impact, • Work at the intersection of AI, automation, and complex financial systems, • Highly collaborative environment with strong technical ownership, • Chance to shape how AI is applied to real-world operational workflows

Front Office Python Developer (Prop Trading Firm) London | Hybrid | Trading Technology A leading digital asset trading firm is looking for a Front Office Python Developer to join its London team, working at the heart of the front office alongside traders and quants. This is a hands-on role in a small, high-impact team, focused on building and scaling the systems that directly support trading, decision-making, and data flow across the business. What you’ll be doing: • Design and build core trading systems used in day-to-day trading activity, • Work closely with traders to develop tools that improve execution, monitoring, and performance, • Develop real-time systems and data pipelines to capture and process trading activity across multiple venues, • Contribute to trade capture, reconciliation, and position-keeping systems, • Build internal tooling and infrastructure supporting data analysis and ML workflows, • Take ownership of projects from concept through to production What we’re looking for: • Strong experience with Python (Python 3), • Experience building real-time systems, data pipelines, or backend services, • Solid understanding of SQL/databases, • Comfortable working in Linux environments, • Interest in trading, crypto, or financial systems

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

If you’re bored of “AI” that’s just a chatbox on top of GPT, this is for you. This could be your chance to work on a platform used by PE funds, insurers, and other high‑stakes teams to actually automate work on millions of documents – real workflows, not cool demos that die in slide decks. We’re looking for an AI Solutions Engineer who loves three things: • Writing python, • Untangling messy business problems, • Getting stuff into production. You’ll sit in the thick of it – pre‑sales, build, and post‑sales expansion – alongside sales, product and founders. What you’ll actually do • Jump into late‑stage deals and help figure out “what are we really solving here?”, • Design and build multi‑step, deterministic agents with humans in the loop where it matters, • Wire everything up: APIs, CRMs, spreadsheets, inboxes – whatever the customer actually uses, • Write Python to do the glue work: transforming schemas, running proprietary models, stitching weird edge cases together, • Keep 8–10 projects moving at once, making smart trade‑offs, not perfect architecture diagrams Some flavour of projects • A PE fund that gets ~300 pitch decks/reports a week – the team you would be joining helped them auto‑extract the numbers, run their LBO models in Python, and ship a partner‑ready deck every week, • Underwriting workflows that need full audit trails back to the original docs, • Real estate teams who want to ask a question about thousands of leases and get an answer – with citations – in seconds You might be a fit if • You write solid Python and actually enjoy debugging ugly real‑world data and integrations, • JSON, APIs and webhooks are just part of how you think about systems, • You’ve built data/ML/automation workflows before and can roughly sketch how they fit together This is not for you if • You want a pure research role or just to fine‑tune models all day, • You hate talking to customers, or need a fully scripted playbook What you get • A front‑row seat in one of the more interesting corners of applied AI, • A tight Solutions Engineering team in London that actually likes being in the office together, • A role where what you build is live, used, and directly tied to revenue and renewal FAQ's Salary: £80 000 - £110 000 + Equity + Bonus Office: In Soho Days in the office: 3 days week (most of the team do 4 as they like working together) If this sounds like you and you want to know more, send an email to with “Solutionize Is Not A Word” in the subject line. Include a CV if you have one ready, otherwise a LinkedIn profile and 3-4 lines in your own words as to why this role sounds interesting. All applications received as above will be reviewed by a human (me) and will get feedback. LinkedIn applications may not all be reviewed due to volume and lack of relevance.

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

💼 Role: Lead Python Engineer (Hands-on Team Lead) 📍 Location: London – Hybrid (3 days office / 2 days WFH) 💰 Salary: Up to 130k base 🏦 Industry: Fintech Platform We’re working with a profitable, high-growth UK fintech building a platform used by wealth and advisory firms to manage investment accounts, portfolios and trading workflows. Following a recent Series C funding round, the company is scaling quickly and continuing to expand the product platform — both in terms of scale and functionality. As a result, they’re growing the engineering team and looking for a Lead Python Engineer to take ownership of a core part of the platform. The Role This is a hands-on technical leadership role (50-70% hands-on), leading a small backend pod while remaining closely involved in development. You’ll be responsible for building and evolving core backend systems that support investment workflows, financial data processing and trading-related operations. What You’ll Be Working On • Building scalable backend services in Python, • Designing systems that process financial data and investment workflows, • Leading architecture and technical design for new features, • Running a small engineering pod and guiding delivery, • Improving reliability, performance and resilience of core systems, • Mentoring engineers and raising engineering standards across the team What We're Looking for • Extensive experience with commercial Python backend development, • Experience building production backend systems, • Experience leading projects or small engineering teams, • Strong understanding of distributed systems or data-heavy platforms, • Comfortable working in a fast-moving scale-up environment Why apply? • Work on core financial infrastructure, • Join a profitable company with strong funding and real platform adoption, • Lead a pod while staying deeply hands-on technically, • Help shape a platform that is growing quickly in both scale and capability Feel free to contact Chris Williams with any questions.

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Forward Deployed Software Engineer | London (Hybrid) | Up to ~£150k depending on level Not every engineering role is about shipping neat features into clean environments; some are about walking into ambiguity and making complex systems work in the real world. I’m partnering with a high-growth technology company that turns existing cameras and sensor infrastructure into real-time operational intelligence. They don’t replace hardware. They plug into what’s already there and layer intelligence on top, helping organisations detect threats, retrace events and make faster decisions. Everything is built privacy-first. They’re hiring Frontier Engineers, with Rust as the primary language in the stack.🦀 This is fundamentally a Rust-focused role. You’ll be building and extending Rust services that process live data, power real-time decision making and operate in production Linux environments. The work sits close to systems, networking and deployment rather than pure frontend or SaaS-style product engineering. There is Python in parts of the ecosystem and occasional TypeScript when functionality needs exposing through the UI, but Rust is central to the core services and performance-critical components. You’ll work directly with customers, understand messy operational environments, and build what’s needed to make the platform deliver genuine value in production. That could mean designing new Rust services, debugging distributed systems, working across cloud or bare metal deployments, handling networking constraints or tuning performance under real-world load. You’ll need strong fundamentals, comfort operating in ambiguity and the confidence to take ownership. The team is small, sharp and direct. High autonomy, honest feedback, real responsibility. There isn’t a rigid salary band. Packages can reach up to around £150k depending on level and experience. If you enjoy building serious systems in Rust and seeing them run outside of a sandbox, this is worth a conversation.