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Are you a qualified Modern Foreign Language Teacher (MFL Teacher) seeking a 1 year contract?. MFL Teacher required in Redbridge.

If so, this could be the perfect opportunity to become a Primary SEND TA. Are you ready to make a real difference to children with SEND, including those with Autism, ADHD, speech and language difficulties, or who are non-verbal?. Primary SEND TA | Barnet | Immediate Start.

As a Full Stack Engineer, you’ll be responsible for designing, developing, and deploying solutions that solve complex business problems. Familiarity with coding (any language - we value aptitude over specific stacks).

AI Solutions Engineer – London, 5 days onsite, £80k-£105k salary + 8% pension and benefits Our heavy asset client is seeking a hands-on AI Solutions Engineer to design, build, and implement AI-powered automation solutions. This role offers the chance to work at the forefront of applied AI, delivering real business value through innovative solutions. The Role As an AI Solutions Engineer, you will work closely with business stakeholders to identify opportunities and deliver scalable AI workflows. You will design prompts, integrate Large Language Models (LLMs) with enterprise systems, and implement Retrieval-Augmented Generation (RAG) pipelines. You will also advise on responsible AI practices, ensuring compliance and governance. Key responsibilities include: • Designing and optimizing prompts for reliable LLM outputs, • Building and deploying AI-driven workflows connecting LLMs to applications, APIs, and automation tools, • Implementing RAG pipelines to link enterprise data with LLMs, • Prototyping and iterating to demonstrate business value quickly, • Advising on best practices for responsible AI adoption Candidate Profile • Strong experience with LLMs (e.g. GPT, Claude, LLaMA) and prompt engineering, • Hands-on integration with tools such as LangChain, LlamaIndex, or similar, • Proficiency in Python or JavaScript for building prototypes and integrations, • Familiarity with automation platforms (UiPath, Power Automate, Zapier, n8n), • Knowledge of vector databases and embeddings for RAG pipelines, • Excellent communication skills to translate business problems into technical solutions, • Experience working in agile or fast-paced environments, • 3+ years experience Location & Working Model • Based in London, • Five days a week onsite, with flexible working hours Package • Salary up to £105,000, • 8% pension contribution, • Comprehensive benefits package This role cannot sponsor

Your mission Working within the Games Creation team you will be responsible for creating and validating math models for online slots and other games. You will be inspired by market leading content and pursue innovation, working in collaboration with Game Designers to deliver best in class gambling games. What you’ll do • Develop math models for gambling games that are robust and highly engaging to the player, • Use spreadsheets and simulation to create the best gaming experience possible, • Ensure all games meet necessary jurisdictional compliance requirements, • Provide statistical summaries that can be easily understood by non-mathematicians, • Work with game designers to turn game ideas into practical math models, • Review proposed designs and features and suggest alternatives when necessary., • Provide detailed statistical analysis of ideas under review., • Put forward your own game design ideas, • Work with the Engineering Teams that create the math model in a game, • Document model data, structure and implementation details, • Validate that game engine statistics match the math model, • Help troubleshoot the engineering team’s implementation of a model, • Contribute to the continuous improvement of the math development process, • Support existing math models and features, • Keep up to date with industry practices and developments What you’ll NEED • A degree in Mathematics/Statistics, Computer Science or equivalent, • Excellent problem-solving abilities, • 2+ years’ experience as a Mathematician in online gaming, • Use of Excel spreadsheets to design math models, • Experience using a high-level programming language, C++ preferred, • A portfolio of published games, • Excellent English language skills, written and spoken What you’ll be • Passionate about creating exciting games, • A motivated team player with outstanding problem-solving and communication skills, • Responsible. Take ownership of your projects. Manage your time across multiple active projects and deliver to agreed timescales. Why to join us • Inspiring and fulfilling work at an innovative and values-driven company creating cutting-edge tech, • Attractive salary and customisable benefits package, • Flexible working hours and ways of working (we promote hybrid working model, • Contemporary and accessible office environments with a range of workplace perks, • Being part of a team with a forward-looking, international mindset and agile working practices, • A friendly, inclusive and multicultural environment, • Wellbeing programmes, learning and personal growth opportunities, • A range of employee events throughout the year, • Opportunities to shape the tech community within and outside of the company, through mentoring and knowledge-sharing

Risk Developer – Global Multi-Strategy Hedge Fund - Small Team - Market Leading Compensation - London We are working with a technologically advanced global investment firm known for its deep commitment to innovation, analytical rigour, and long-term thinking. With offices across London, Hong Kong, Singapore, and Europe, and more than $12 billion AUM, the firm has grown rapidly in recent years, underpinned by a strong engineering culture that fuses quantitative research, high-performance computing, and collaborative problem-solving. Their approach combines cutting-edge technology with intelligent risk-taking — building systems where human insight and machine precision work seamlessly together. Engineers here are trusted to think critically, take ownership, and design solutions that directly shape the firm’s investment decisions and risk management capabilities. The Opportunity This is an opportunity for a Risk Developer to join the firm’s Global Risk Development team in London, a small, high-impact group responsible for the technology that supports internal P&L and risk reporting across asset classes and regions. You’ll work at the intersection of finance, data, and engineering, helping to design, build, and maintain the systems that allow risk and portfolio teams to measure performance and make informed decisions in real time. The team operates globally, with engineers based in London, Hong Kong, and Europe, collaborating closely across time zones and disciplines. Key Responsibilities • Enhance and support the firm’s global risk and P&L reporting infrastructure, a critical component of the firm’s decision-making framework., • Develop and maintain data workflows, from transformation and validation to visualisation and reporting., • Investigate and resolve production issues, performing real-time debugging and applying structured problem-solving under pressure., • Read, refactor, and extend large, organically grown codebases to improve reliability, maintainability, and performance., • Collaborate closely with risk managers, quantitative analysts, and developers to deliver high-quality solutions that balance speed and precision. Ideal Profile • 2–7 years’ experience in software development, ideally with exposure to data-rich or analytical environments., • Proficiency in Python or a comparable scripting language, with solid experience using Git and collaborative coding workflows., • Strong analytical and debugging skills, and the ability to reason through complex system interactions., • Familiarity with financial instruments or risk concepts is an advantage, but intellectual curiosity and technical rigour are valued above direct finance experience., • Comfortable working in a distributed global team, with clear communication and ownership of delivery. What You’ll Gain • The chance to work in a technology-first investment environment, where engineering is a core function — not a support role., • Exposure to global markets and real-world risk systems, with a direct line of sight to how your work influences investment outcomes., • An intellectually challenging environment that rewards curiosity, technical excellence, and collaboration., • The opportunity to contribute to a modern, evolving codebase that underpins one of the most sophisticated trading and risk management platforms in the industry.

Job Title: Quality Engineer Location: Sunbury-on-Thames - On-site Role Type: Permanent Salary: Competitive depending on experience Our client, an established aerospace manufacturing firm in Sunbury-on-Thames, require an experienced Quality Engineer to join their multi-disciplined team. Candidates would need to have lived & worked in the UK for 5+ years and be eligible for BPSS security clearance. What the role of the Quality Engineer entails: Some of the main duties of the Quality Engineer will include: • Produce and submit First Article Reports to customers and validate incoming supplier reports, • Monitor and escalate, where necessary, internal product quality issues, • Lead cross functional problem solving teams in line with the business' standard processes to ensure effective and robust corrective action is implemented, • Support the implementation and maintenance of quality metrics, • Responsible for release of Product in accordance with EASA Form 1 Requirements (CAA Part 21 and 145), FAR 145 and Certificate of Conformity of all products from the business site, including delegating responsibility during absences (following a period of training), • Achieve and maintain delegated quality responsibility from Customers and where necessary delegate to other competent individuals., • Lead and host audits carried out by customers and third parties, • Carry out internal audits in accordance with Company programme., • Deputising for the Quality Manager What experience you need to be the successful Quality Engineer: • A proven track record of working in a Quality Engineering role within a dynamic operations environment, • Understanding of regulatory requirements appertaining the supply of product for the Aerospace and Defence industries, • Familiar with the AS 9100 and FAA standards/regulations, • Significant Microsoft office skills, including creation of Excel spreadsheets, • Good command of the English language and very articulate, • Good presentation and communication skills to groups of around 10 people and to senior management, • Able to write comprehensive reports This really is a fantastic opportunity for a Quality Engineer to progress their career. If you are interested please apply as soon as possible as this position will be filled quickly so don't miss out!

Trading Desk Engineer Operations Engineer - Quant Trading 2026 Start Our client is a top-tier global proprietary trading firm that leverages the latest technology, sophisticated algorithms and deep knowledge to trade in capital markets globally. This is an environment of science and intellectuals. The firm is known globally for its attitudes and rigour more importantly, you will be surrounded by smart entrepreneurial people deeply interested in the sector who are ready to teach what they know. We are looking for 2026 graduates of juniors with sub-2 years of experience and the ability to deal with quick, difficult maths problems. You will interface with various groups within the business to ensure that all trades are reflected accurately in all systems. Specifically, the Trading Desk Engineer Operations Engineer will be involved with research, rapid development execution of trade orders, automation of processes, and personal projects. This position sits directly in a trading team and is a highly sought-after role. The role requires close collaboration with the traders, researchers and technical parts of the business to best align technical solutions with the schedules and analytic needs of various strategies. This is a role for someone with a strong level of applied mathematics or engineering with an interest in solving problems and working in a fast-paced, rewarding environment. Trade Desk Operations Engineer MUST have: • STEM degree from a top ranked University with exceptional grades, • A at A-level Maths or equivalent, • Excellent problem solver, • Strong attention to detail, • Logical thought processes, • An interest in coding with some fundamental skills in one language (VBA, Ruby, Go, Lua, Scala, Python or C++ or OO Language), • An appetite for delivering solutions to complex problem My client is based in London

Python Software Engineer – High-Frequency Trading We're working with a high-frequency trading (HFT) firm that is looking to expand its technology team with a Python Software Engineer. This is an opportunity to join a trading firm operating at the cutting edge of global markets, where technology and speed are paramount. They build and run highly scalable, ultra-low latency trading systems that compete across major global exchanges. You’ll work on some of the most complex and rewarding engineering challenges in the financial technology space. The Role As a Python Software Engineer, you’ll collaborate with traders, quantitative researchers, and other developers to design, develop, and optimise trading infrastructure. You’ll be directly contributing to systems that operate at nanosecond-level latency and handle massive volumes of real-time data. Key Responsibilities • Develop and maintain systems for real-time market data, trade execution, and reconciliation., • Optimise performance and scalability across key trading infrastructure components., • Partner with cross-functional teams to improve tooling, observability, and automation., • Deliver robust, production-ready solutions in a fast-paced environment. Requirements • Min 2+ years of Python experience in a professional setting (HFT, trading, fintech, or other high-performance domains)., • Exposure to C++ or willingness to work in multi-language environments is a plus., • Familiarity with SQL databases and Linux-based systems., • Interest in financial markets, real-time systems, or algorithmic trading. Why Apply? • Opportunity to work on high-impact systems used in live trading., • Collaborate with some of the brightest minds in quantitative finance and software engineering., • Competitive compensation package with a base salary, plus bonus. We are reviewing applications on a rolling basis. If this role sounds like a fit, apply now to learn more. Please note: Due to high application volume, we’re only able to respond to candidates who are shortlisted within 3 working days.

Location: London (onsite, full-time) Compensation: Competitive base + discretionary performance-based cash bonus We’re looking for an Engineer with DeFi experience (or strong interest) to a 1-man Defi Trading shop, building and scaling a profitable automated DeFi trading system. The system is live, consistently profitable, and fully market-neutral, with a current AUM of $10M+. You’ll work directly with the founder to optimise existing infrastructure, develop new venue connectors, and expand trading strategies across on-chain ecosystems. Key Responsibilities • Improve and optimise the existing DeFi trading system written primarily in Rust and Solidity, need to have a personal interest in the languages, • Design and build new connectors to access additional venues and liquidity sources, • Collaborate directly with the founder on strategy implementation and system architecture, • Monitor and maintain live systems to ensure performance and reliability, • Participate in idea generation and contribute to ongoing R&D in systematic DeFi strategies Requirements • Anyone with 2–3+ years of professional software engineering experience, • Strong proficiency in Rust (or another systems language with proven Rust competency through projects), • Familiarity with DeFi protocols, smart contracts, or on-chain trading systems, • Ideally experience with a trading firm, exchange, platform where you have worked with building new connectors. Onsite in London (Paddington WeWork). Competitive base salary + performance bonus; equity not required If you’re interested please share your CV to or TG: @JaydenLaz_12 If this is not of interest/does not reflect your skill set but you are open to work, please let me know and can discuss!

AI Engineer Rate - £850 Hybrid working - London What you'll do • Design and build AI prototypes using LLMs, agentic workflows, and vector-based knowledge retrieval, • Collaborate with investment teams and data scientists to identify and scope high-impact use cases, • Implement and orchestrate multi-agent systems using frameworks such as LangGraph or similar tools, • Develop pipelines and interfaces for prompt engineering, context injection, and fine-tuned workflows, • Strong proficiency in Python, particularly for AI/ML, data engineering, or automation use cases, • Experience working with or building applications around large language models (open-source or commercial), • Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management, • Experience with cloud platforms (AWS preferred) and associated services for AI workloads, • A background in software engineering or data science, ideally in a research-driven or exploratory environment, • Experience working with knowledge graphs or vector databases, • Experience working in an agile environment with rapid prototyping and iteration, • Exposure to front-end frameworks (e.g. React) is a nice-to-have but not required, • Interest in the evolving field of AI governance, accuracy, and explainability, • Understanding of investment data – an eagerness to learn is fine

Role: Rust Software Engineer - Up to £190k + Bonus Salary: Up to £190k + Bonus Location: London (Hybrid) Skills: Language agnostic, just need to be a keen technologist (Ideally experienced in Rust, Python or C++) This firm is an elite company with high tech standards who have previously set tech world records. They are made up of some exceptionally talented individuals who above all are passionate about using the latest and greatest tech and pushing it to the limits. They’ll find the best team to suit your skillset/interests but you could be working on: • Designing and developing scalable, tested and production grade distributed systems, • R&D work for functional programming; either pre-existing languages (such as Rust and Erlang), or purpose-built languages similar to OCaml, • Building out Machine Learning Infrastructure and tweaking research models What else is in it for you? • Software Engineers are treated as the company's #1 asset, • Low attrition rate; people working there love what they do on a daily basis!, • Very friendly, tight-knit environment, • Flat structure, with a clear progression route

Oneday is an education technology platform designed to inspire and equip aspiring entrepreneurs from diverse backgrounds to turn their business dreams into reality. Backed by $20M in funding from top-tier VCs in the UK and Silicon Valley, Oneday is scaling rapidly. We are on a mission to redefine business education and is set to become the largest business school in the world by the end of 2025. Join us and be part of a team that’s revolutionizing how entrepreneurship is taught and practiced! The Role As a Senior Fullstack Engineer at Oneday, you will play a pivotal role in building a performant, reliable, and elegant product experience across our platform – both frontend and backend. Our product includes a learning management system (LMS) for students, mentors and academic staff, a mentor-focused student management tool analytics and reporting dashboards, and multiple 3rd-party integrations. You will also work on integrations with Learning Management Systems and the development of LTI (Learning Tools Interoperability) applications. Key Responsibilities • Architect, implement and maintain features across Oneday’s platform – from database to UI., • Design, develop, and maintain LTI applications that integrate Oneday’s platform with third-party LMSes., • Collaborate with academic partners to understand integration requirements, ensuring seamless user experiences for students, mentors, and staff across different LMS environments., • Deliver intuitive, performant and responsive UIs using modern frontend technologies., • Identify and address technical debt, performance bottlenecks and security vulnerabilities., • Stay up-to-date with LMS and EdTech standards and ensure our integrations remain compliant and future-proof. Requirements • Owner mentality. Most of the code you write is here to stay, so you should understand it inside out and own it end-to-end., • Excellent problem solving skills. Not only do we expect you to come up with working solutions, we will often challenge you to actively look for the simplest and most optimal one., • Experience building and deploying LTI applications, with evidence of past projects or the ability to describe in detail the LTI apps you have built., • Experience working with LMS platforms such as Canvas, openEdx, Brightspace, or similar., • Excellent knowledge of fundamental web technologies: JavaScript, HTML, CSS, DOM and other browser APIs., • Backend fluency: Proficient in at least one backend language (e.g., Node.js, Go, or PHP) and solid experience working with REST and GraphQL APIs., • Database knowledge: Experience designing and interacting with relational databases (e.g., PostgreSQL, MySQL) and/or document stores., • Very good command of modern front-end tech and tools: TypeScript, React and SSR, SCSS, state management libraries, bundlers, test frameworks, etc., • Very good understanding of the web as a whole: protocols and standards, such as HTTP, TLS, CORS and CSP, OAuth and other authentication methods, API styles such as REST, GraphQL, etc., • Ability to work within regular UK working hours. Bonus points if you: • Have prior experience in the EdTech space, particularly with student/teacher-facing products and integrations, • Have a keen eye for design and love honing delightful user experiences and UIs., • Are comfortable with operationalising software: working within CI/CD environments, utilising different release strategies, familiar with cloud providers such as AWS or GCP, etc, • Hold a Bachelor’s degree in CS or a similar STEM degree, or have a solid understanding of computer science fundamentals (algorithms, data structures, basic math) and software engineering principles (abstraction, complexity, different programming paradigms, etc)

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

Band 6 Speech and Language Therapist – SEMH School, Vauxhall. Assess and identify pupils’ speech, language, and communication needs. Plan and deliver individual and group therapy sessions.

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!

We’re supporting a Global Energy Trading firm in their search for a skilled Support Engineer to be responsible for maintaining and enhancing their Openlink Endur and CTRM platforms. This role is critical to ensuring the smooth operation of their commodity trading systems across multiple time zones and business functions. You’ll work closely with front, middle, and back office teams to resolve issues, optimize system performance, and maintain high levels of availability during live trading. Key Responsibilities • Provide first-line and second-line support for commodity trading and live position systems during trading hours., • Manage and monitor CTRM and integrated systems for intraday and end-of-day processing., • Diagnose and resolve time-sensitive batch processing issues, performing root cause analysis and implementing corrective actions., • Proactively monitor system health and escalate incidents where necessary., • Collaborate with internal stakeholders, vendors, and clients to communicate incident updates, planned outages, or system changes., • Log, prioritize, and manage tickets efficiently to ensure timely resolution., • Coordinate with the Service Desk to route requests to the appropriate teams., • Support regional users and maintain consistent service quality across global operations., • Contribute to process improvement and knowledge-sharing initiatives within the support team. Technical Skills & Experience • 10+ years of experience in IT, including 5+ years in the energy trading domain., • Strong functional expertise in Openlink Endur (APAC, EU & NA Gas and Power)., • In-depth understanding of trade lifecycle processes — trade capture, risk management, confirmations, invoicing, and end-of-day batch operations., • Hands-on experience supporting CTRM environments and their upstream/downstream systems., • Good grasp of Risk, P&L, and P&L attribution concepts., • Proficiency in at least one programming language (Java, .NET, etc.); knowledge of OpenJVS is an advantage., • Working knowledge of SQL and database analysis for troubleshooting and performance optimization., • Experience supporting teams across multiple regions and time zones., • Willingness to work on a rotating shift schedule to support global trading operations. We look forward to hearing from you!

Crossing Hurdles is a recruitment firm. We refer top candidates to our partners working with the world’s leading AI research labs and fast-growing startups to help build cutting-edge technology. Role: LLM - Sr. Software Engineer – LLM Evaluation & Repository Validation Type of Role: Short-term Contract Engagement Duration: 1 month (with possible extensions) Commitment: 10–40 hrs/week (flexible, partial PST overlap required) Start Date: Immediate Rate Range: $80–$125/hour Project Overview We’re building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. Engineers will work on diverse projects such as enabling models to traverse complex code bases or building agents that boost model performance. Role Overview — What Does a Typical Day Look Like? • Work across multiple projects aimed at improving LLM performance on code., • Lead and deliver end-to-end agent use cases (e.g., home automation agents, coding copilots, creative design assistants)., • Collaborate with the team to identify edge cases and ambiguities in model behavior., • Review and compare 3–4 model-generated code responses per task using a structured ranking system., • Evaluate code diffs for correctness, quality, style, and efficiency., • Provide clear, structured rationales for evaluation decisions. Required Skills & Experience • Several years of software engineering experience, including 1+ continuous years at product companies, • Strong expertise in Rust development and deploying scalable, production-grade software., • Deep understanding of software architecture, debugging, and code quality assessment., • Proven ability to review code diffs and evaluate correctness, maintainability, and efficiency., • Proficiency in backend languages (Java, Rust, Go, Node, Python, C++) and frontend frameworks (Typescript, JavaScript, React, Vue, Angular, jQuery)., • Excellent oral and written communication skills. P.S. After applying, within 1–2 days, you will hear from us via email and LinkedIn InMail, so please keep track of it.

For this role it is essential that you currently hold or have recently held DV clearance. About us We’re a unique, family operated software development company founded in 2016 on trust, talent and care. We have created a close-knit community where we really connect with and support each other. Work-life balance, collaboration and professional development are always at the forefront of what we do. We specialise in building and consulting on bespoke applications tailored to customer requirements. We use the latest technologies and best software practices to engineer top quality systems which we can be proud of. We always put total trust in our engineers’ skillsets and avoid micro-management and bureaucracy. Join our team today for the opportunity to be a big part of a small, high-performing software company delivering meaningful work. Job Description As a senior software engineer, you will be responsible for designing and building industry-leading software in response to customer business needs. You’ll be expected to take ownership over areas of software or entire systems, taking responsibility over the full software lifecycle, from design through to development, testing and deployment – often working across a wide range of technology stacks. You will support or lead on customer communication and be able to explain technical concepts to business stakeholders. You should be comfortable mentoring more junior engineers, sharing your knowledge and influencing best engineering practices. This is a full-time role, and in most cases you will work hybrid between home and office. Responsibilities • Develop high quality code according to best practice and industry standards, • Lead on design and delivery of prioritised requirements, • Communicate regularly with customers, • Collaborate and knowledge share with other engineers, • Influence technical direction and engineering best practices About You You are: • A proactive problem solver, • An excellent communicator of technical concepts, • Quick to assist those around you and help them develop their skills, • Comfortable taking responsibility for technical direction and decision making, • Minimum 2-3 years’ experience in a widely used programming language such as Java, JavaScript / TypeScript, Python or C++, • Experience taking ownership and responsibility over areas of software, design, or engineering teams, • Ability to hold and maintain a DV clearance, • AWS experience, particularly AWS Certifications at Associate level, • Understanding of containerisation and Linux operating systems, • Automated deployment, CI/CD and testing patterns, • Experience with Agile methodologies Benefits • 27 days of paid leave, not including public holidays, • Access to AWS training through our AWS Partner programme, • Private health insurance, • Mental health and well-being support, • Free tea / coffee for your home office, • Regular socials, including larger annual company socials, • Annual performance related bonus scheme, • Company growth bonus scheme, recognising employee contributions to organisational success, • Enhanced parental leave (maternity & paternity), • Employee discounts, • Cycle to work scheme Salary is dependent upon the candidate’s level of experience and demonstrated capability. Typical salary ranges for this role are anticipated to fall within £45,000 to £95,000 per annum. This range is intended to reflect the breadth of skills, qualifications, and relevant industry background expected of prospective applicants. Remuneration outside this band may be considered in exceptional circumstances where a candidate offers significant additional value or possesses highly specialised expertise directly aligned to the requirements of the role.

Job Title: Mesa Graphics Software Developer Location: Remote Key Responsibilities: • Engaging with clients to discuss technology matters and representing our client at conferences and trade shows to showcase our leadership in the open-source domain., • Examining client challenges and devising solutions by harnessing open-source technologies and leveraging our clients technical proficiency., • Collaborating with the delivery team to define and scope client projects effectively., • Actively participating in open-source projects, contributing publicly to ensure our clients sustained technical excellence., • Acquiring a comprehensive understanding of customers' products, applications, technical strengths, business strengths, and target markets., • Comprehending client requirements while balancing time constraints, available technologies, resources, and adhering to open-source best practices. Required Skills: • Hands-on involvement in making direct contributions to the Mesa 3D Graphics Library, including OpenGL, Vulkan, DRI, and Gallium drivers., • Proficiency in Linux, with a solid background in its use and administration., • Familiarity with open-source development practices and active engagement within relevant open-source communities., • Strong English language skills, both in written and verbal communication., • Capability to effectively collaborate and communicate in a fully distributed online work environment. Desired Skills: • Beneficial experience with Continuous Integration (CI) tools such as Jenkins, LAVA, and GitLab CI, and proficiency in testing frameworks like Piglit, GL/Vulkan CTS, and dEQP., • Strong aptitude for self-learning to acquire a comprehensive understanding of our clients services, business model, project delivery life cycle, and other associated technical domains., • A Bachelor's degree (BS/BA) or relevant experience in an Engineering role.

Crossing Hurdles is a recruitment firm. We refer top candidates to our partners working with the world’s leading AI research labs and fast-growing startups to help build cutting-edge technology. Role: LLM - Sr. Software Engineer – LLM Evaluation & Repository Validation Type of Role: Short-term Contract Engagement Duration: 1 month (with possible extensions) Commitment: 10–40 hrs/week (flexible, partial PST overlap required) Start Date: Immediate Rate Range: $80–$125/hour Project Overview We’re building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. Engineers will work on diverse projects such as enabling models to traverse complex code bases or building agents that boost model performance. Role Overview — What Does a Typical Day Look Like? • Work across multiple projects aimed at improving LLM performance on code., • Lead and deliver end-to-end agent use cases (e.g., home automation agents, coding copilots, creative design assistants)., • Collaborate with the team to identify edge cases and ambiguities in model behavior., • Review and compare 3–4 model-generated code responses per task using a structured ranking system., • Evaluate code diffs for correctness, quality, style, and efficiency., • Provide clear, structured rationales for evaluation decisions. Required Skills & Experience • Several years of software engineering experience, including 1+ continuous years at top-tier product companies (e.g., Google, Stripe, Amazon, Apple, Meta, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research)., • Strong expertise in full-stack application development and deploying scalable, production-grade software., • Deep understanding of software architecture, debugging, and code quality assessment., • Proven ability to review code diffs and evaluate correctness, maintainability, and efficiency., • Proficiency in backend languages (Java, Rust, Go, Node, Python, C++) and frontend frameworks (Typescript, JavaScript, React, Vue, Angular, jQuery)., • Excellent oral and written communication skills. P.S. After applying, within 1–2 days, you will hear from us via email and LinkedIn InMail, so please keep track of it.

AI Engineering Leader — R&D Ref:KM46818 Seeking an AI Engineering Leader to drive research and development of advanced AI technologies (including machine learning, deep learning, large-scale language models, and multimodal systems) and lead the engineering effort to prototype, validate, and integrate those technologies into practical mobility solutions. The role includes setting technical strategy, collaborating with cross-functional teams, and engaging with external research partners across Europe. TYPE: Full-time SALARY: To be determined based on experience START: flexible LOCATION: United Kingdom (South East — near London). Exact location will be disclosed to shortlisted candidates Company overview A major automotive-related R&D centre focused on researching and developing enabling technologies derived from cutting-edge European research and industry trends. The site contributes to the company’s autonomous driving and MaaS (Mobility-as-a-Service) initiatives by identifying and integrating valuable technical elements. The client's name is kept confidential for this posting. Key responsibilities • Lead research and roadmap development for advanced AI technologies, • Build prototypes and proof-of-concepts, conduct evaluations, and transition successful results toward implementation, • Provide technical leadership in software and system design with attention to performance, safety, and scalability, • Coordinate with cross-functional teams (software, sensors, systems, product owners) to drive integration, • Identify and manage collaborations with external research institutions and industry partners; perform technology scouting, • Recruit, mentor and grow engineering talent; support hiring and long-term team development, • Contribute to MLOps practices and help establish deployment pipelines and CI/CD for model and system rollouts Required experience & skills • Practical experience in advanced AI (machine learning, deep learning, or large language/multimodal models), ideally with leadership responsibility in research or development projects, • Strong Python implementation skills and experience with ML frameworks (PyTorch, TensorFlow, etc.), • Proven track record of designing, implementing, and evaluating complex technical solutions, • Experience leading technical teams or projects and making technical decisions, • Professional proficiency in English (written and spoken) for documentation and external communication Preferred experience & skills • Background or knowledge in autonomous driving, robotics, sensor fusion, multimodal perception, or planning/control, • Experience operating and optimizing large-scale models, cloud/edge infrastructure, and MLOps pipelines, • Familiarity with C++, ROS, or embedded/vehicle-grade development workflows, • Master’s or PhD in Computer Science, Machine Learning, Robotics, or related fields, • Experience transitioning from other industries (e.g., tech, research labs, robotics, mobility startups) into applied mobility R&D, • Japanese language ability is an advantage but not required *When contacting us, please include the job reference number (Ref: KM46818) at the top of your message. If your application is successful, you will be contacted within two business days. We regret that due to the high volume of applications we receive we cannot provide feedback on individual CVs.

Location: London, On-site Work Company: Bayforest Technologies Compensation: Competitive, with performance-based bonus Visa: We are a licensed sponsor under the UK Skilled Worker visa route and are happy to consider applications from international candidates. Software Engineer – Systematic Trading Bayforest is a multi-award-winning, employee-owned investment management group specializing in algorithmic trading. We operate without venture capital or private equity involvement, ensuring complete independence and alignment with our mission. Our robust strategies are powered by the vast amounts of data we process daily and our deep expertise in managing information streams efficiently. Trusted by some of the world’s leading institutions, Bayforest combines scientific rigor with cutting-edge engineering, earning numerous industry awards and consistent recognition for performance and innovation. We stand out not only for our results but also for our distinctive, research-driven approach that sets us apart from mainstream competitors. We are seeking versatile software engineers to join our exceptional team and contribute to the ongoing development of our proprietary, data-driven systems. You’ll play a key role in designing, implementing, and optimizing software components that power our systematic trading strategies. This is a rare opportunity to collaborate closely with highly experienced engineers and quantitative researchers whose backgrounds span market-making hedge funds, global tech firms, and leading investment banks. Qualifications • Demonstrated interest in mathematics, physics, engineering, or computer science (minimum BSc or equivalent)., • Proven experience as a software engineer, demonstrated through professional work, personal projects, or open-source contributions., • Proficiency in at least one statically typed language and Python., • Strong understanding of low-level systems concepts — from assembly to memory models — enabling deep insight into performance and architecture., • Familiarity with best practices in software design, build processes, test-driven development, and code reviews., • Interest in algorithms, data structures, and efficient handling of large-scale data., • Solid working knowledge of Linux environments and infrastructure., • A collaborative mindset and the ability to communicate complex ideas clearly., • Curiosity and motivation to stay up to date with emerging technologies, particularly in trading and financial markets. What We Offer We offer a competitive salary, discretionary bonus, benefits and the opportunity to join one of the most respected and collaborative scientific teams in the industry. At Bayforest, we pride ourselves on our transparency, pragmatism, and relentless pursuit of excellence. Our headquarters is located in St James’s Park, London, with additional offices in Athens and Hong Kong.

Offensive Security Tester (Red Team) London / WFH to £70k Opportunity to progress your career as an Offensive Security Tester at a rapidly expanding scale-up software house that is developing a highly complex network cyber security platform; you'll be working on Greenfield projects, collaborating with and learning from a hugely talented team. Your role: As an Offensive Security Tester you will manage client engagements, perform security tests and report findings; you'll be using industry standard combined with in-house developed tools as well as carrying out manual reviews to discover any issues with customer infrastructure and web applications. You'll be pro-active and will have the opportunity within Red Team testing to try anything and everything to outmanoeuvre the defenders and gain access to customer networks. WFH Policy: There's a remote interview / onboarding process and the ability to work from home for the majority of the time with only occasional visits to the London, City offices (i.e. once a quarter). About you: • You're degree educated, having achieved a 2.1 or above from a Russel Group or top tier world university - Computer Science, Engineering, Physics or Mathematics; MSc or PhD advantageous, • You're OSCP or CRT certified, • You have commercial experience with Offensive Security, Red Team testing or Penetration testing, • You have a keen interest in Cyber Security and understanding of key concepts and protocols, • You can code with any OO programming language (e.g. Python, C++, C#, Java), • You have experience of using different operating systems and networking technologies, • You have a good understanding (and interest in) low level concepts including operating systems and networking, • You have excellent written and verbal communication skills What's in for you: As an Offensive Security Tester (Red Team) you will receive: • Salary to £70k, • Remote working (once a month in London), • Continuous training and career development including paid for certifications Apply now to find out more about this Offensive Security Tester (Red Team) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

We are delighted to be supporting an Outstanding secondary school in North East London who are seeking a Teacher of English to join their team from January 2026.This is an excellent opportunity for a passionate and creative English teacher who believes in the power of language and literature to insp

We are hiring a talented graduate Electronic Engineer to join our team in the UK, working from our head office and lab in London (nearest station is Limehouse on the DLR). Salary range: £30,000-£35,000 We are looking for an ambitious professional looking for a unique opportunity to grow with our company as we scale up. This role offers an exciting opportunity to work on cutting-edge projects and contribute to the development of innovative hardware solutions across various industries. We will offer you a dynamic environment that encourages your personal development and will help you build on your existing skills. Responsibilities Assist in the design, development, and testing of electronic prototypes and products Contribute to PCB design and assembly using our in-house equipment Collaborate with multidisciplinary teams on product development projects Participate in the entire product development lifecycle, from concept to manufacturing Help with hardware troubleshooting and debugging Contribute to documentation and technical reports Stay updated on the latest technologies and industry trends Requirements Master's degree (or 2+ years of direct equivalent experience) in Electronic Engineering Strong proven foundation in electronic circuit design and analysis Familiarity with PCB design software (e.g. Altium Designer) Good knowledge of microcontrollers and embedded systems Proficiency in at least one programming language (e.g., C, C++) Excellent problem-solving and analytical skills Strong communication and teamwork abilities Enthusiasm for learning and working in a fast-paced environment Desirable Skills Experience with 3D CAD software Knowledge of IoT technologies and wireless communication protocols Familiarity with rapid prototyping techniques (3D printing, CNC machining) Interest in emerging technologies such as AI and machine learning About Fiddlie Fiddlie is a leading London-based prototyping and product development lab specialising in hardware engineering and early-stage tech development. We work with startups and individuals to bring innovative ideas to life, offering a range of services including product development, design for manufacture, software development, and tech consulting.

About the Role (Dubai based) We are seeking an experienced and visionary Head of Data Science & Machine Learning to lead and scale our data science organization. In this role, you will drive innovation and execution across core ML pillars such as Search, Recommender Systems, Personalisation, and Generative AI (GenAI) to power the next generation of user experiences. You will be responsible for shaping the strategy, building high-performing teams, and delivering impactful ML-driven features that directly influence key business outcomes. This is a hands-on leadership role that blends deep technical expertise with strategic vision and cross-functional collaboration. Key Responsibilities Strategic Leadership • Define and execute the long-term strategy for Data Science & ML aligned with company goals., • Champion a culture of innovation, experimentation, and scientific rigor., • Stay on top of industry trends and emerging technologies in AI/ML, particularly in GenAI, Search, RecSys, and Personalisation. Search & Information Retrieval • Lead the development and optimization of scalable search systems, including relevance tuning, semantic search, and ranking algorithms., • Integrate LLMs and transformer-based models to enhance search accuracy and contextual understanding. Recommendation Systems & Personalisation • Oversee the design and deployment of large-scale recommender systems (collaborative filtering, deep learning-based, hybrid models)., • Drive user-centric personalisation across product surfaces using behavioural, contextual, and real-time data., • Ensure systems are explainable, bias-aware, and continuously improving. Generative AI (GenAI) • Spearhead the application of GenAI across product areas (e.g., content generation, chat assistants, creative tools)., • Evaluate and fine-tune large language models (LLMs) or multimodal models to meet domain-specific needs, • Partner with engineering and product teams to deploy GenAI solutions that are scalable, secure, and responsible. Team & People Management • Build, mentor, and retain a world-class team of data scientists, ML engineers, and research scientists., • Foster a collaborative, inclusive, and high-performance team culture., • Implement best practices for experimentation, model development, and production deployment. Cross-functional Collaboration • Work closely with Product, Engineering, Design, and Marketing to align ML initiatives with business priorities., • Translate abstract product ideas into concrete ML solutions with measurable impact., • Communicate complex technical ideas clearly to non-technical stakeholders. Qualifications Required: • 10+ years of experience in applied data science / ML, with at least 3 years in a leadership role., • Proven experience delivering production-grade systems in Search, Recommender Systems, or Personalisation., • Strong understanding of ML fundamentals and deep learning frameworks (e.g., PyTorch, TensorFlow, JAX)., • Hands-on experience with GenAI, including working with LLMs (e.g., OpenAI, Anthropic, HuggingFace models)., • Deep knowledge of MLOps, experimentation, and model evaluation techniques., • Experience scaling ML platforms, pipelines, and tooling in cloud environments (e.g., AWS, GCP, Azure). Preferred: • PhD or MS in Computer Science, Machine Learning, Statistics, or a related field., • Publications or patents in relevant areas (Search, RecSys, GenAI)., • Familiarity with data privacy, model fairness, and responsible AI principles., • Experience in [insert domain: e.g., e-commerce, media, fintech, healthcare].

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

Ruby Fullstack Engineer, Mid-Level Hayes, London Hybrid We are looking for someone with 2+ years of experience in web application development to join our growing tech team. We value autonomy and initiative, and are passionate about building scalable, high-quality web applications. This role is focused on writing reliable code, testing, and ensuring minimal downtime. Bonus points if you’ve worked on improving code quality and productivity through applied technical patterns! As the UK’s only B Corp Certified salary sacrifice provider, we’re transforming the future of electric vehicle adoption in the UK through salary sacrifice. Building on that success, we’ve launched The Charge Scheme – an innovative benefit allowing employees to save 20–50% on EV charging via salary sacrifice. Voted 4.9 on Glassdoor and certified by Welcome To The Jungle, it’s never been a more exciting time to join! Key Responsibilities: • Develop, evolve, and maintain our core web application using Ruby, Rails, React, and TypeScript., • Collaborate closely with product managers and other stakeholders to deeply understand business needs and translate them into technical solutions., • Contribute actively to our technology roadmap and priorities, working alongside your team members, key stakeholders, and leadership., • Build a highly automated and reliable platform that serves both our external customers and internal teams., • Take on ambiguous or loosely defined problems, analysing them, and proposing effective technical approaches and solutions. About you: • 2+ years of professional experience building web applications using Ruby, Rails, React, and TypeScript., • Strong backend development skills with a willingness to contribute across the full stack (frontend, infrastructure, etc.)., • Proactive and self-driven, able to take ownership of tasks from conception to deployment., • Excellent communication skills, capable of translating complex technical concepts into clear, understandable language for non-technical colleagues., • Experience with various testing methodologies (e.g., unit, integration, end-to-end) and a commitment to writing well-tested code., • A commitment to robust and reliable software delivery, including familiarity with practices like no-downtime deployments, proactive monitoring, and identifying potential risks. Benefits: • Hybrid working with 2 days in the office (Hayes, London), • 25 days holiday plus bank holidays, • Add 1 day holiday per year service + buy / sell up to 5 days each year, • Flexible work policy with options to take into account family care, • Best in class Family Friendly Leave and Pay, • Use our own scheme to lease a vehicle through salary sacrifice and save 40-70% to drive a brand new electric car, • £500 pa. personal development budget, • £100 home office budget, • Bupa healthcare, • Equity options - own a part of the business

Data Scientist Up to £70,000 Join a Brand Equity start up that partners with leading CPG and retail brands better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: • Responsible for integrating multiple previously disconnected datasets, • Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision, • Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions, • Enhancing understanding of consumer behaviour, market trends, and emerging patterns., • Play a key role in standardising AI into a global solution 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 1–2 days onsite per week onsite in Central London. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

Role: Distributed Systems Software Engineer - Up to £190k + Bonus Salary: Up to £190k + Bonus Location: London (Hybrid) Skills: Language agnostic, just need to be a keen technologist (Ideally experienced in Rust, Python or C++) This firm is an elite company with high tech standards who have previously set tech world records. They are made up of some exceptionally talented individuals who above all are passionate about using the latest and greatest tech and pushing it to the limits. They’ll find the best team to suit your skillset/interests but you could be working on: • Designing and developing scalable, tested and production grade distributed systems, • R&D work for functional programming; either pre-existing languages (such as Rust and Erlang), or purpose-built languages similar to OCaml, • Building out Machine Learning Infrastructure and tweaking research models What else is in it for you? • Software Engineers are treated as the company's #1 asset, • Low attrition rate; people working there love what they do on a daily basis!, • Very friendly, tight-knit environment, • Flat structure, with a clear progression route

I’m working with a top AI firm hiring Senior Software Engineers into their R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Computer Vision Engineer - Robotics 🌍 Location: London (onsite) 💸 Package: Negotiable + stock options What you’ll be doing • Training policies via representation learning, behaviour cloning & RL from data to deployment., • Building pipelines that fuse vision, language, audio, proprioception & 3D data., • Scaling distributed training + optimising models for real-time edge inference., • Helping shape how intelligent systems learn and act in the real world. What we’re looking for • 3+ years developing deep learning systems with shipped models or published research., • Hands-on with Vision Language Models, LLMs or generative models., • Strong Python + PyTorch/JAX skills (debugging, profiling, shipping)., • Passion for bridging the gap between simulation and reality. This is one of the most exciting and technically challenging roles I’ve see with the chance to make a real impact on how AI and autonomy move from research into the real world. We’re especially keen on candidates with autonomous vehicle/machinery experience who are happy to be on-site in London. Interested? Apply to be considered.

Senior Data Scientist Up to £80,000 Join a Brand Equity start up that partners with leading CPG and retail brands better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: • Responsible for integrating multiple previously disconnected datasets, • Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision, • Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions, • Enhancing understanding of consumer behaviour, market trends, and emerging patterns., • Play a key role in standardising AI into a global solution 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 1–2 days onsite per week onsite in Central London. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

About Us We are an AI-native, VC-backed startup building a multimodal, proprietary foundation model with a profound understanding of retail, designed to hyper-personalise every shopper touchpoint. As we scale from research to production, we need robust infrastructure that makes our models reliable, reproducible, and observable at scale. As a Senior MLOps Engineer, you will own the infrastructure and tooling that turns experimental models into dependable production systems. You will build the pipelines, monitoring, and deployment workflows that allow our Research Engineers to move fast without breaking things. If you want to operate at the intersection of machine learning and production systems engineering, this role is for you. What You Will Do • Build and maintain CI/CD pipelines for model training, evaluation, and deployment across research, staging, and production environments., • Design and implement model registries, versioning systems, and experiment tracking to ensure full reproducibility of all model releases., • Deploy ML workflows using tools like Airflow or similar, managing dependencies from data ingestion through model deployment and serving., • Instrument comprehensive monitoring for model performance, data drift, prediction quality, and system health., • Manage infrastructure as code (Terraform, or similar) for compute resources, ensuring efficient scaling across training and inference workloads., • Collaborate with research and engineering teams to establish system SLOs/SLAs aligned with business objectives., • Build tooling and abstractions that make it easy for Research Engineers to deploy models reliably without needing deep infrastructure knowledge., • Ensure compliance, governance of all ML processes and workflows. What We Look For • Experience building and operating ML infrastructure, ideally in production environments serving real users., • Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows., • Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems., • Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure)., • Experience with relational databases and data processing and query engines (Spark, Trino, or similar)., • Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus, Grafana, Datadog, or equivalent)., • Understanding of ML concepts. You don't need to train models, but you should speak the language of Research Engineers and understand their constraints., • A mindset that balances reliability with velocity: you care about reliability and reproducibility, but you also enable teams to ship fast. Nice to Have • Experience delivering API services (FastAPI, SpringBoot or similar)., • Experience with message brokers and real-time data and event processing (Kafka, Pulsar, or similar). Why Join Us • You'll be part of a small, high-output team where intensity and focus are the norm., • You'll own the infrastructure that enables research to reach customers reliably and at scale., • You'll solve hard problems at the edge of ML systems: multi-modal models, on-device deployment, real-time inference, and retail-scale operations., • You'll work alongside people who care deeply, move quickly, and hold a high bar for excellence.

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

Founding Machine Learning Engineer £140,000 - £160,000 + Equity 3 days minimum in Central London Opus are hiring on behalf of a fast-growing, Y Combinator-backed start-up that’s redefining how financial data is processed and understood. Operating at the intersection of AI and enterprise infrastructure, this company is building intelligent systems that extract meaning from complex, unstructured documents at scale. Their platform is already trusted by leading firms in the alternative investment space, and they’re now expanding their machine learning team to accelerate innovation. This is not a research role. It’s a high-impact product engineering role in forward-deployed style where your work ships into production and is used by customers daily. Key Requirements Candidates should bring a minimum of five years’ experience in machine learning engineering, with demonstrable expertise in: • Natural Language Processing (NLP), information extraction, and working with large language models (LLMs), • Python programming and major ML frameworks such as PyTorch or TensorFlow, • MLOps practices including containerisation (Docker), orchestration (Kubernetes), and CI/CD pipelines tailored for ML workflows, • Utilising AI-enhanced development environments and tools to streamline experimentation and deployment, • Cross-functional collaboration with engineering, product, and business stakeholders, • Agile methodologies and fast-paced product development environments Preferred Qualifications The following will be considered advantageous: • Advanced academic credentials (Master’s or PhD) in computer science or a related field, • Experience in training and deploying LLMs at scale, • Familiarity with cloud infrastructure and distributed computing environments, • Exposure to modern ML tooling such as Modal, Weights & Biases, or Amazon SageMaker, • Knowledge of fine-tuning techniques including LoRA, QLoRA, or other parameter-efficient frameworks Role Overview The successful candidate will be responsible for designing and implementing machine learning solutions that interpret and structure unorganised financial data. This includes: • Developing models for classification, entity recognition, summarisation, and retrieval, • Customising and refining LLMs for specific business applications, ensuring optimal performance and scalability, • Collaborating with data engineering teams to prepare and transform large datasets for model training, • Building robust ML services with monitoring, retraining, and performance tracking capabilities, • Enhancing the organisation’s MLOps infrastructure, including model lifecycle management and evaluation systems, • Partnering with product and engineering teams to embed ML capabilities into core platforms, • Staying abreast of emerging research in LLMs and agentic AI, and applying relevant innovations to production systems, • Supporting team development through code reviews and mentoring junior engineers

Role: Software Developer (Python) - Up to £140,000 + Bonus + Package Salary: Up to £140,000 + Bonus + Package Location: London (Hybrid Working) Skills: Python as a main language This firm is an elite tech firm with high standards who have previously set tech world records. They are made up of some exceptionally talented individuals who above all are passionate about using the latest and greatest tech and pushing it to the limits. They’ll find the best team to suit your skillset/interests but you will be working on: • Some of the highest performing technology platforms that exist worldwide, alongside a handpicked group of the best talent in the sector What else is in it for you? • Software Engineers are treated as the company's #1 asset, • Low attrition rate; people working there love what they do on a daily basis!, • Very friendly, tight-knit environment, • Flat structure, with a clear progression route Does this sound good? Apply using the link or email your CV across to and I'll give you a call!

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 Lead ML Engineer, with a proven track record of delivering ML models to production, to own the ML team in our growing company. 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, • Lead our ‘AI Powered Education’ meet-up in London, building a network of ML specialists Essential skills 🙏 • Experience leading and mentoring other ML engineers, • Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production, • Experience taking complete ownership of 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 ✨ • Lead an ML team that will become the leading specialists in ML-powered education, • 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

About Us: MicroTECH-Global are working with a global leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Machine Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll contribute to innovative projects in areas such as large language models (LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: • Conduct and publish cutting-edge AI/ML research, • Design algorithms for chip optimization and intelligent systems, • Collaborate with engineering teams to integrate AI into real-world tools, • Stay current on AI trends and contribute to open research Requirements: • PhD or equivalent experience in ML, AI, CS, physics, or mathematics, • Strong publication record (NeurIPS, ICML, ICLR, etc.), • Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow), • Solid grasp of ML techniques; independent and team-oriented mindse Preferred: • Experience in LLMs, reinforcement learning, or chip design, • Familiarity with JAX and optimization frameworks Why Join Us: • Work on impactful AI research with real-world applications, • Collaborate with top researchers in a global team, • Flexible hybrid work environment, • Opportunities to publish, innovate, and grow professionally

Role: Python Software Developer - Treasury Location: London Industry: Hedge Funds Overview: A global multi-strategy hedge fund is looking to add an experienced Python Developer to join their Treasury team in London. The firm operates at hedge fund scale with a start-up pace, focusing on building high-performance trading platforms. In this role, you will design and develop cutting-edge trading, funding, and liquidity management systems, working directly with traders and decision-makers in a live-market environment. Responsibilities: • Architect and code resilient applications for trading, liquidity management, and funding operations using Python as the core language, with integration into data platforms and tools., • Engage directly with traders and treasury stakeholders during live situations, adapting to evolving requirements and delivering solutions on the fly., • Design and optimise data pipelines for real-time and historical treasury data, ensuring accuracy and performance in analytics., • Work with operations teams to deploy, monitor, and scale systems, ensuring uptime and quick incident response., • Identify technology gaps and inefficiencies, experimenting with new tools and design patterns to enhance speed and quality. Experience: • 5-15 years of software engineering experience, ideally in Treasury or from a hedge fund / buy-side firm, • Expertise in Python for designing and optimising complex applications, • Strong proficiency in data tools like Pandas, NumPy, SQL, and real-time data processing, • Familiarity with DevOps practices, including Linux, cloud platforms, and CI/CD (Docker/Kubernetes is desirable but not essential)., • Strong communication skills, managing technical and business conversations Compensation: Salary and bonuses are highly competitive DOE

I’m working with a top AI firm hiring Senior Software Engineers into their R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Machine Learning Engineer – Robotics 🌍 Location: London (onsite) 💸 Package: Negotiable + stock options What you’ll be doing • Training policies via representation learning, behaviour cloning & RL from data to deployment., • Building pipelines that fuse vision, language, audio, proprioception & 3D data., • Scaling distributed training + optimising models for real-time edge inference., • Helping shape how intelligent systems learn and act in the real world. What we’re looking for • 3+ years developing deep learning systems with shipped models or published research., • Hands-on with Vision Language Models, LLMs or generative models., • Strong Python + PyTorch/JAX skills (debugging, profiling, shipping)., • Passion for bridging the gap between simulation and reality. This is one of the most exciting and technically challenging roles I’ve see with the chance to make a real impact on how AI and autonomy move from research into the real world. We’re especially keen on candidates with autonomous vehicle/machinery experience who are happy to be on-site in London. Interested? Apply to be considered.

⚡ Lead Engineer – Major London Site BANK STATION ⚡ 📍 Central Business District | 🕒 Monday–Friday | 💼 Permanent Role We’re looking for an experienced Lead Engineer to take charge of a large, high-profile commercial site in London. You’ll be working within a strong technical team, leading day-to-day operations across multiple floors in a modern, fast-paced environment. 🔧 What you’ll be doing: • Oversee a team of multi-skilled engineers across electrical, mechanical, and water treatment disciplines., • Act as the main technical point of contact for the client—someone who speaks your language and values expertise., • Manage PPMs, reactive works, and site standards for a complex building portfolio., • Competitive package (circa £50k+) + overtime opportunities, • Monday–Friday shifts (early/late rotation), • 24 days holiday + bank holidays off, • Supportive, well-resourced engineering team

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 NLP Engineer, with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 • Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’, • Build fully-automated pipelines for dictionary building; including span identification, word sense distribution, and sense granularity decision, • 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 and train models to determine the difficulty of words, idioms, phrasal verbs etc., • 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 🙏 • Strong expertise in NLP, • Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production, • Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers, • Experience building automated data pipelines, • Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar), • Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services, • Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and information retrieval 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.

Founding Software Engineer (React and Python) About the Opportunity You will be joining an elite founding engineering team that includes the world’s number one authority in Multi Agent Reinforcement Learning, seasoned Meta Product leaders, and one of the only people in the UK who has trained a trillion token language model from scratch. This role is based in London, with two to three days per week on site, and offers a top tier salary plus equity package to reflect the strategic and high impact nature of the work. Why This Role Matters You are part of the initial engineering core, playing a pivotal role in shaping and scaling the technology platform from the ground up. You will work alongside leading researchers and product strategists at the intersection of cutting edge reinforcement learning and large scale foundational models. You will enjoy a rare opportunity to influence direction, architecture and go to market execution, with both immediate impact and long term upside via equity. Role Responsibilities • Architect, design and build foundational systems and platforms that underpin next generation AI driven products, • Collaborate closely with leading researchers and product strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production, • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models, • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration, • Drive end to end ownership from ideation to deployment, performance and scaling, • Mentor future hires and define scalable engineering culture, processes and tooling Candidate Profile • Proven track record (five plus years) in engineering roles involving scalable, machine learning intensive systems whether via start ups or technology critical environments, • Deep familiarity with large scale model training and production deployment, especially for reinforcement learning or transformer based architectures, • Hands on experience building and maintaining Frontend applications - React, Typescript, • Strong programming background in Python and or relevant frameworks such as TensorFlow, PyTorch or Hugging Face, • Fluent in cloud native development, containerisation, orchestration (for example Docker or Kubernetes) and CI/CD, • Exceptional problem solver with an entrepreneurial mindset who is comfortable with ambiguity, fast iteration and changing priorities, • Eagerness to collaborate with world class academics and product professionals to shape high impact solutions What’s on Offer • Top of market salary benchmarked for senior founding engineers in London, • Significant equity stake aligned to reward substantial contributions and long term upside, • Flexible hybrid working model with two to three days per week on site in London, balancing focused collaboration and deep work, • Direct exposure to groundbreaking research, product innovation and machine learning operations including multi agent reinforcement learning and trillion token language model training, • A start up like environment with world class talent combined with the discipline to build with scale in mind

About Buildots Buildots is transforming construction management with AI and computer vision. Our AI-powered SaaS platform automates on-site progress tracking, giving construction teams the tools to plan smarter, improve efficiency, and cut costly delays by up to 50%. The $13 trillion construction industry has seen little disruption in the past 150 years. Until now. Backed by leading VCs and industry pioneers, Buildots enables a new, performance-driven approach. Deployed on hundreds of projects across North America, Europe and the Middle East, Buildots is already reshaping the future of the world's largest industry, and we're on track for rapid expansion in 2025. Buildots’ customers include top global contractors, consultants and owners – Sir Robert McAlpine, Kier, Wates, Intel and Berkeley Homes, to name a few. What is VDC in Buildots The Construction Solution Manager will work in the Buildots VDC team. This team is a prominent component of the Buildots Operations department. The VDC team is responsible for the creation of our clients' construction projects within the Buildots system and managing the technical relationship with our clients over the life of the project. The role will involve interpretation of construction documentation (models, plans and schedules), discussion with our clients and work with internal design tools to produce the final Buildots digital twin of our clients project. The VDC team in Buildots is staffed by construction professionals (site and project managers from top UK contractors) with site experience, who bring their expert site knowledge to the VDC role. The team have extensive experience in site and trade management and use this knowledge to create a holistic understanding of how a construction project is built. The role is ideally suited to construction professionals who are looking to enter the technology industry whilst still retaining and reinforcing their existing expert construction knowledge. What you'll do: • Bring your knowledge to the creation of the ‘Buildots solution’ for global construction projects, • Conduct frequent construction-focused technical discussions with our customers, • Be a construction expert within the company to guide other internal teams, • Work by Buildots design guidelines combined with clients’ specific requirements to create a digital twin that allows them to maximise value of the Buildots Product and serves the client’s needs., • Understand the complexities of specific project’s construction methodologies to allow you to create a Buildots system that accurately represents how the client will be building the project, • As part of the overall VDC team, use your experience to constantly contribute to the optimisation of our unique design methodology to improve quality and increase efficiency, • Take a prominent part of our clients’ implementation stage, by meeting our clients at discovery sessions, understanding their specific needs, while representing Buildots product and strategy., • Collaborate with various teams, such as Account Management, Customer Success and Product, in order to support the project and our clients' needs Requirements: • 4+ years of experience on construction projects in a mainly site based role, • Working knowledge of MEP systems and installations, • Ability to effectively communicate with construction professionals on site and remotely, • Engineering or construction management (or equivalent) degree, • Working knowledge of 3D software and BIM, • Comfortable with working in a fast paced, dynamic and changeable environment, • Professional verbal and written communication skills in English, • Great interpersonal skills & interface management, • Strong organisational, time management, and problem-solving skills, • Tech savvy, proficient in computer applications, MS Office and G Suite, • Be able to attend the London office 3 days per week Advantages: • Experience working on residential, commercial or industrial building projects, • Experience with Navisworks, • Experience with Microsoft Project, Power Project or P6, • French/German language skills If you don’t meet every single requirement, we still encourage you to apply. Your unique experiences, skills, and passion may be exactly what we’re looking for. *By submitting your application, you agree that Buildots will process your personal data in accordance with Buildots' Privacy Policy.

___ is an HRTech software service (B2B SaaS) company headquartered in Bangkok, Thailand. Manatal is one of the fastest-growing start-ups in the region and is backed by Surge and Sequoia Capital. Manatal has a global presence and is trusted by thousands of businesses in over 135 countries. Our goal is to transform the entire hiring process by making it simple, efficient, and enjoyable for recruiters, hiring managers, and candidates alike. Our mission is to offer the best-in-class AI-powered technologies to empower small, medium, and large businesses in their staffing & recruitment transformation. Role Overview We seek a passionate and experienced Lead Full Stack Engineer to join our dynamic team. The ideal candidate is a seasoned software engineer who excels in designing and building complex software applications across the entire stack, particularly in single-page applications (SPA) or back-office systems. This role focuses on leading projects and technical initiatives rather than people management. We are looking for someone eager to learn, be proactive, energetic, and understand the importance of making an impact. The Lead Full Stack Engineer will be responsible for both frontend and backend development, ensuring seamless integration and high performance of web applications. Responsibilities • Lead technical initiatives and projects, ensuring high-quality delivery., • Design and implement complex software applications, emphasizing robust and scalable solutions., • Collaborate with cross-functional teams to define, design, and ship new features., • Ensure code quality and maintainability through code reviews and adherence to design patterns., • Optimize the performance of web applications to ensure fast and efficient user experiences., • Mentor junior engineers and promote a culture of continuous learning and improvement., • Address and refactor legacy code, bringing it up to modern standards and practices., • Drive changes in coding practices and standards to improve code quality and team efficiency., • Develop and maintain backend services and APIs, ensuring seamless integration with front-end applications. Requirements • Excellent communication skills and the ability to work well in a team environment., • 4-6 years of experience developing web applications in client-side frameworks such as React, Angular, VueJS, etc. 5+ years preferred., • Excellent understanding of object-oriented JavaScript and TypeScript., • Experience working on mid/large-sized projects, particularly in single-page applications (SPA) or back-office systems., • Experience in optimizing the performance of web applications., • Strong knowledge of software engineering principles and design patterns., • Understanding of backend technologies, including Node.js, Express, or similar frameworks. 5+ years preferred., • Experience with RESTful API design and development., • Familiarity with database management systems such as PostgreSQL, MySQL, etc. Working with Manatal • This role is based at our Bangkok office in the heart of the city center, • As a team of diverse cultures and nationalities, English language proficiency is required, • We enjoy collaborating in person, and the team is working on-site Why you'll enjoy working with Manatal • Well-funded start-up backed by Surge & Sequoia, • Be part of one of the fastest-growing B2B SaaS start-ups in the region, • You will be collaborating with talented individuals in the industry, • Join a lively and highly international team, • Indulge in a challenging and innovative working culture, • Attractive medical healthcare plan, • Personal development allowance, • 2 weeks of work from anywhere per year, • Regular fun team-building activities, • Company trip Our Tech Stack Our engineering team leverages a variety of modern technologies. While working with Manatal, you can expect to be exposed to the following stack • Infrastructure: Amazon Web Services, Kubernetes, GitOps (ArgoCD), GitHub Actions, • Backend: Language: Python; Web Frameworks: Python frameworks including Django and FastAPI; Databases: PostgreSQL, MongoDB, ElasticSearch, and Redis, among others; Other: Celery, RabbitMQ, among others., • Frontend: Javascript & Vue.JS Apply on our Careers Page If you are a fit for this role and are excited to join Manatal, please follow this link to apply ___ If you are a fit for this role and are excited to join Manatal, please follow this link to apply Watch our Demo Manatal Hiring At Manatal, we are dedicated to building an intuitive AI-powered applicant tracking system to streamline and transform the entire hiring and recruitment process. We are devoted to attracting the best talent worldwide to join our team and take pride in being an equal-opportunity workplace. We are committed to equal employment opportunities regardless of religion, race, ethnicity, ancestry, national origin, gender, gender identity, sex, sexual orientation, marital or parental status, disability, age, citizenship or other class protected by applicable law.

Miryco Consultants are working with a high-growth fintech specialising in regulatory solutions, strategy and operations. A private equity-backed business with strong advisory and product divisions, the hiring firm is ambitious to build on an already excellent market reputation and client base. We are seeking a Senior Engineer (Front End) with strong software experience and ambition to grow and develop their career. Responsibilities: • Architect and implement scalable front-end solutions, contributing to overall system design and collaborating with cross-functional teams to ensure seamless integration within a complex, enterprise-grade platform., • Develop clean, efficient, and maintainable code using JavaScript and modern front-end frameworks (e.g., React), while leveraging broader language experience (Java, Python) to support full-stack collaboration., • Collaborate with cloud infrastructure teams (AWS, Azure, or GCP) to support performance optimization, environment configuration, and scalable feature delivery in cloud-native applications., • Establish and maintain CI/CD practices (e.g., GitHub Actions, Jenkins), contributing to the automation of testing, builds, and deployments across development environments., • Lead and mentor front-end engineers, providing architectural guidance, driving framework adoption, and promoting front-end best practices across the engineering organization. Experience: • Minimum 5 years’ experience working as a software developer in a commercial environment., • Strong python programming experience., • Experience of managing teams., • Ability to effectively share knowledge of development experience and help junior developers continue to improve their development skills over time., • Strong foundations in object-oriented programming. Location: London Please note, our client is unable to offer sponsorship for this opportunity. Finally, should you not be contacted within five working days of submitting your application, then unfortunately you have not been shortlisted for the opportunity. We will however, be in touch should there be any other opportunities of potential interest that are suiting to your skills. For similar roles, please follow ___ For similar roles, please follow

Staff Software Engineer – AI/ML (Business Systems Intelligence) London-based Remote if you don't live in London (2 days in office if you are London based) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML), you’ll be the technical lead for a newly formed AI Engineering function, designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language models — creating intelligent tools and insights that enhance the way teams operate. This is a role with real influence: you’ll own the internal AI stack, mentor other engineers, and help define how AI and automation are adopted across the company. What You’ll Do • Lead the design, architecture, and implementation of internal AI/ML systems for business intelligence., • Build robust APIs, microservices, and data pipelines to power intelligent, data-driven tools., • Develop retrieval-augmented generation (RAG) systems using vector databases for contextual AI., • Set the technical direction for backend and AI integration best practices., • Partner with cross-functional teams to identify and deliver high-value AI applications., • Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring • 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business., • Strong knowledge of LLMs, prompt engineering, and fine-tuning approaches., • Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate)., • Proficiency in Python plus at least one other backend language (TypeScript or Java preferred)., • Proven experience with AWS, containerisation, and infrastructure as code (Terraform, Docker)., • Solid understanding of API design, data modelling, and microservice architecture., • Excellent communication skills, with the ability to translate technical outcomes into business impact. Tech Environment • Languages: Python, TypeScript, Java, • AI/LLM: OpenAI, Anthropic, Retrieval-Augmented Generation (RAG), • Infrastructure: AWS (Lambda, ECS, S3), Terraform, Docker, • Databases: PostgreSQL, MySQL, Redis, vector databases, • DevOps: GitHub, CI/CD pipelines Why Join • Competitive salary and comprehensive benefits package, • 25 days annual leave + bank holidays, • Paid sick leave and parental leave, • Hybrid working with a central London office (bike storage and showers available), • “Work from Abroad” policy (up to 5 days per year), • Pension scheme, • Collaborative, inclusive, and forward-thinking engineering culture, • Strong focus on career development and ownership This role is ideal for a senior backend engineer who enjoys blending AI innovation with large-scale systems engineering, and wants to lead from the front as part of a growing and ambitious product-led company.