Python jobs in United Kingdom - Page 20

📌 Data Engineer – Onsite (Central London) ⭐️ £50,000 – £55,000 + benefits ⭐️ 5 days onsite – Central London ⭐️ SQL, Python, API development ⭐️ Financial background preferred Join a leading investment management firm with a strong reputation for innovation in the financial sector. This is a fantastic opportunity to play a key role in building and maintaining robust data infrastructure supporting high-value investment strategies. We’re looking for a hands-on Data Engineer with solid SQL skills and experience in building and maintaining back-end APIs. • SQL - strong experience essential., • Python experience required., • Proven experience in API development and maintenance., • Previous experience within a financial services or investment management environment preferred., • Strong analytical mindset and attention to detail., • Excellent problem-solving and communication skills.

We’re seeking a Staff Computer Vision Engineer to help scale our vision AI product into a high-performing, reliable, production-ready platform. You’ll contribute deep technical expertise, scientific rigor, and a strong product-focused perspective. This position is ideal for someone who thrives on tackling complex challenges, staying deeply engaged in the work, and influencing how a team collaborates and achieves success. The role: • Lead CV Model Development — Design, train, and optimise detection, recognition, segmentation, and tracking models, balancing accuracy, speed, and robustness for real-world retail environments. Enhance synthetic data pipelines to improve generalisation and domain adaptation., • Advance Large Vision Models (LVM) — Improve performance, scalability, and adaptability of our in-house LVM for diverse retail use cases., • Deliver Proven Solutions — Experiment rapidly using PyTorch. Contribute to benchmarking and ongoing improvements., • Collaborate Across Teams — Work with Product, Infrastructure, and Customer teams to integrate models into workflows. Provide technical leadership aligned with business goals., • Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation., • Lead a team of ML Engineers Requirements • PhD (or equivalent) in Computer Vision, Machine Learning, or related field., • Proven record deploying large-scale CV models in production., • Strong Python skills with PyTorch or TensorFlow expertise., • Deep understanding of modern CV architectures, especially LVMs and Transformers., • Experience with multimodal data (images, video, text) and MLOps workflows., • Hands-on, self-directed, evidence-driven, and collaborative, with excellent communication skills for both technical and non-technical audiences This is an excellent opportunity for an experienced Staff Computer Vision Engineer to join a leading company that are driven towards success! For further information on this Staff Computer Vision Engineer position, apply below! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

Senior Data Engineer - Commodities - 140,000k + bonuses You don’t need any prior buy-side experience to join this firm, where you’ll join this new team within this established firm whose mission is to bridge the gap across technology and trading. This global energy and commodities firm is seeking an experienced Senior Data Engineer to join its London office. You will be leading the development of a variety of projects, from trading applications projects that directly support the front office trading activities to mentoring juniors. You’ll work closely with the business users to understand what they need, before building out the application. You’ll see the impact you’re having, daily. Key responsibilities include building and optimising data pipelines, managing cloud-based storage and processing systems, and partnering with analysts and data scientists to deliver production-ready data solutions. They are looking for an experience data engineer with strong skills in Python, SQL, and modern cloud technologies to take a leading role in a forward-thinking, data-driven organisation. No up-to-date CV required.

Lead AI Engineer 📍 London (3 days a week) | 💰 £90k–£135k + EMI shares | ❌ No sponsorship I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value. They’re looking for Lead ML/AI Engineers with strong software engineering expertise who can deliver production-ready AI solutions and upskill others in a fast-paced, consultancy-driven environment. You'll be a senior in title, but operating as a tech lead in a flat structure. What they’re after: • 5+ years’ experience building enterprise-grade software (Python, microservices, distributed systems), • Proven track record deploying LLM-based applications, • Clear evidence of Software skills (CI/CD etc.), • Ability to lead small teams, own solutions end-to-end, and mentor engineers, • Strong communicator with experience working in client-facing or consultancy settings The package: • Up to £135k base + EMI share options, • Private medical, wellness benefits, pension, life cover, • 25 days holiday + bank holidays, • Hybrid working, 3 days a week in London This is a chance to join a profitable, high-calibre business at the forefront of applied AI, where you’ll shape solutions and influence technical direction across multiple projects. If this sounds like you, apply with your CV!

Do you want to get on the AI train? This is your chance. You're going to be coming in to build out various AI solutions, specifically LLM/GenAI products that have been designed for clients. You'll be joining a team of AI Engineers who have the core AI experience, but in some cases aren't hardcore engineers who can build out the in-depth software backend. That's where you'll come in. This is still a heavily focused AI job, you'll be hands on with the AI solutions and the build into production, but the great part is that you don't have to be as strong on the AI side as the true AI Engineers, your key impact will come on the Python side. Over time, you'll pick up the expert level skills in AI and vice versa for the others. So, with that, it'll be no surprise that you're going to need to be a great Python software developer. Additionally, strong experience working with data and building microservices will also be a huge plus. Some experience with LLMs/GenAI will be necessary but you don't need to be an expert. You'll be joining a scale-up AI Consultancy who are working closely with clients across all industries to build cutting edge AI technology. You will be liaising with these clients too, understanding their projects and building the solution collaboratively. It's a hybrid working environment, with some need to travel to client site. Starting salary will be up to £130,000 plus a range of benefits that are continuously improving as the company grows. Want to build your AI skills whilst leveraging your Python development skills? Get in touch. No up-to-date CV required.

Do you want to enhance your AI experience? This is your chance. You're going to be coming in to build out various AI solutions, specifically LLM/GenAI products that have been designed for clients. You'll be joining a team of AI Engineers who have the core AI experience, but in some cases aren't hardcore engineers who can build out the in-depth software backend. That's where you'll come in. This is still a heavily focused AI job, you'll be hands on with the AI solutions and the build into production, but the great part is that you don't have to be as strong on the AI side as the true AI Engineers, your key impact will come on the Python side. Over time, you'll pick up the expert level skills in AI and vice versa for the others. So, with that, it'll be no surprise that you're going to need to be a great Python software developer. Additionally, strong experience working with data and building microservices will also be a huge plus. Some experience with LLMs/GenAI will be necessary but you don't need to be an expert. You'll be joining a scale-up AI Consultancy who are working closely with clients across all industries to build cutting edge AI technology. You will be liaising with these clients too, understanding their projects and building the solution collaboratively. It's a hybrid working environment, with some need to travel to client site. Starting salary will be up to £130,000 plus a range of benefits that are continuously improving as the company grows. Want to build your AI skills whilst leveraging your Python development skills? Get in touch. No up-to-date CV required.

🚀 We're Hiring! Technical Support Engineer - Perm - Remote (UK based) Up to £60,000 🚀 My client is urgently hiring a Technical Support Engineer. Are you passionate about tech, love solving complex problems, and have experience working across hardware and software? This remote role based in the UK could be for you. You'll work directly with top-tier clients (Google, Meta, BMW, Nintendo & more), support sales through demos, and collaborate with product & engineering teams to deliver solutions that matter. 💡 Ideal if you have: • 4+ years in software-hardware prototyping (Raspberry Pi, Arduino, etc.), • Strong backend & networking knowledge (Docker, Linux, SQL), • Solid experience with JS/TS, Python, C++, • Great communication and a customer-first mindset 🎯 Bonus: AWS, Unity, Figma, IoT/Voice API know-how

🚀 Senior Backend Engineer | AI Infrastructure | London (Hybrid) We’re partnering with a fast-growing AI infrastructure startup that’s redefining how organizations deploy and scale AI technologies. Their platform enables global enterprises to implement, monitor, and continuously improve their AI and tech rollouts — giving teams true “speed-of-innovation” superpowers. 💡 Backed by strong revenue growth and elite investors, this small team is already delivering to paying enterprise clients — and scaling fast. 🧩 The Role As a Senior Backend Engineer, you’ll take ownership of core backend systems powering an advanced AI platform that integrates production-ready LLMs and agentic systems. You’ll architect scalable backend services, build RAG pipelines, and integrate AI components into distributed systems that enable real-world, production-scale AI deployment. 🔧 What You’ll Do • Architect and develop backend systems (Python, FastAPI, Flask, NodeJS), • Design and implement RAG pipelines (LangChain, Qdrant, embeddings), • Build ETL & CI/CD workflows (Airflow, dbt, MLFlow), • Integrate AI/LLM components into backend services, • Ensure reliability, scalability, and maintainability across systems, • Collaborate with a small, elite team of engineers and AI researchers 💼 About You • 4+ years of backend experience (Python, distributed systems, async APIs), • Proven experience integrating AI or LLM systems (LangChain, vector DBs, etc.), • Hands-on with some of Airflow, dbt, MLFlow, ETL, and CI/CD workflows, • Experience in early-stage startup environments — self-starter mindset, • Excited by ambiguity, ownership, and building from zero to one, • Ideally: background in workflow automation, process analytics, or user-driven tech platforms 🌍 The Offer • £80,000–£105,000 base salary (DOE) (can scale higher for strong candidates), • Equity options + startup benefits package, • Hybrid work (2–3 days/week in London), • No sponsorship available ⚡ Why Join • Build the foundation of a world-first Agentic Tech Deployment Platform, • Work hands-on with LLMs and AI integrations at production scale, • Join a world-class team at the intersection of AI, infra, and enterprise scale, • Shape key systems, have real ownership, and grow as the company scales

Job Title: Junior AI Engineer Location: London (hybrid – meet 1–2 times per month) Type: Permanent Salary: £40,000 + stock options Interview Process: 2–3 stages We’re hiring for a founding AI Engineer to join a startup building AI agent infrastructure for regulated industries. They are a Seed stage company backed by a Leading London VC and you will work closely with the CTO who is a previously exited AI Founder. The product already has an MVP and a fine-tuned LLM. The next step is scaling the organisation as they look to move towards their Series A. Please only apply if you have a Masters + in Computer Science What you’ll do • Build and fine-tune AI models (LLMs and transformer-based architectures)., • Work directly with customers to integrate and test new features., • Develop and improve core components of the AI agent framework., • Gather and act on client feedback to enhance product performance., • Take part in design and architecture discussions. About you • Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar)., • Strong Python skills (Pandas, NumPy)., • Experience or exposure to NLP, transformers, and LLMs., • Familiarity with ML tools like Weights & Biases or MLflow is a plus., • Curious, proactive, and confident working independently., • Ideally based near London for occasional client visits. 📩 Interested? Message me here or email

Senior Data Engineer | Microsoft Fabric🧵 | £60,000-£80,000 We’re working with a growing consultancy known for delivering modern, scalable data solutions. Their work sits at the intersection of strategy, engineering and innovation, empowering organisations to unlock value through cutting-edge Microsoft technologies. As part of their continued growth, they’re now seeking a Senior Data Engineer to take a pivotal role in delivering enterprise-grade data solutions, with a strong focus on Microsoft Fabric and the wider Azure ecosystem. What you’ll do: • Lead the design and implementation of data platforms powered by Microsoft Fabric, • Guide delivery teams through complex builds across cloud-native architectures, • Bridge the gap between hands-on engineering and technical strategy, • Collaborate closely with clients and internal stakeholders to translate needs into scalable solutions What you bring: • Deep experience with Microsoft Azure, particularly around data services, • Proven track record delivering with tools such as Fabric, Synapse, or Databricks, • Proficiency in SQL, Python, and modern data engineering patterns, • Leadership experience within engineering or delivery teams, • A consultancy mindset - adaptable, curious, and client focused Location & Flexibility: Primarily remote, with periodic team sessions in London Why consider this? 💰Salary: £60,000-£80,000 🚀Be part of one of the first waves delivering at scale on Microsoft Fabric 🤝Work in a culture that values learning, innovation, and trust 📈Access to advanced training, cloud certifications, and fast-paced career progression

Front-End Engineer Location: London (Onsite, 5 days per week) Salary & Benefits: £80,000– £120,000 + Benefits Investigo are partnered with an innovative AI technology company. They’re on a mission to transform the way businesses leverage systems through AI-powered solutions, and they’re looking for a Front-End Engineer to help shape and deliver their cutting-edge platform. This is an opportunity to join a VC-backed, high-growth scale-up where you’ll work alongside world-class engineers and product specialists from some of the most recognised global tech companies. You’ll be designing high-performance applications used by organisations across multiple industries, including healthcare, logistics, education, and hospitality. The Role • Lead the development of scalable, responsive, and high-performance user interfaces for a next-generation AI-powered platform., • Collaborate closely with product managers, designers, and back-end engineers to deliver a seamless, intuitive user experience., • Build and maintain a reusable component library to ensure consistency and quality across the platform., • Contribute to frontend architecture decisions and help define technical best practices for the team., • Optimise performance and ensure applications are reliable, maintainable, and efficient. Skills & Experience • Strong experience with React and TypeScript, • Experience working with component libraries (e.g. Storybook, Material UI, Chakra UI, or similar)., • Familiarity with frontend state management tools and data-fetching frameworks., • Exposure to backend or cloud technologies (e.g. Python, AWS, databases) is highly beneficial., • Comfortable leading large-scale frontend projects, setting coding standards, and mentoring other developers., • Strong communication skills to collaborate effectively with designers, engineers, and stakeholders If this sounds like your next challenge, please apply online or email me directly at .

Company Description At Affinity Labs, we’re building the future of company creation, a full-stack AI venture studio that partners with content creators to co-found authentic, scalable software businesses. By combining AI-native development with creator-led distribution, we're pioneering a new model of monetization by to rapidly build, launch, and scale digital ventures aligned with creators and their audiences. We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship. Role Description This is a full-time on-site role for a Founding Engineer, located in the London Area, United Kingdom. The Founding Engineer will be responsible for leading the technical development of new software products, collaborating closely with content creators and their management teams, and implementing AI-driven solutions. The role also involves hands-on coding, system architecture design, and ensuring scalability and reliability of the software. The Founding Engineer will work in a fast-paced, dynamic environment and contribute to the overall strategy and growth of digital ventures. Responsibilities • Code with AI-first speed. Use AI to turn product specs into production-ready React, Supabase, and serverless back-ends in days, not weeks., • Architect for scale (and scrappiness). Apply clean, hexagonal patterns so v1 can evolve without rewrites., • Prototype → pilot → product. Move fast through validation loops: hack the MVP, shadow users, ship the fix, repeat., • Wear many helmets. One sprint you’re spinning up CI/CD; the next you’re tweaking prompts or jumping on a creator livestream to debug user feedback in real time., • Set the engineering culture. Establish the rituals, docs, and testing standards that future hires will learn from you. Requirements • Full stack developer, • AI-native developer that has used or experimented with the latest AI development tooling, • Strong coding and software development skills in languages and with tools such as ReactNative / Flutter / Next.js, Supabase / Postgres, Python, • Experience in system architecture design and implementation, • Knowledge of AI technologies and machine learning algorithms. You track the latest AI tools, play with new MCPs, and deploy multi-agent systems, • Experience in startup environments and rapid product development, • Bachelor's or Master's degree in Computer Science, Engineering, or related field, • Action oriented with strong bias toward rapid execution and experimentation. Nice to Have's • Prompt-engineering or fine-tuning experience, • Familiarity with Stripe, Discord, TikTok or other creator-economy tools, • Side hustle, hackathon wins, or open-source contributions, • Shipping Experience: You’ve shipped AI side projects, or research, that prove you can learn fast and finish. Why this role is a-career launchpad • Own the code & the company. You step in as Founding Engineer #1, receiving a meaningful equity stake from day one., • Ship faster with AI at your side. We’ve baked AI tools into our workflow so you spend time solving problems, not yak-shaving boilerplate., • Ride a rocket, not a conveyor belt. Affinity Labs is a venture studio that partners with top content creators to turn influence into scalable software. Think “Prime for software”, • Grow like crazy. You’ll architect, build, and launch multiple products each year. The shipping reps you’ll get in 12 months here would take 3 - 4 years in a typical startup., • Learn from builders, not bosses. You’ll work shoulder-to-shoulder with a founding team that has scaled VC-backed startups, closed multi-million-pound term sheets, and shipped products used by millions.

Role: Senior AI/ML Scientist – Personalization & GenAI (Dubai based) Join a high-performing Data Science team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you’ll help define the future of personalization and user engagement using Generative AI and advanced machine learning. Key Responsibilities • Lead end-to-end AI transformation focused on personalization in a consumer-facing application., • Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI., • Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements., • Design and deploy data/ML instrumentation to extract insights and optimize the product experience., • Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses., • Build and scale machine learning algorithms and pipelines to production using big data technologies., • Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications., • Design and evaluate A/B tests and communicate results across cross-functional teams., • Define, implement, and monitor key performance metrics for AI-driven product features., • Stay up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization. Requirements • 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data., • Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred), • Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment)., • Expertise in deep learning architectures (e.g., attention models, transformers, retrieval models)., • Hands-on experience with LLMs and GenAI technologies., • Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive., • Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design., • Solid background in ranking, recommendation, and retrieval systems., • Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.)., • Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy., • Bonus: Experience with geospatial data and advanced analytics platforms.

Lead Data Engineer London/Hybrid Circa £95k-£100k + bonus + benefits Fabric, Azure, Python Lead Data Engineer with a strong Azure skillset is required by global business. This is a fantastic opportunity to shape the data landscape of a business that’s investing heavily in modern data platforms and looking for someone to set the standard. You’ll join a small but highly capable data team that’s centralising and unifying data across multiple international divisions with the goal to create a single, coherent view of the business through a shared data ecosystem built on Microsoft Fabric. Key Responsibilities: • Lead the effort to define and implement data engineering standards across divisions., • Collaborate with colleagues in the UK and Europe to unify data models and drive common practices., • Troubleshoot and optimise pipelines and processes across Fabric, Databricks, and Azure Data Factory., • Partner with engineers, analysts, and business leaders to ensure that data is consistent, reliable, and ready for advanced analytics., • Help shape communities of practice and encourage collaboration across international teams., • Bring strategic thinking to how data supports business decisions, not just technical delivery. Key Skills: • Deep experience with Azure, including Python, Spark, Azure Data Factory, Databricks, and related tools., • Experience with MS Fabric, • A strategic mindset that can translate business needs into scalable technical solutions., • Strong collaboration skills to work with teams in different countries and cultures; a collegiate, idea-driven approach is key, • A troubleshooting ability to dive into a problem, diagnosing issues, and finding elegant solutions., • Experience building data models, pipelines, and architectures that can scale across a complex, multi-division organisation. Why apply? This is a great opportunity to help define how data is used and governed across an entire business line, with exposure to modern technologies including Microsoft Fabric, Databricks, and cutting-edge data architecture practices.

Machine Learning Engineer Location: West London | On-site An innovative deep-tech company developing next-generation computing hardware is looking for a Machine Learning Engineer to join their growing team in West London. This is a unique opportunity to work at the intersection of machine learning, advanced hardware design and high-performance data processing. You’ll help build and optimise models that push the boundaries of AI efficiency and capability, working closely with multidisciplinary teams across software, hardware and research. You’ll play a key role in developing and refining new ML architectures, designing input/output encoding methods, and conducting rigorous benchmarking to evaluate and improve performance. This role is ideal for an engineer with a strong foundation in ML who enjoys both conceptual design and hands-on model development. Responsibilities • Design and optimise novel machine learning architectures for high-dimensional and visual data., • Develop and test hybrid physical/software ML models tailored to next-generation computing platforms., • Design and evaluate data encoding, preprocessing and postprocessing methods., • Build tools and pipelines for performance benchmarking and model evaluation., • Research and adapt state-of-the-art ML and computer vision techniques to new hardware paradigms., • Collaborate cross-functionally with hardware, software and research teams. Requirements • Strong background in machine learning algorithm development and optimisation., • Proficiency in Python and modern ML frameworks such as PyTorch, JAX or TensorFlow., • Experience with data modelling, preprocessing and performance benchmarking., • Understanding of ML evaluation metrics and model analysis methods., • Excellent communication skills and collaborative mindset., • 3+ years’ experience in ML, computer vision, data science or a related quantitative field. What’s on offer • £100k+ salary depending on experience., • Stock options and pension contributions., • 25 days annual leave + bank holidays., • Annual training and development budget., • A chance to work on cutting-edge AI technology in a fast-growing deep-tech environment with strong career progression potential. If you’re interested in this role and have all the necessary experience, then apply now. Otherwise, if you’re looking for other AI/ML and computer vision opportunities, reach out to Oscar Harper at IC Resources.

Data Software Engineer • Opportunity for a Data Software Engineer to join a market leading Software House company in London, • Salary up to £120,000 + fantastic benefits including our share options, collaborative working culture and exciting growth opportunities and more WHAT WILL YOU BE DOING? As a Data Software Engineer, you’ll help design and build an AI-powered data migration and integration platform from the ground up. You’ll own the development of scalable data pipelines, cloud-based architecture, and custom software components, working closely with senior engineers to deliver reliable, high-performance systems that power AI-driven insights. WHO WE ARE: As a recently founded company we develop technology to modernise workflows in the pet care sector. Our platform uses automation and AI to simplify routine tasks, reduce administrative burdens, and improve communication, allowing our professionals to focus more on care. With early funding and industry partnerships, we are gaining traction as an emerging player bringing efficiency and innovation to a traditionally outdated space. OUR BENEFITS: • Private medical insurance, • Life insurance, • Share options, • Exciting growth opportunities, • And More.. DATA SOFTWARE ENGINEER – ESSTENTIAL SKILLS • Strong foundation in Python, • Hands-on experience with Spark or Databricks, • Ability to lead projects autonomously and prioritise effectively, • Experience developing bespoke software components for data pipelines, • Familiarity with cloud-based architectures (e.g. AWS), • Experience working with large-scale relational databases (e.g. PostgreSQL) TO BE CONSIDERED… Please either apply by clicking online or emailing me directly . By applying to this role you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.

Senior Financial Crime Analytics Manager Up to £95,000 💸 Hybrid 🚗 London 🌆 The Company I’m hiring for a Senior Financial Crime Analytics Manager for a leading UK Financial Crime Consultancy. This is a newly created role designed to drive innovation and growth across their analytics function. You’ll be joining a high-performing team at the forefront of fraud & financial crime prevention, leveraging AI and machine learning to deliver cutting-edge solutions to clients. The Role As a Senior Financial Crime Analytics Manager, you will be: • Leading a team of 10+ financial crime data scientists and analysts., • Driving technical delivery across financial crime, fraud, conduct risk, and forensic analytics., • Spearheading the development and go-to-market strategy for new AI/ML-based financial crime solutions., • Working with external stakeholders to bring on new business and develop existing relationships, • Collaborating with senior leadership and clients to deliver impactful solutions. Your Skills and Experience: To be successful as a Senior Financial Crime Analytics Manager, you will need: • Strong experience in financial crime or forensic analytics., • Proven leadership experience managing technical teams., • Deep understanding of Python and its application in financial crime analytics., • Experience with AI and machine learning techniques., • Background in selling financial crime products or solutions., • Experience working within a UK bank or consultancy environment., • Strong domain knowledge across financial crime, fraud, conduct risk, and legal analytics. Benefits • Up to £95,000 + Benefits

I am working with a market leading consultancy in central London, who due to high level success already and expansion of their, offering are adding to their highly skilled team. This is an exciting time to join where the business is really looking to scale and has big plans for its team and the wider business. I am seeking an exceptional Engineering Manager within Analytics to lead high-performing teams at the crossroads of data engineering, analytics, and real-world business impact. This role offers the chance to shape the architecture, culture, and strategy of a modern analytics ecosystem , driving innovation, scalability, and measurable outcomes across the business. You’ll combine strong technical acumen with people leadership to empower teams and build solutions that deliver lasting value. You will bring a background of working with different types of projects at one time and adaptable in leading teams and upskilling those around you. In this role, you will: • Lead, mentor, and inspire analytics and data engineering teams, fostering technical excellence and a culture of innovation., • Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python., • Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift)., • Ensure best practices in governance, modelling, data quality, and scalable system design., • Drive continuous improvement in orchestration, schema design, transformation, and automation processes., • Translate complex technical insights into strategic recommendations that inform business decisions and performance. You’ll thrive if you are able to bring: • Bring 5+ years of experience in analytics and data engineering, including proven leadership within technical teams., • Demonstrate deep expertise in data pipeline architecture, schema design, and transformation frameworks., • Have strong proficiency across cloud-based data platforms and scalable infrastructure., • Excel at developing teams, driving process optimisation, and championing collaboration between data and business functions., • Are passionate about data governance, quality, and enabling smarter, insight-led decision-making across the organisation., • Coming from a consultancy background and/or working on various projects and clients would be very advantageous If you would like to know more please send your CV and details and we can talk.

We are partnering with a rapidly scaling Palantir implementation partner, expanding across all seniority levels, having secured a strong pipeline of projects across various industries. This is an exciting opportunity to specialise in one of the fastest-growing technology markets and collaborate with some of the most experienced leaders in the field. Responsibilities: • Develop and maintain data pipelines and ETL processes, • Analyse client challenges and design tailored solutions, • Collaborate on implementing AI and machine learning models, • Serve as a point of contact, providing consultative guidance and support Requirements: • Proven programming skills in Python and JavaScript, • Familiarity with Palantir is a plus, • Excellent communication and consultative abilities, • Must hold SC or DV Clearance Please apply if this is of interest.

Leading Energy Trading business is now seeking to hire an Energy Trading Analyst to join their London based team. You MUST have experience of either the power, gas or LNG markets and be used to providing accurate market and fundamental analysis to trading teams. You will have strong analytical background, numerical and data management skills alongside strong communication skills. Candidates will ideally have energy trading experience or relevant experience from working with a consulting firm. Experience of asset optimisation and Data Analysis would also be useful. The role can be tailored to suit candidates with c 2 to 8 years relevant experience. You should also have strong IT skills including Excel, Python, VBA and SQL. This is an excellent role that will suit a high calibre analyst looking for the next step in their career.

Role: Senior Backend Engineer (Product) Location: Hybrid - London Compensation: Up to £130,000 + equity We’re supporting a next-generation AI company developing a groundbreaking platform that automatically creates and scales immersive 3D environments. The team is bringing world-class technology from research to reality — turning complex creative workflows into seamless, intelligent systems. As a Senior Backend Engineer, you’ll own the architecture behind this core product. You’ll design APIs that power creative tooling, orchestrate large-scale compute workloads, and shape the technical foundations of a platform redefining what’s possible in 3D content creation. What you’ll do • Build and scale backend services and APIs for web and desktop applications., • Design and implement distributed systems for async processing, ML workflows, and asset pipelines., • Own authentication, billing, and subscription systems — ensuring reliability and seamless user experience., • Drive observability, performance tuning, and deployment automation across the stack., • Collaborate closely with product, frontend, and ML teams to deliver features that delight and scale. You should have • 5+ years of experience developing production-grade backend systems and APIs., • Strong skills in Python (FastAPI or similar) and modern cloud infrastructure., • Deep understanding of system design, scalability, and reliability., • A product-oriented mindset — you design with end users and UX impact in mind., • Passion for clean abstractions, maintainable code, and well-defined interfaces. Nice-to-haves • Experience with cloud-native infrastructure (AWS, GCP, or Azure)., • Familiarity with auth, billing, or subscription systems., • Background in 3D graphics, creative tooling, or ML pipelines., • Knowledge of observability tools like Grafana, Prometheus, or OpenTelemetry. This is a rare opportunity to join an early-stage team backed by leading deep-tech investors, building the foundation of a platform that fuses AI, creativity, and large-scale 3D generation. If you love architecting systems that empower creators and push technology forward, we’d love to hear from you.

Lead Developer – Trading Systems (C++) - Systematic - London - Market Leading Compensation - WFH My client, a tier 1 proprietary trading firm with a three-decade track record in global markets, is seeking a Senior Software Engineer to join the systematic arm of its high-frequency trading business. The firm operates across a broad spectrum of asset classes, including fixed income, equities, FX, commodities, and digital assets, designing and deploying sophisticated strategies with speed, scale, and precision. The team runs fully automated, mid- and high-frequency strategies, trading 24/7 around the globe. To support this, we are looking for an engineer with deep expertise in C++ and a passion for building robust, high-performance distributed systems. This is not an ordinary engineering role: the systems you build will directly power live trading strategies with global impact, requiring extreme reliability, low latency, and seamless scalability. You’ll collaborate daily with quantitative researchers and traders, shaping the tools and infrastructure that drive next-generation systematic strategies. What You’ll Do • Architect, design, and implement mission-critical trading systems for systematic digital asset strategies., • Build and optimise market data pipelines, execution algorithms, and portfolio infrastructure in modern C++., • Develop distributed, high-availability systems that meet strict latency and reliability demands., • Work closely with researchers to turn ideas into production-ready trading tools., • Own the full software lifecycle—from design through deployment and on-call support., • Continuously innovate to improve performance, resiliency, and scalability. What We’re Looking For • 7+ years of professional software engineering experience, with at least 5 years in modern C++ (C++17/20 strongly preferred)., • A proven track record of building complex, mission-critical distributed systems., • Deep understanding of concurrency, memory management, and type systems in C++., • Hands-on experience with low-latency, high-throughput systems in production., • Strong grasp of networking protocols, systems tradeoffs, and numerical/statistical methods., • Prior exposure to trading or financial systems strongly preferred., • Excellent communication skills, with the ability to work closely with researchers and traders., • Self-motivated, with the drive to turn high-level requirements into production-ready systems. Nice to Have • Familiarity with Python for research and C++ integration., • Direct collaboration experience with quant researchers., • Knowledge of machine learning concepts and model lifecycles., • Exposure to functional programming or immutable design principles., • Hands-on experience with Cython or bridging C++ and Python stacks. Why Join • High impact: Your engineering will directly shape systematic crypto trading strategies., • Autonomy: Real ownership to design, build, and innovate., • Scale: Operate across global markets, 24/7., • Culture: Work alongside world-class engineers, researchers, and traders solving highly complex problems. This is an opportunity to apply your expertise in C++ and distributed systems to one of the most competitive environments in the world: systematic, high-frequency crypto trading.

AI Reporting & Insights Lead — AI-Powered Analytics & Insights Location: Remote (with flexible core hours) or London, hybrid The Role As AI Reporting & Insights Lead you'll own the intelligence layer of our AI-powered platform—the dashboards, reports, prompts, and templates that transform raw customer data into clarity. This is a unique hybrid role combining AI expertise, analytical rigor, and customer-facing delivery. You'll define what "great AI-powered reporting" looks like and make it repeatable, scalable, and delightful. What You'll Actually DoOwn Core Reporting Infrastructure (40%) • Architect AI-powered reports: Design weekly email summaries, automated dashboards, and report templates using LLM summarization, structured extraction, and embedding-based clustering, • Craft intelligent prompts: Build and maintain the library of system prompts for ticket summarization, theme extraction, sentiment analysis, and qualitative insights, • Define reporting standards: Set quality bars for what makes a great dashboard (agent performance, app store trends, CSAT drivers, topic evolution, etc.), • Deliver bespoke insights: Partner with key accounts to understand analytical needs and build custom AI-powered reports and dashboards, • Simplify the complex: Translate sophisticated AI outputs (embeddings, clusters, anomalies) into executive-ready insights that non-technical users can understand and act on, • Train & enable: Create playbooks and conduct workshops showing customers how to maximize value from Clarity's AI reporting features, • Shape AI reporting features: Partner with Product and Data Science to spec new capabilities—structured output schemas, prompt templates, embedding-based discovery, • Experiment & prototype: Build proof-of-concepts for new report types using Python, pandas, OpenAI APIs, and our data pipelines, • Monitor report health: Track delivery, engagement, and quality metrics; debug when outputs degrade, • Performance tuning: Optimize report generation costs and latency; balance API usage with quality, • 5+ years in analytics roles building customer insights, product analytics, or data-driven reporting, • AI-native experience: Hands-on work building reports or products using LLMs—prompt engineering, structured output generation, embeddings, RAG, summarization pipelines, • Python proficiency: Comfortable with pandas, OpenAI library, API integrations, and data manipulation for prototyping and analysis, • SQL fluency: Can write complex queries and understand data modeling, • Simplification superpower: Exceptional ability to make complex AI concepts and technical outputs understandable to non-technical audiences—you know how to hide the magic while showing the value, • Data storytelling: You know what makes an insight actionable vs. just interesting; you can craft narratives that drive decisions, • Customer empathy: Comfortable presenting to executives, running workshops, and handling ambiguous requirements with patience and clarity, • Experience with text analytics, NLP, or customer experience (CX) analytics, • Background in time-series analysis, anomaly detection, or forecasting, • Prior work at analytics agencies or consulting delivering bespoke reporting, • Exposure to AI infrastructure (vector databases, embeddings, semantic search), • Experience at early-stage startups or as a founding team member About Clarity Clarity is an AI-first startup revolutionizing how companies understand customer feedback. Our platform consolidates feedback from app reviews, support chats, surveys, and social media into actionable insights. Trusted by brands like Grubhub, OpenAI, Dropbox, Uber, and Careem, we turn messy, multi-channel data into structured intelligence that drives real business decisions. We're backed by top investors including Neo, Sukna, Race Capital, Propeller, and Wamda, having raised $12M to date.

Carbon Emission/Green Tech Start-up | Full Stack Engineer | LDN 2 Days Per Week | £50K - £110K + Healthy Equity Company: I'm looking for Full Stack Engineers who are excited about elegant systems as they are about real-world impact. Their mission is to reduce carbon emissions in the UK building a razor sharp platform for heat pumps to be installed in homes up and down the Country. You'll join a lean, talented team of engineers and work directly on tools that accelerate the energy transition — like: -> Automated design tools for heat pump systems -> A survey app for collecting property data on-site -> 2D/3D floorplan creators (maybe even with LiDAR and CV!) -> Country-wide data tools through large-scale scraping + mapping -> Hardware integrations (e.g. bluetooth laser measures, sensors) -> Offline-first/PWA apps for installers on the move Tech Stack: -> React, TypeScript, Konva, Tailwind -> Node.js, PostGREST, Prisma -> PostgreSQL / PostGIS, Docker, Atlas -> (Sunsetting Python + FastAPI) Requirements for Carbon Emission/Green Tech Start-up | Full Stack Engineer | LDN 2 Days Per Week | £50K - £110K + Healthy Equity -> 2+ years commercial experience -> STEM Background -> React + TypeScript (you’re confident building fast, dynamic UIs) -> SQL and relational database design -> RESTful APIs and distributed systems -> Scalable and secure architectures -> Owning features end-to-end, from shaping the product idea to shipping the code. Type of engineer for Carbon Emission/Green Tech Start-Up | Full Stack Engineer | LDN 2 Days Per Week | £50K - £110K + Healthy Equity ->You’re product-minded — you care about the user and the why behind every line of code. ->You’re impact-driven — you want to move fast and make a real dent in the climate crisis. ->You’re collaborative — you're excited to work closely with a tight-knit, in-person team. ->You’re into sustainable tech, heat pumps, or building a greener future. Remuneration & Benefits -> £50,000 - £100,000 + meaningful equity -> 33 days holiday + work abroad up to 30 days/year -> Hybrid working between London & Bristol studios -> Work closely with a brilliant, mission-led team If you want to hear more about the Carbon Emission/Green Tech Start-up | Full Stack Engineer | LDN 2 Days Per Week | £50K - £110K + Healthy Equity please apply ASAP with a CV and we will give you a call if we think you are a match! 😊

Senior Frontend Developer Up to £80,000 Central London - Flexible Hybrid Options Health-Tech A start-up within the health space are seeking a Senior Frontend Developer to join a high performing squad of engineers building a unique SAAS platform which is radically streamlining an existing complex process. You'd join as a Senior Frontend Developer and make a real impact on user facing features from the off while enhancing frontend architecture in order to accelerate the products ground-breaking advancements. As a Senior Frontend Developer, you will have the following: • Strong expertise in React & Typescript - ideally also with Next.js, • Strong UI/UX intuition with a user-centric approach, • Fullstack exposure with Python or another backend programming language - Java, Go, Node etc, • Experience working in a lean start-up environment is beneficial What's on offer: • Salary up to £80,000 + Benefits, • Central London - Flexible Remote options (Max 2 days per week onsite), • Chance to make a positive social impact and grow with the company This is an exciting opportunity to work on impactful projects in a forward-thinking environment. If you are passionate about front-end development, we’d love to hear from you!

Java Developer – Derivatives A leading financial trade association is seeking a Java Developer to support industry adoption of a global data and digital standards framework used across derivatives markets. Key Responsibilities • Contribute to the development and implementation of open-source data models for derivatives trade processing and regulatory reporting., • Write clean, efficient Java and Python code and work within GitHub repositories (branches, pull requests, issue management)., • Support data mapping and integration between internal models and industry standards (e.g. FpML, JSON, DSL)., • Engage with member firms and vendors to capture requirements, extend models, and test new functionality., • Document code, manage sprints, and contribute to roadmap planning. Requirements • Strong software-engineering background with hands-on Java/Python development experience., • Knowledge of derivatives trade lifecycle, collateral management, and/or regulatory reporting., • Skilled in data modelling and working with XML/JSON formats., • Experience collaborating with stakeholders across the sell side, buy side, and vendor ecosystem., • 5+ years in financial services or FinTech, ideally within trade processing or post-trade technology, • Must be a clear communicator and comfortable articulating work to other teams and clients.

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.

Research Engineer (Data Infra/ML) London (Hybrid) Can you build & optimize distributed ML pipelines with Ray or Spark? Do you love speeding up cloud infra (Kubernetes, Docker, CI/CD)? Excited to build the data backbone for large-scale ML training? We're a tier 1 VC-backed start-up, developing hyper-realistic 3D simulations using AI. Our customers include leading names in industries such as autonomous vehicles, drones and robotics. Role You’ll be hands-on improving CI/CD pipelines, speeding up Docker builds, and scaling scene processing on Ray. You’ll also: • Build high-performance data pipelines for multimodal datasets (3D, video, sensor)., • Optimize distributed training and processing across Spark, Databricks, and Kubernetes., • Work with researchers to productionize PyTorch models and streamline ML workflows., • Develop tools that make data discoverable, reusable, and reliable throughout the ML lifecycle. You • Strong Python skills and experience with distributed systems (Ray, Spark, Flyte, Dask)., • Hands-on with cloud, Kubernetes, and distributed training (Ray, PyTorch DDP, Horovod)., • Familiar with dataset versioning and experiment tracking (DVC, MLflow). Bonus Points • Experience in simulation, robotics, or autonomy pipelines., • Background in deep learning (PyTorch) and 3D / sensor data (LIDAR, meshes, radiance fields)., • Open-source contributions or frontend/UI experience.

My client, a leading multi-strategy hedge fund, is seeking an mid level (3-10 years of exp) Infrastructure Engineer to join their high-performing team. This individual will help support and evolve the firm’s multi-cloud technology estate (Azure & AWS) across Windows and Linux, where performance, scalability, and resilience are critical. You’ll work closely with an Infrastructure Team Lead and senior leadership, contributing to cybersecurity posture and disaster-recovery programs while improving DevOps practices. This is an opportunity to work across a wide range of technologies, contribute to strategic projects, and make an immediate impact within a collaborative environment. Ideal profile: • Helpdesk/service-desk background supporting end users, with strong troubleshooting skills., • Microsoft stack: Windows 11/Server 2019–2022, Microsoft 365, Active Directory/Entra ID, DNS/DHCP., • Cloud: Azure (App Services, Storage, Networking, Resource Groups) and awareness of AWS; hybrid integrations and migrations., • DevOps & automation: Azure DevOps or GitHub Actions, Git/GitHub, scripting in PowerShell/Bash/Python; IaC with Terraform/Ansible., • Security & networking: anti-virus/malware/endpoint tooling; fundamentals across Cisco switching, Palo Alto firewalls, SD-WAN (Cato/Prisma), IPSec VPN, and basic Kubernetes concepts. What you’ll do: • Provide 1st/2nd/3rd line support., • Build and manage user devices; own onboarding/offboarding workflows; administer O365., • Support cloud environments, monitor performance/security, and automate with pipelines & IaC., • Assist with network projects and security tooling; collaborate with a SOC partner on monitoring., • Maintain diagrams/KBs and contribute to BCP/DR testing and continuous improvement. To secure the most relevant hire, my client is committed to offering a strong uplift on current base salary alongside market-leading bonuses. They also provide exceptional benefits, including great daily perks and private healthcare. Apply now via the link below or send your resume directly to .

Data Science Manager Up to £85,000 Join a fintech platform revolutionising workplace savings and pensions by making sustainable investing simple for both employees and employers. They’re right where finance, tech, and wellbeing meet with backing from a major bank but the feel of fintech innovation. Responsibilities: • Stay hands-on while advising business leaders on data-driven decisions., • Drive improvements in client and customer outcomes through active data analysis and modeling., • Develop and refine predictive and machine learning models., • Build and optimize customer lifetime value and key metric models., • Continuously improve analytics and model accuracy., • Lead and contribute to scalable model deployment in production. Requirements: • MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Experience in Consumer / Marketing Analytics, • Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per week onsite in Central London. This role cannot provide visa sponsorship.

A growing SaaS business is hiring a Senior Software Engineer to lead the technical rebuild of its flagship product. This is a hands-on role for an experienced engineer who loves modernising legacy systems and is excited about using AI tools to accelerate design, refactoring, and delivery. You’ll be the technical driver behind a full product transformation, rebuilding a complex ERP-scale system into a modern, cloud-native platform. Working closely with product and technical leadership, you’ll design architecture, write production-quality code, and use AI tools to streamline development and shape how the next generation of the product is built. Role: Senior Software Engineer (AI-Enabled Refactor) Salary: Up to £70,000 per annum (flexible for exceptional candidates) Location: Hybrid – London office once per fortnight, remote within the UK What you’ll be doing: • Lead the refactor of a large legacy system into a modern, scalable cloud-native product, • Design and implement new architecture using AWS microservices, PostgreSQL, Node.js, React, and TypeScript, • Use AI-assisted tools such as OpenAI, LangChain, Claude, or Hugging Face to enhance efficiency, code quality, and testing, • Establish clean engineering practices, including CI/CD, automation, and testing frameworks, • Work closely with product and technical leadership to translate business requirements into technical outcomes, • Mentor a junior developer and help shape future engineering capability What you’ll need: • 7+ years’ experience building or refactoring large-scale applications (ERP or SaaS experience ideal), • Strong technical background with Python, TypeScript, React, Node.js, PostgreSQL, and AWS, • Proven experience in greenfield development and system modernisation, • Interest or hands-on experience with AI-driven development tools, • Solid understanding of clean architecture, automation, and modern DevOps practices, • A collaborative mindset and enthusiasm for innovation What’s on offer: • Salary up to £70,000 per annum (flexible for the right person), • Hybrid working – typically remote with occasional team days in London, • Opportunity to lead a full-scale rebuild project from the ground up, • Freedom to experiment with AI technologies that accelerate development, • Startup-style autonomy backed by the stability of a well-funded organisation If you’re a senior engineer who enjoys modernisation projects and wants to work at the intersection of AI and large-scale software engineering, this is an opportunity to build something that defines the next generation of a leading SaaS platform.

Opportunity & Requirement Summary 📛 Role | Python Software Engineer 🔵 Company | Growing SaaS Software Provider 📏 Size | 15–20 employees 📍 Location | London (Hybrid – 3 days per week in the office) 💰 Offer | £60,000 – £90,000 + share options + benefits Detailed Overview Kioni Talent is partnering with an innovative SaaS company that’s helping businesses streamline complex workflows through their intelligent software platform. They’re now looking for a Python Software Engineer to join their close-knit team and play a key role in building and scaling the backend that powers their core product. You’ll be joining a collaborative engineering team of experienced developers, product thinkers, and problem-solvers — all passionate about writing clean, scalable code and continuously improving their platform. ⭐ What You'll Do • Design, build, and maintain backend services using Python (Django/FastAPI), • Contribute to architecture and technical design discussions, • Write clean, maintainable, and well-tested code, • Work closely with Product and Frontend teams to deliver new features, • Help improve scalability, performance, and reliability as the platform grows 💥 Your Impact • Be a key contributor in a product-led SaaS company during a high-growth phase, • Influence technical direction and tooling choices, • Help shape best practices and contribute to a culture of engineering excellence, • Work on meaningful challenges that have a direct impact on customers 👩 💻 What You'll Need • Strong experience with Django or FastAPI, • Solid understanding of RESTful APIs and database design (SQL/PostgreSQL), • Experience with testing frameworks and version control (Git), • Familiarity with cloud environments (AWS/GCP/Azure), • A collaborative mindset and eagerness to work in a small, agile team If you’re excited by the idea of joining a small, talented team where your work has real impact, and you enjoy solving interesting technical problems in a modern SaaS environment. We’d love to hear from you. 📩 Apply now to learn more about the company and this opportunity! (Python Engineer, Python Developer, Backend Developer, Software Developer, Software Engineer, Django Developer, Django, FastAPI, Flask, AWS, SaaS, REST API, Cloud, CI/CD, Start-up, London, Hybrid)

A leading global investment firm is seeking a Weather Data Engineer to help build proprietary weather analytics and infrastructure that directly powers alpha generation across its commodities trading strategies. This is a high-impact opportunity to work at the intersection of data engineering, meteorology, and AI-driven forecasting. Weather data is central to the firm's edge - from raw satellite observations to climate simulations and proprietary model outputs. You'll be part of a specialist team driving innovation in how weather data is ingested, transformed, and deployed across the investment process. Responsibilities: • Design and maintain scalable, cloud-native (AWS) pipelines for ingesting and processing real-time and historical weather data., • Build robust APIs and data services to serve weather data and AI model outputs to researchers, quants, and traders., • Support the development and deployment of proprietary forecasting models, including workflows for blending, debiasing, and fine-tuning., • Collaborate with meteorologists, data scientists, and AI researchers to onboard new datasets and accelerate research., • Implement automated data validation, monitoring, and alerting to ensure reliability and uptime., • Continuously improve infrastructure to reduce time-to-insight and enhance operational scale. Required Skills: • 5+ years of experience building production-grade data systems, ideally in a scientific or financial setting., • Strong Python skills and deep understanding of system architecture and cloud-native development (AWS)., • Experience with weather/climate datasets (e.g., GRIB, NetCDF, HDF5) and sources like NOAA, ECMWF, GFS., • Solid grasp of time-series and geospatial data concepts., • Familiarity with collaborative software development practices (CI/CD, version control, testing)., • Bonus: experience with distributed computing (Spark, Dask), container orchestration (Kubernetes, Airflow), and dashboarding/uncertainty quantification. This is a rare chance to build differentiated infrastructure that directly supports alpha generation. You'll work closely with world-class researchers and technologists and help shape the future of weather-driven analytics in commodities trading. If you're passionate about building scalable systems and want to work at the cutting edge of data, weather, and AI - apply today!

Hardware Management Engineer – High Performance Infrastructure Location: London - Hybrid Permanent We are partnered with a leading global quantitative hedge fund seeking a Hardware Management Engineer to join their Research Infrastructure Engineering team. You will play a hands-on lead role in managing cutting-edge high-performance trading and research infrastructure, directly supporting research and trading teams on mission-critical projects. This is a fantastic opportunity for an experienced Linux and infrastructure specialist to work at the forefront of HPC (high-performance computing), low-latency engineering, and large-scale systems. Key Responsibilities • Manage and optimise large-scale Linux-based platforms for high-performance trading and research workloads., • Design and implement workload scheduling, high-performance file systems, and storage operations., • Optimise hardware, networking, and kernel performance for low-latency and high-throughput environments., • Partner closely with research and infrastructure teams to deliver scalable, reliable solutions., • Drive automation using Terraform, Ansible, GitLab, Jenkins, and support SDLC best practices., • Provide visibility and performance monitoring using Splunk, Prometheus, Grafana., • Contribute to containerisation and orchestration strategy with Docker and Kubernetes., • Stay ahead of industry trends, conduct POCs, and deliver technical recommendations. What We’re Looking For • 10+ years’ experience in Linux systems administration / platform engineering., • Proven technical leadership in hardware optimisation, kernel tuning, and network/storage performance., • Hands-on experience with DevOps and CI/CD tooling (Terraform, Ansible, GitLab, Jenkins)., • Programming / scripting knowledge in Python, Golang, or similar., • Experience with metrics visualisation tools (Splunk, Prometheus, Grafana)., • Knowledge of containerisation and orchestration (Docker, Kubernetes)., • Experience in hedge funds, trading firms, or other low-latency / HPC environments is highly desirable.

GCP Data Engineer | London | £50,000 - £70,000 Peaple Talent have partnered with a specialist data consultancy delivering services across data engineering, data strategy, data migration, BI & analytics. With a diverse portfolio of clients and cutting-edge projects, our client is a trusted name in the data consulting space. Due to exciting growth plans, we are now looking for a Data Engineer, specialising in Google Cloud Platform (GCP) and BigQuery. We are looking for: • Demonstrable data engineering/BI skills, with a focus on having delivered solutions in Google Cloud Platform (GCP), • Strong experience designing and delivering data solutions using BigQuery, • Proficient in SQL and Python, • Experience working with Big Data technologies such as Apache Spark or PySpark, • Excellent communication skills, with the ability to engage effectively with senior stakeholders Nice to haves: • GCP Data Engineering certifications, • BigQuery or other GCP tool certifications What’s in it for you: 📍Location: London (Hybrid) 💻Remote working: Occasional office visits each month 💰Salary: £50,000–£70,000 DOE 🤝Collaborative culture and strong team support 📈Vast L&D opportunities both internally and externally

About the Opportunity This is a rare opportunity for a Data Engineer to work at the intersection of cutting-edge technology and elite sports performance. You’ll join a collaborative, high-standard engineering team with a culture built around creativity, innovation, and excellence. In this role, you’ll play a key part in designing and developing scalable data infrastructure that directly impacts decision-making at the highest levels of the football world—including performance insights for some of the most well-known footballers in the industry. This is the perfect environment for those passionate about leveraging advanced data engineering to drive real-world results in sports analytics. Key Responsibilities • Architect, design, build, test, and maintain scalable and high-performance data pipelines, • Ensure all systems adhere to best practices for data quality, integrity, and security, • Integrate modern data engineering tools and technologies into cloud-native infrastructure, • Develop tools and solutions to support sports data modeling, analytics, and predictive insights, • Collaborate with data scientists, analysts, and performance experts to enable end-to-end data workflows, • Own the architecture and maintenance of a GCP-based data lake/lakehouse environment Your Background • 4+ years of industry experience in Data Engineering roles, • Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins), • Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools, • Proficiency in data architecture, data modeling, and scalable storage design, • Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills • GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines., • Domain Knowledge: Understanding of sports-specific data types (event, tracking, scouting, video), • API Development: Experience building data-centric APIs using FastAPI, especially in serverless environments (e.g., Google App Engine), • Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale, • DevOps/MLOps: Exposure to Terraform, Docker, Kubernetes, and MLOps workflows What They Offer • A chance to work on real-world data that impacts elite football performance, • Access to high-value datasets, sports science teams, and cross-disciplinary experts, • A flexible hybrid working model (1 day per week in the London office), • The opportunity to grow within a digital-first team at a world-renowned football club, • The satisfaction of applying your engineering skills in an environment where your work directly influences results on the pitch

Data Science & GenAI Engineer (Senior and Lead Levels) — AI Agents, Structured Insights & Detection We’re pioneering Agentic AI — systems that don’t just respond, but reason, act, and adapt autonomously in complex workflows. This is about crafting AI Agent Experiences — designing agents that collaborate seamlessly with humans, learn from context, and make every customer interaction faster, smarter, and more empathetic. You’ll own the technical vision and turn requirements into a live, reliable product used by brands like Grubhub, Booking.com, Dropbox, Uber, Careem, and Fubo. You’ll collaborate directly with engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‑solid, scalable platform. What you’ll actually do 50% Build — design & ship • Agentic AI for CX: Real‑time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‑in‑the‑loop controls., • Structured extraction: Schema‑driven pipelines over unstructured text (and other modalities) using retrieval, tool‑use, and robust LLM prompting., • Hybrid anomaly detection: Blend classical time‑series methods (e.g., decomposition, change‑point, forecasting) with LLM‑aware, contextful detectors for seasonality, spikes, step‑changes, and drift., • Novelty discovery: Embedding‑based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links., • Own reliability, latency, and cost. Design online/offline eval harnesses, canaries, and SLAs; operate GPUs/accelerators where needed., • Stand up and harden RAG pipelines (indexing, retrieval policies, grounding, guardrails) and agent frameworks., • Take basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning., • Pair with back‑end & front‑end to wire extractors/detectors and agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‑time streams)., • Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics. What makes you a great fit • Startup hacker mindset: You self‑start from zero, respect no silos, and carry work from prototype to production. 🛠️, • AI‑native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar)., • 7–10 years building production ML/back‑end systems; 2+ years leading while coding., • Expert Python; strong back‑end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams)., • Agents & RAG: Fluency with at least one agent framework (ADK preferred). Proven track record shipping AI agents and building RAG pipelines., • LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‑on with time‑series analysis (forecasting, change‑point, drift)., • Cloud & ops: Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control., • Communication: You explain results clearly, align stakeholders, and write crisp docs. Bonus points • DevOps wizardry; GPU/accelerator experience., • Multimodal pipelines (text + voice + screenshots)., • Prior experience in contact center/CX analytics or novelty/anomaly systems., • Founder or founding engineer experience

Affinity Labs: Founding React Native Engineer (Full-Stack) Location: London Area, United Kingdom · On-site Company Description At Affinity Labs, we’re building the future of company creation, a full-stack AI venture studio that partners with content creators to co-found authentic, scalable software businesses. By combining AI-native development with creator-led distribution, we're pioneering a new model of monetisation by to rapidly build, launch, and scale digital ventures aligned with creators and their audiences. We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship. Why Affinity Labs: Ship at rapid pace with AI-accelerated workflows, see your work distributed to thousands of users at launch, and compound impact across multiple products, not just one. Role Description You’ll lead end-to-end product development for mobile-first apps: scoping, building, testing, shipping, and iterating across tight cycles. This is an early-stage, hands-on role with significant autonomy and responsibility to drive product development cycles, collaborating closely with founders, creators, and design to turn lean specs into live products. Responsibilities • Implement features end-to-end (React Native → APIs → data) and maintain quality while moving fast., • Run tight build, test, iterate, ship loops; provide realistic estimates and surface blockers early., • Manage tech debt pragmatically; record key decisions as lightweight ADRs/notes in the tooling., • Participate in daily standups and weekly planning, contribute to technical strategy & execute from Linear tickets., • Contribute to architecture and product discussions; be heard in debate, align to unified decisions., • Own operability: set up and maintain CI/CD, monitoring/alerting, performance & error budgets, and safe rollback paths., • Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Essential Requirements • 3–6+ years building production mobile apps (React Native), with shipped apps., • Strong React Native proficiency (Expo experience strongly preferred)., • Full-stack capability: backend in Python (FastAPI) and databases; API design; basic cloud infra familiarity., • Startup mindset: high ownership, pace, ambiguity; willing to burn the midnight oil when needed., • Growth mindset & flexibility: open to feedback; not rigid about stack/tools., • Clear communicator & collaborator; lean on your experience to guide product decisions, • Evidence of shipping quickly in small teams (portfolio/GitHub/TestFlight links). Desired • Working deeply with Expo (EAS builds, OTA updates)., • CI/CD for mobile, App Store/TestFlight flows., • Analytics, feature flagging, experimentation frameworks., • Planning & execution in Linear (or similar). Tools & Stack • Frontend (mobile): React Native (Expo)., • Frontend (web, when needed): React/Next.js (for dashboards/admins, used selectively)., • Backend/Runtime: Node.js, Python (FastAPI)., • Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions)., • Vectors/Embeddings: Chroma (or similar)., • AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio)., • AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot / Claude Code., • Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Competencies & Behaviours • Communicates clearly with technical and non-technical teammates., • Takes ownership from concept to deploy and through maintenance., • Balances technical excellence with pragmatic delivery to meet business needs., • Adapts quickly to changing requirements and emerging tech; applies AI learnings., • Sets clear goals, tracks progress, and hits commitments; collaborates across disciplines. Why this role is a career launchpad • Own the code & the company. You step in as a Founding Engineer with a meaningful equity stake from day one., • Ship faster with AI at your side. Our workflow bakes in AI so you spend your time solving real problems—not boilerplate., • Ride a rocket. Affinity Labs is a venture studio that partners with top content creators to turn influence into scalable software. Our wider vision is big and the bar is high, we need driven people who can help us achieve an ambitious roadmap., • Grow like crazy. You’ll architect, build, and launch multiple products each year. The shipping reps you’ll get in 12 months here would take 3–4 years in a typical startup. There’s a lot of work, it’s high intensity, and the expectation is to ship extremely quickly., • Learn from builders, not bosses. Work shoulder-to-shoulder with a team that has scaled VC-backed startups, closed multi-million-pound term sheets, and collaborated with 1,000+ creators across formats and categories.

Technical Lead Engineer / Director Key Technologies: C#, .NET, .NET Core, Azure, SQL Location: London Perm Role | Hybrid Working Structure Harrington Starr has partnered with a global Investment Bank, seeking to hire a Director level Engineer with extensive .NET development experience within investment banking. This person must be confident translating complex business needs into functional solutions and be able to communicate with a variety of internal and external stakeholders. Key Responsibilities • Lead delivery of software solutions across trading technology systems, ensuring alignment with strategic business goals., • Build and maintain the regional technology roadmap, consolidating systems into a consistent, scalable stack., • Manage a team of developers, fostering high performance, mentoring, and technical guidance., • Oversee vendor relationships, regulatory reporting, and compliance requirements., • Drive agile software development, system integration, and adoption of modern technologies, including cloud solutions. Benefits of the Role • Flexible hybrid working arrangements and paid leave., • Health and wellbeing support, including medical and mental health services., • Access to learning and development opportunities and career progression programs., • Inclusive and diverse work environment promoting collaboration and engagement., • Competitive remuneration package and employee benefits. Key Skills and Experience • Advanced full-stack development skills (.NET, .NET Core, C#, Python, SQL) and cloud technology experience., • Strong leadership experience managing high-performing development teams., • Knowledge of banking products, financial analysis, and regulatory requirements., • Experience delivering Agile projects, CI/CD, and DevSecOps solutions., • Excellent problem-solving, analytical, and communication skills with global stakeholder engagement. Full, unrestricted right to work in the UK is a must. No sponsorship will be provided. Please apply via the link provided or reach out to me directly to book in a confidential phone call -

Role: GenAI Architect Duration: long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: • 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain., • Prior experience in identifying new opportunities to optimize the business through analytics, AI/ML and use case prioritization., • The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise., • Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools., • Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models., • Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications., • Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services., • Technical Proficiency: Strong skills in UNIX/Linux environments and command-line tools., • Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models., • Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AI/ML solutions as a service/REST API on Cloud or Kubernetes, and proficiency in testing of developed AI components., • Responsibilities also include data analysis/preprocessing for training and fine-tuning language models. Also, solves virtually all issues around privacy, real-time, sparce data collection, passive data collection and security and regulatory requirements.

As a Principal / Lead Full-Stack Engineer, you'll thrive if you're hands-on, grounded, and passionate about building with technology. This role is ideal for those looking to have a large impact and huge scope for growth, while still being hands on with technology. We aim to allow growth without becoming “post-technical”. Our clients diverse tech stack includes TypeScript, Java, .Net, Scala, Kotlin, Golang, Elixir, Python, .Net, Node.js, and Rust. Experience with one, or more than one of those languages would be preferred. We focus on lean teams without traditional management layers, working in small, collaborative teams (2-5 people) where a well-founded argument holds more weight than the years of experience. Responsibilities: • Lead engagements when working with customers across domains like retail, banking, publishing, social, education, adtech and more, • Remain fully hands-on and write high-quality, production-ready code that enables smooth deployment of solutions, • Drive architectural and design decisions, ensuring scalable, resilient systems built on sound engineering principles and best practices, • Partner with clients to define and evolve their technology and data strategy, modernizing infrastructure, architecture, and technology stacks, • Utilize DevOps tools and practices to automate and streamline the build and deployment processes, • Work closely with Data Scientists and Engineers to deliver robust, production-level AI and Machine Learning systems, • Develop frameworks and tools for efficient data ingestion from diverse and complex sources, • Operate in short, iterative sprints, delivering working software aligned with clear deliverables and client-defined deadlines, • Demonstrate flexibility by learning and working across multiple programming languages and technologies as required Additional Responsibilities: • Actively contribute to a high-performing engineering culture by working from ours or client offices regularly to collaborate closely with fellow senior techies, fostering strong technical discussions and decision-making, • Provide hands-on mentorship and technical guidance that encourages knowledge sharing, continuous improvement, and innovation within your team Skills you’ll need: • Demonstrated experience as a Principal or Lead Software Engineer, • Experience in leading architecture and design decisions, ensuring adherence to best practices in technology choices and system design, • Deep understanding of programming fundamentals and expertise with at least one programming language (functional or object-oriented), • A nuanced and rich understanding of code quality, maintainability and practices like Test Driven Development, • Experience with one or more source control and build toolchains, • Working knowledge of CI/CD will be an added advantage, • Understanding of web APIs, contracts and communication protocols, • Understanding of Cloud platforms, infra-automation/DevOps, IaC/GitOps/Containers, design and development of large data platforms, • A maker’s mindset - To be resourceful and have the ability to do things that have no instructions What will you experience in terms of culture at Sahaj? • A culture of trust, respect and transparency, • Opportunity to collaborate with some of the finest minds in the industry, • Work across multiple domains What are the benefits of being at Sahaj? • Unlimited leaves, • Life Insurance & Private Health insurance paid by Sahaj, • Stock options, • No hierarchy, • Open Salaries

About the Role We’re seeking a Principal AI Engineer to lead the design and implementation of advanced AI solutions across our product and business ecosystem. This is a unique opportunity to define and deliver an organisation-wide AI strategy — combining hands-on technical work with cross-functional influence to drive real impact. You’ll work closely with senior technology and business leaders to shape how AI is embedded across products, operations, and internal processes. The role offers autonomy, scope, and visibility — ideal for someone who thrives at the intersection of deep technical expertise and strategic thinking. What You’ll Do • Design, build, and deploy AI-powered systems and features that enhance product functionality and user experience., • Develop and integrate agentic frameworks, RAG pipelines, and vector database architectures to support natural language and intelligent automation use cases., • Fine-tune and customise LLMs (e.g. OpenAI, Anthropic, and other models) for specific business applications., • Collaborate with engineering and data science teams to implement MLOps best practices — from deployment and monitoring to continuous iteration., • Partner with commercial and operational teams to identify and automate processes that can be enhanced through AI tools., • Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You • Deep expertise in Python, machine learning, and data science., • Experience building, deploying, and scaling AI models in Azure and/or AWS environments., • Skilled in using LangChain, LangGraph, vector databases, and prompt engineering., • Understanding of LLM optimisation, including context extension and RAG-based frameworks., • Proven ability to collaborate cross-functionally and communicate complex AI concepts to non-technical teams., • A proactive, creative mindset — comfortable operating with autonomy to build scalable, production-grade AI systems. Preferred qualifications: • Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field., • Experience with Azure Foundry, AWS SageMaker, or other model-serving tools., • Prior exposure to SaaS, enterprise, or data-rich product environments. Why This Role • Play a central role in defining and executing an organisation-wide AI roadmap., • Work directly with senior leadership on strategy and implementation., • Shape the next generation of intelligent, data-driven products., • Hybrid working environment with flexibility for deep technical focus and collaboration., • Competitive compensation and the opportunity to build at scale in a high-growth environment. If you’re passionate about building intelligent systems that create measurable impact — this is your opportunity to lead from the front.

Engineering Manager with a fast-growing SaaS business in the healthcare space. This is a hybrid role, based in London two days a week. As an experienced Engineering Manager, you’ll be joining the business at a pivotal growth stage. Our client has tripled their team in the past year and is now focused on scaling its engineering culture and capabilities, with the backing of leading investors. You will play a key role in doubling the size of the engineering team in the next 12 months. If you're looking to work in tech-for-good, this position offers the opportunity to help develop and shape data-driven clinical tools that transform healthcare. The business is looking for a high-impact Engineering Manager to help lead this transformation to a scale-up: guiding teams of around 12 engineers (in-house team, based in the UK and Europe), setting the pace, and helping shape a high-performance engineering culture from the ground up. This role would best suit someone who thrives in high-growth environments, knows how to build at pace without sacrificing quality, and wants to grow into a VP of Engineering. About the role • Lead and scale high-performing engineering teams in a fast-paced setting, • Coach engineers in developing their skills and build structured growth paths across the team, • Drive delivery with a focus on speed, quality, and accountability, • Raise technical standards in code, architecture, and best practices, • Shape a strong engineering culture during a critical scale-up phase, • Collaborate cross-functionally with Product, Design, and Ops, • Recruit, onboard, and retain top engineering talent About you • Several years’ experience leading engineering teams in fast-growing startups or scale-ups, • Excited by the challenge of developing and scaling a team in a high-growth environment, • A track record of building performance-driven teams with high trust and output, • Comfortable operating hands-on when needed, while empowering others, • Hands-on experience with Python, React, cloud infrastructure (AWS), Kubernetes, • Strong product mindset - focused on outcomes, not just output, • You thrive in fast-paced, high-accountability environments On offer • Base salary of £95k - £120k depending on experience plus equity, • Rapid career progression with potential to grow into VP Engineering, • High ownership role during a pivotal growth stage, • Opportunity to shape the culture of a mission-driven tech team

Job Title: AI Researcher Location: Cambridge or London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are safe, controllable, and capable of producing high-quality outputs across multiple modalities. You’ll sit at the intersection of RL, LLMs, and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs with human and organisational preferences. Collaborate with researchers, engineers, and human feedback teams to build scalable alignment pipelines. Publish findings in top-tier AI conferences and contribute to open-source frameworks. Key Requirements: PhD in Computer Science, Machine Learning, or related field. Publications at NeurIPS, ICML, ICLR, ACL, or related venues. Deep expertise in Reinforcement Learning (policy optimisation, reward modelling, RLHF). Hands-on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please reach out to

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!

System Optimisation Engineer | London | Hybrid | Upto £80K DoE Are you an Engineer or recent PhD graduate who has experience in engineering, Optical or AI/ ML Systems and test frameworks for the optimisation of AI platforms? Then this might just be the role for you! We are working with a disruptive London-based Computer Networking company who are working on the cutting edge of AI and Machine learning technology with applications for increased productivity in Data centres and HPCs. Responsibilities: • Design automated test frameworks for optical networks using Python, C++, • Develop integrated hardware solutions across network systems using hardware instruments, BERTS, Burst-mode test, and oscilloscopes., • Engineer optimisation algorithms as part of the test framework platform and metaheuristic algorithms, • Support across the validation of testing, and analysis of data for improvement, • Collaborate with cross-functional teams of hardware, software, embedded and electronic engineers. Skills: • Software scripting and Automation experience using Python, C++, C#, • Experience in generating and scripting algorithms for AI/ML applications, as well as Metaheuristic optimisation., • Understanding of cloud-based environments and data pipelines., • Degree in either Computer Science, Electrical/Electronic, or related. What’s in it for you? • Up to £80k DOE, • Lucrative stock options., • 25 days holiday + bank holidays., • Hybrid working., • Relocation assistance., • Visa sponsorship provided.

A high-performing QIS team at a Tier-1 Bank in London is undergoing a exciting expansion. The team is revisiting its trading platform to better manage the growing demand of their QIS business. This is an ambitious project that aims to ensure the bank remains a leader in the QIS space. The hire will inherit a legacy platform though will be instrumental in shaping the future of the platform, alongside the established Hiring Manager and a dedicated team of developers and software engineers. The platform will be used by front-office quantitative researchers, structurers, and traders; the hire must have strong communication skills to best integrate their needs and priorities in the platform. This is a VP-level opportunity. Responsibilities • Contribute to the rebuild of a front-office QIS platform, integrating modern tooling and scalable architecture., • Develop robust, maintainable software with strong versioning, caching, and execution environments., • Collaborate with structurers, traders, and quant teams to deliver high-impact solutions., • Build tooling to support market data access and AI-enhanced user experiences. Requirements • 3-10 years of experience building production-grade software., • Proficiency in Python and at least one other language (e.g., Rust, Haskell, etc.)., • Experience building and maintaining long-term software projects., • Strong Computer Science fundamentals (algorithms, data structures, design principles)., • An advanced degree in Computer Science, or related degrees (optional, but preferred)., • Exposure to greenfield projects and experience scaling them up (optional, but preferred).

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. We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior ML Engineer with a proven track record of delivering ML models to production. What you will do 🚀 • Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’, • Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data, • Create brand new dictionaries, applicable to any context - right now it’s the English language, but in the future it could be other languages or even subjects such as Mathematics, • Analyse large amounts of diverse data - including data from every movie, book, and song, • Work in a cross-functional team and communicate with backend engineers and product managers, • Create new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these results, • Optimise and fine-tune machine learning models for performance, scalability, and accuracy Essential skills 🙏 • Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production, • Experience working with entire ML systems and data pipelines in large-scale production systems, • Experience building automated data pipelines, • Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring, • Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers, • Great knowledge of NLP algorithms, • Expertise in Python and PyTorch Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with reinforcement learning, • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.), • Experience using voice data in ML models What we can offer ✨ • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • Freedom to suggest, implement, and test ideas, • Unlimited learning & development budget (courses, conferences, books etc.), • Lunch provided by the company every day, • Regular social events, • 25 days annual leave + public holidays, • Work from our London office Interview Process 🧪 • 3 interviews, which will be mixture of technical and non-technical tasks, • If all the interviews are successful, we’d like to invite you to 2 or 3 paid trial days, or to complete short project remotely with us, to learn what it’s like to work at Glite