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Technical Lead – Lead Tech Strategy for a Profitable FinTech Scale-Up \n Hybrid (London) or remote within the UK \n£Python | Django | FastAPI | AWS | Rust | Postgres | Event-Driven Architecture | Machine Learning \n\n Technical Lead - We're working with a leading fintech scale-up that’s transforming how small businesses access finance. Backed by a strong track record and an ambitious mission, they’re now looking for a Technical Lead to lead the next phase of innovation within one of their most critical product areas. \n\n As Technical Lead, you’ll take ownership of the technical strategy and architecture for dynamic, data-driven systems that determine the financial products offered to new customers. This is a unique chance to define the future of adaptive credit systems, driving smarter, faster and more relevant lending decisions using real-time data and experimentation. \n\n The Technical Lead will work closely with senior leadership across engineering, data, product and design. You’ll also mentor engineers, steer long-term vision and ensure delivery aligns with key business outcomes. \n\n Strong experience in systems architecture and software development (object-oriented languages). \n Proven ability to deliver large-scale technical projects in fast-paced environments. \n Bonus skills include : Python, Django, PostgreSQL, event-driven data systems, machine learning familiarity and frontend awareness. \n\n If you're a Technical Lead looking to combine hands-on technical leadership with real strategic influence in a product-led fintech then please reply with your CV or call Simon for a chat. \n\n Technical Lead – Lead Tech Strategy for a Profitable FinTech Scale-Up \n\n Hybrid (London) or remote within the UK \n£Python | Django | FastAPI | AWS | Rust | Postgres | Event-Driven Architecture | Machine Learning

Fortice supports several NatSec domain suppliers and has various opportunities for Software and Data Engineers across SFIA grades, with demonstrable experience developing and supporting cutting-edge, mission-critical applications. \n\n As you may have felt, there is a drive to return to on-site presence from suppliers in the NS space - we have opportunities that cover both hybrid (3+ days/week) and on-site; You would remain responsible for driving change, code efficiency and enhancing functionality - confidently challenging and driving projects towards the customers' mission. \n\n Java Microservices - Spring boot \n Javascript / React / Node / Typescript \n Python \n C++ / Rust \n AWS \n Agile \n\n Company/Individual Bonus schemes \n#Clearance bonuses \n#Private Healthcare \n#Continuous investment – funding meaningful training, certifications and conference attendance \n\n Equality and Inclusion: \n\n Fortice strongly encourages people of all identities and communities to apply to the roles we advertise, it may well be that you could be more suited to a different opportunity. \n\n Regardless of background, race, religious beliefs or sexual orientation, Fortice exists to enable good people, to do better work with greater outcomes. \n\n\n apply today, or contact me directly for a confidential chat: alex@fortice.

Senior Full-Stack Software Engineer \n-London (3 days a week)\n-An early-stage B2B SaaS company seeks a Lead Software Engineer to join their London based team. The role requires significant experience across Full-stack Engineering in addition to experience leading software engineers. \n\n The company is an AI-first B2B business that transforms the way businesses operate. The team come from some of the UK’s most exciting technology scale-ups and are well placed to execute. \n\n The role requires significant Full-Stack Engineering experience, including the backend, frontend and platform. It will not suit someone who has formally managed teams and not been hands-on. \n\n The stack includes Python, although they would like someone who has worked with multiple languages and has an open mind to finding the best technologies to solve their customers’ problems. \n\n We’re looking for a hands-on Full-Stack Software Engineer who has experience leading teams of engineers within early-stage and scale-up technology companies, ideally in the B2B or SaaS categories. You will have experience in advising on a company’s technical roadmap, including critical decisions around building vs buying technology. Python (incl. FastAPI and/or Django) and other backend languages (Rust, Ruby, Go etc.)\n-Frontend (React, Typescript)\n-Database (design, performance optimisation and for scale)\n-The company requires you to work in their office 3-days a week and cannot offer sponsorship. \n Senior Full-Stack Software Engineer

Principal Engineer – Lead Tech Strategy for a Profitable FinTech Scale-Up Hybrid (London) or remote within the UK £160,000 per annum plus stock options Python | Django | FastAPI | AWS | Rust | Postgres | Event-Driven Architecture | Machine Learning Principal Engineer - We're working with a leading fintech scale-up that’s transforming how small businesses access finance. Backed by a strong track record and an ambitious mission, they’re now looking for a Principal Engineer to lead the next phase of innovation within one of their most critical product areas. This is a strategic leadership role offering exceptional autonomy and influence. You’ll head up the evolution of a high-impact platform responsible for generating personalised credit offers — a core driver of the business’s growth and customer experience. The Opportunity As Principal Engineer, you’ll take ownership of the technical strategy and architecture for dynamic, data-driven systems that determine the financial products offered to new customers. This is a unique chance to define the future of adaptive credit systems, driving smarter, faster and more relevant lending decisions using real-time data and experimentation. The Principal Engineer will work closely with senior leadership across engineering, data, product and design. You’ll also mentor engineers, steer long-term vision and ensure delivery aligns with key business outcomes. What Makes This Role Stand Out? • Strategic Impact: You’ll lead the architectural vision and execution of systems at the heart of a high-growth fintech., • Technical Ownership: Full responsibility for evolving and scaling a domain-critical platform., • Cross-Functional Collaboration: Partner with experienced teams across disciplines to shape solutions from the ground up., • Mission-Driven Environment: Work for a business that’s empowering small businesses and making finance more accessible. What We’re Looking For: • Strong experience in systems architecture and software development (object-oriented languages)., • Proven ability to deliver large-scale technical projects in fast-paced environments., • A business-oriented mindset: you can translate complex problems into scalable, value-driven solutions., • A collaborative leader who has mentored teams and influenced product direction., • Experience working with complex domain models and evolving codebases. Bonus skills include : Python, Django, PostgreSQL, event-driven data systems, machine learning familiarity and frontend awareness. If you're a Principal Engineer looking to combine hands-on technical leadership with real strategic influence in a product-led fintech then please reply with your CV or call Simon for a chat. Principal Engineer – Lead Tech Strategy for a Profitable FinTech Scale-Up Hybrid (London) or remote within the UK £160,000 per annum plus stock options Python | Django | FastAPI | AWS | Rust | Postgres | Event-Driven Architecture | Machine Learning

Software Engineer – Next-Generation Derivatives Risk Platform #128205; Location: London (Hybrid – 1 day/week in office, flexibility for the right candidate)\n#Day Rate: £850 per day \n#Start Date: 5th January 2026\n\n We’re partnering with a global investment bank to hire an exceptional Software Engineer to join a flagship team delivering a next-generation, high-performance derivatives risk platform . \n This is a mission-critical front-office role working on real-time distributed systems with exceptional technical standards. You’ll be part of a high-calibre team solving complex engineering challenges and shaping the future of risk technology across capital markets. \n\n#Core languages: C#, Python, Rust \n Front end: JavaScript / TypeScript/ Angular/ RX JS \n Infrastructure: Kubernetes, containers, DevOps, CI/CD \n WebAssembly, AI integration, and AI frameworks \n This is a genuine technologist’s role — building critical software that combines engineering precision, scalability, and innovation. \n\n Very strong expertise in one of C#, Python or Java , ideally with working knowledge of another. Deep understanding of software architecture, concurrency, performance optimisation , and system reliability . \n Demonstrable front-end engineering experience using JavaScript, TypeScript, Angular or React \n Familiarity with containerisation (Kubernetes, Docker) and modern DevOps practices . \n Experience in front-office risk, trading, or analytics systems within financial markets. \n Exposure to AI and machine learning frameworks (e.g. Interest in AI-driven automation, predictive analytics , and intelligent risk modelling . \n Solid grounding in data pipelines, APIs, and distributed messaging systems (Kafka, ZeroMQ, etc.). \n\n This is a flagship product being rolled out across the bank’s global capital markets division — you’ll have visibility, autonomy, and the chance to shape a platform used by thousands of front-office users. \n\n If you’re a genuine technologist who thrives on solving complex problems, exploring modern architectures, and building next-generation systems that blend AI innovation with real-time financial engineering , this is the opportunity you’ve been waiting for.

Crypto HFT, Core Defi Engineer, Python/Rust, Remote Working Comp up to £250,000 TC \n\n With a huge amount of funding, and having brought in a number of the most impressive leaders from the top HFT firms, they are looking to expand their Core Defi Engineering Team. \n\n This core team work on the build out of a one of a kind central system that serves as the backbone to all of their front office trading systems, you will be working alongside their Quants and Traders using complex Python/Rust for Defi integration, the build out/scaling of their trade booking engine and the development of a number of greenfield data products. \n\n Outstanding object oriented programming in either Python, Rust or Go \n~1 - 8 years of experience working full time within a crypto firm. \n~ A BSc in Computer Science or a similar subject, from a top university. \n\n\n If this role isn't right for you, but you know of someone who might be interested, we have a market-leading referral scheme in place to thank anyone who refers a friend who is successfully placed!

Senior Python Engineer, AI/Blockchain Tech-for-Good platform \n\n If building Tech-for-Good is important to you, you may be interested in this Senior Python Engineer role to build a 1st-of-its-kind AI/Blockchain tracking platform for high-value goods, at a scale-up backed by an industry leader!\n\n\n You'd use cutting edge ML & blockchain tech to provide end to end privacy & security across the value chain, eliminating the long term corruption & threats to human rights. \n\n\n Salary to £80,000 + 20% bonus, 11% pension, PMI, 27 days AL - plus lots more!\n1 day per month in the London office, remote aside from that. \n\n\n You’ll build a unique commodity ID & authentication system to ethically secure goods, using data from major industry players!\n You'll employ cutting edge Cloud tech to ensure sensitive data is secure, private and only visible to those who need it. \n Blockchain: We use Distributed Ledger Technology to create a unique digital ID for each commodity. Strong Python exp (5+years) via web frameworks (FastAPI, Django etc), relational databases (Postgres, MySQL etc), Distributed systems or microservice architecture, Rust (desirable)\n\n\n Get in touch for an informal chat.

Senior Python Engineer, AI/Blockchain Tech-for-Good platform \n\n If building Tech-for-Good is important to you, you may be interested in this Senior Python Engineer role to build a 1st-of-its-kind AI/Blockchain tracking platform for high-value goods, at a scale-up backed by an industry leader!\n\n\n You'd use cutting edge ML & blockchain tech to provide end to end privacy & security across the value chain, eliminating the long term corruption & threats to human rights. \n\n\n Salary to £80,000 + 20% bonus, 11% pension, PMI, 27 days AL - plus lots more!\n1 day per month in the London office, remote aside from that. \n\n\n You’ll build a unique commodity ID & authentication system to ethically secure goods, using data from major industry players!\n You'll employ cutting edge Cloud tech to ensure sensitive data is secure, private and only visible to those who need it. \n Blockchain: We use Distributed Ledger Technology to create a unique digital ID for each commodity. Strong Python exp (5+years) via web frameworks (FastAPI, Django etc), relational databases (Postgres, MySQL etc), Distributed systems or microservice architecture, Rust (desirable)\n\n\n Get in touch for an informal chat.

Crypto HFT, Core Defi Engineer, Python/Rust, Remote Working Comp up to £250,000 TC \n\n With a huge amount of funding, and having brought in a number of the most impressive leaders from the top HFT firms, they are looking to expand their Core Defi Engineering Team. \n\n This core team work on the build out of a one of a kind central system that serves as the backbone to all of their front office trading systems, you will be working alongside their Quants and Traders using complex Python/Rust for Defi integration, the build out/scaling of their trade booking engine and the development of a number of greenfield data products. \n\n Outstanding object oriented programming in either Python, Rust or Go \n~1 - 8 years of experience working full time within a crypto firm. \n~ A BSc in Computer Science or a similar subject, from a top university. \n\n\n If this role isn't right for you, but you know of someone who might be interested, we have a market-leading referral scheme in place to thank anyone who refers a friend who is successfully placed!

#128269; Linux Engineer – Up to £300k-£550k Total Comp | London \n We’re hiring for a Linux Engineer to join the Compute Engineering team at one of the most technically advanced hedge funds and market makers in the world (client name kept confidential). This is a rare opportunity to work on low-level Linux engineering that directly supports global trading and research systems. \n\n This isn’t a typical Linux admin role. You won’t be managing users or installations — you’ll be writing the code that shapes the Linux OS itself , making kernel-level changes, tuning for ultra-low latency, and solving the kinds of problems that get escalated all the way to Red Hat. \n\n What you’ll be doing: \n Writing and maintaining tools and infrastructure around the Linux OS \n Working closely with hardware and trading teams to fine-tune system performance \n Digging deep into memory, CPU, and I/O behavior to uncover and fix bottlenecks \n Automating the build, test, and release of custom Linux images \n Helping shape the future of Linux systems at scale in a highly technical, low-latency environment \n\n What we’re looking for: \n Strong coding skills in Python or Go (bonus points for C++ or Rust)\n~ Experience tuning system performance (kernel parameters, memory, scheduling, etc.)\n~ Knowledge of infrastructure-as-code tools (e.g. Ansible, Terraform, Packer) is a plus \n~ Someone who’s curious, hands-on, and thrives in an engineering-driven culture \n\n\n Why this role stands out: \n You’ll work on genuinely challenging, interesting problems with real-world impact \n The team is highly respected — they submit the most bugs to Red Hat \n You’ll be surrounded by some of the best engineers in the industry

Job Title: Senior Software Engineer (Distributed Systems & ML Infrastructure) Client: Elite Tech Firm Salary: Up to £220k Base + Industry-Leading Bonus Location: London (Hybrid) Sells: Work on next-gen distributed systems and ML infrastructure, take ownership of multiple greenfield builds, zero bureaucracy, a genuinely collaborative culture, stunning offices, and dedicated time for personal projects every Friday! An Elite FinTech firm is expanding its world-class engineering team and looking for exceptional Software Engineers who thrive on solving complex distributed problems at scale. You’ll be joining an elite group of engineers (alumni of NUS / McGill / MIT / Oxford) who have previously built systems at Meta, Twitter, Citadel, Ubisoft, and Jane Street ! This environment offers unlimited tech resources , total engineering autonomy, and a culture that genuinely celebrates innovation and curiosity. Role • Design and build high-performance, distributed systems for large-scale ML infrastructure, • Drive best practices in software architecture, testing, and scalability, • Open to all experience levels, • Proven experience coding in Python, • Strong understanding or interest in distributed systems and ML infrastructure, • Enthusiasm to learn Rust (supported by internal mentorship and training), • Excellent academic background, • Experience in high-stakes, low-latency, mission-critical environments where reliability and performance are non-negotiable

Principal Software Engineer \n Join a once in a career opportunity to help build a premium private bank from the ground up. Which is currently in stealth mode , backed by significant capital and led by a visionary team. With mobilisation underway, were assembling a lean, elite engineering team to architect and deliver a secure, scalable, multi-cloud banking platform using modern technologies. \n\n This is a career-defining role for a polyglot engineer with deep expertise in Rust and Python , and a passion for building robust systems in highly regulated environments. \n\n What Youll Do \n Design and build core banking services and infrastructure using Rust , Python , and other modern languages. \n Develop secure, scalable systems across AWS and GCP , leveraging best practices in cloud-native architecture. \n Collaborate with product, platform, and security teams to ensure compliance with JFC and international regulatory standards. \n Contribute to platform development, including cloud security , observability , and performance optimisation . \n Work autonomously in a high-trust, remote-first environment with minimal oversight. \n Participate in code reviews, architecture discussions, and technical decision-making. \n\n You'll have the following: \n Extensive experience in Rust and Python in production environments. \n Proven track record of building and deploying systems in multi-cloud environments (AWS & GCP). \n Strong understanding of cloud security , infrastructure as code , and platform engineering . \n Comfortable working in regulated industries , ideally financial services or fintech. \n Self-starter mindset, able to thrive in ambiguity and take ownership of complex problems. \n No formal leadership experience required, but must be confident collaborating across disciplines and mentoring peers informally. \n\n We'd love to see! \n Experience with banking platforms , payments , or financial data systems . \n Familiarity with Rust async ecosystem , Kubernetes , Terraform , or Pulumi . \n Exposure FCA or JFSC or similar regulatory bodies. \n\n What's in it for you? \n Be part of a top-heavy engineering team with some of the finest minds in Rust and cloud architecture. \n Work on a greenfield platform with zero legacy constraints. \n Enjoy remote-first flexibility , high autonomy , and meaningful rewards . \n Help shape the future of ultra-premium private banking.

Principal Software Engineer \n Join a once in a career opportunity to help build a premium private bank from the ground up. Which is currently in stealth mode , backed by significant capital and led by a visionary team. With mobilisation underway, were assembling a lean, elite engineering team to architect and deliver a secure, scalable, multi-cloud banking platform using modern technologies. \n\n This is a career-defining role for a polyglot engineer with deep expertise in Rust and Python , and a passion for building robust systems in highly regulated environments. \n\n What Youll Do \n Design and build core banking services and infrastructure using Rust , Python , and other modern languages. \n Develop secure, scalable systems across AWS and GCP , leveraging best practices in cloud-native architecture. \n Collaborate with product, platform, and security teams to ensure compliance with JFC and international regulatory standards. \n Contribute to platform development, including cloud security , observability , and performance optimisation . \n Work autonomously in a high-trust, remote-first environment with minimal oversight. \n Participate in code reviews, architecture discussions, and technical decision-making. \n\n You'll have the following: \n Extensive experience in Rust and Python in production environments. \n Proven track record of building and deploying systems in multi-cloud environments (AWS & GCP). \n Strong understanding of cloud security , infrastructure as code , and platform engineering . \n Comfortable working in regulated industries , ideally financial services or fintech. \n Self-starter mindset, able to thrive in ambiguity and take ownership of complex problems. \n No formal leadership experience required, but must be confident collaborating across disciplines and mentoring peers informally. \n\n We'd love to see! \n Experience with banking platforms , payments , or financial data systems . \n Familiarity with Rust async ecosystem , Kubernetes , Terraform , or Pulumi . \n Exposure FCA or JFSC or similar regulatory bodies. \n\n What's in it for you? \n Be part of a top-heavy engineering team with some of the finest minds in Rust and cloud architecture. \n Work on a greenfield platform with zero legacy constraints. \n Enjoy remote-first flexibility , high autonomy , and meaningful rewards . \n Help shape the future of ultra-premium private banking.

Position: Distinguished Engineer - Intelligent Document Processing (IDP) Location: London (Hybrid) Compensation: Up to 260,000 base | 700,0001,000,000 total package Overview A global AI product company is hiring for a Senior Director of AI, though the scope and expectations align more closely with a Distinguished Engineer . This is not a traditional leadership role overseeing teams who build. This is a hands-on architectural mandate for someone who has built , scaled , and owned core infrastructure for real-time document processing, specifically in high-compliance enterprise environments. This is not a team management or strategy-only role. It is a hands-on architectural mandate focused on production delivery. The platform processes millions of documents across regulated sectors, and is now being re-architected to incorporate agentic frameworks, LLMs, and secure private inference at scale. You will be responsible for designing the technical foundations that enable this: scaling LLM systems, embedding pipelines, orchestration layers, and enterprise-grade reliability across global traffic. Core Requirements Candidates must meet all of the following to be considered: Proven experience building and deploying production-grade LLM platforms, not research or PoC Deep background in intelligent document processing, OCR, or data extraction pipelines Technical leadership in designing retrieval-augmented generation (RAG) or agentic AI frameworks Experience deploying models in latency-sensitive, compliance-heavy environments Strong engineering foundation, Python, Kubernetes, Rust, vector databases, cloud-native deployment Experience building proprietary products Deep experience with LLMs History of building within product companies or platform teams, not consultancies or service firms You will: Lead architectural design of scalable document intelligence systems Build and optimise full LLM pipelines, from ingestion to inference to orchestration Oversee deployment in private cloud / secure infrastructure settings Design systems to operate across regions, industries, and compliance frameworks Collaborate with a 2030 person technical group across ML, backend, and infra engineering Define standards for performance, cost-efficiency, and model governance at scale The role title will be a Senior Director, but the expectation is technical ownership, not delegation. The firm is looking for an engineer with prior experience in building proprietary products, not someone advising those who build. This is a senior engineering appointment with platform-wide responsibility and executive alignment. Compensation reflects that scope.

Position: Distinguished Engineer - Intelligent Document Processing (IDP) Location: London (Hybrid) Compensation: Up to 260,000 base | 700,0001,000,000 total package Overview A global AI product company is hiring for a Senior Director of AI, though the scope and expectations align more closely with a Distinguished Engineer . This is not a traditional leadership role overseeing teams who build. This is a hands-on architectural mandate for someone who has built , scaled , and owned core infrastructure for real-time document processing, specifically in high-compliance enterprise environments. This is not a team management or strategy-only role. It is a hands-on architectural mandate focused on production delivery. The platform processes millions of documents across regulated sectors, and is now being re-architected to incorporate agentic frameworks, LLMs, and secure private inference at scale. You will be responsible for designing the technical foundations that enable this: scaling LLM systems, embedding pipelines, orchestration layers, and enterprise-grade reliability across global traffic. Core Requirements Candidates must meet all of the following to be considered: Proven experience building and deploying production-grade LLM platforms, not research or PoC Deep background in intelligent document processing, OCR, or data extraction pipelines Technical leadership in designing retrieval-augmented generation (RAG) or agentic AI frameworks Experience deploying models in latency-sensitive, compliance-heavy environments Strong engineering foundation, Python, Kubernetes, Rust, vector databases, cloud-native deployment Experience building proprietary products Deep experience with LLMs History of building within product companies or platform teams, not consultancies or service firms You will: Lead architectural design of scalable document intelligence systems Build and optimise full LLM pipelines, from ingestion to inference to orchestration Oversee deployment in private cloud / secure infrastructure settings Design systems to operate across regions, industries, and compliance frameworks Collaborate with a 2030 person technical group across ML, backend, and infra engineering Define standards for performance, cost-efficiency, and model governance at scale The role title will be a Senior Director, but the expectation is technical ownership, not delegation. The firm is looking for an engineer with prior experience in building proprietary products, not someone advising those who build. This is a senior engineering appointment with platform-wide responsibility and executive alignment. Compensation reflects that scope.

We operate an on-call rota around the clock to ensure our global operations run smoothly Team / Role As a Junior Developer (Front Office), you will: Maintain and improve our peripheral applications, as well as user interfaces, with the latest Rust and. When appropriate, design together the required

This role offers the opportunity to both shape the future of the cloud platform and backend components and take on a leadership position within the Platform team.You will be responsible for guiding technical direction, managing stakeholder expectations, and driving the development of platform featu

Position: Distinguished Engineer - Intelligent Document Processing (IDP) Location: London (Hybrid) Compensation: Up to 260,000 base | 700,0001,000,000 total package Overview A global AI product company is hiring for a Senior Director of AI, though the scope and expectations align more closely with a Distinguished Engineer . This is not a traditional leadership role overseeing teams who build. This is a hands-on architectural mandate for someone who has built , scaled , and owned core infrastructure for real-time document processing, specifically in high-compliance enterprise environments. This is not a team management or strategy-only role. It is a hands-on architectural mandate focused on production delivery. The platform processes millions of documents across regulated sectors, and is now being re-architected to incorporate agentic frameworks, LLMs, and secure private inference at scale. You will be responsible for designing the technical foundations that enable this: scaling LLM systems, embedding pipelines, orchestration layers, and enterprise-grade reliability across global traffic. Core Requirements Candidates must meet all of the following to be considered: Proven experience building and deploying production-grade LLM platforms, not research or PoC Deep background in intelligent document processing, OCR, or data extraction pipelines Technical leadership in designing retrieval-augmented generation (RAG) or agentic AI frameworks Experience deploying models in latency-sensitive, compliance-heavy environments Strong engineering foundation, Python, Kubernetes, Rust, vector databases, cloud-native deployment Experience building proprietary products Deep experience with LLMs History of building within product companies or platform teams, not consultancies or service firms You will: Lead architectural design of scalable document intelligence systems Build and optimise full LLM pipelines, from ingestion to inference to orchestration Oversee deployment in private cloud / secure infrastructure settings Design systems to operate across regions, industries, and compliance frameworks Collaborate with a 2030 person technical group across ML, backend, and infra engineering Define standards for performance, cost-efficiency, and model governance at scale The role title will be a Senior Director, but the expectation is technical ownership, not delegation. The firm is looking for an engineer with prior experience in building proprietary products, not someone advising those who build. This is a senior engineering appointment with platform-wide responsibility and executive alignment. Compensation reflects that scope.

Required Qualifications ~ Bachelor’s or Master’s degree in Computer Engineering , Electrical Engineering , Physics , or a related field. Senior C++ Software Engineer Salary: £100,000 – £135,000 Key Responsibilities Design, develop, and optimize software in C++ and/or Rust for

Implement and optimise services in a systems language (Rust, C++, Go or similar). Who we’re looking for - Strong programming experience in a systems or backend language (Rust, C++, Go, Java, Python).

You'll be: - Building scalable, low-latency LLM inference infrastructure - Optimising performance with caching, quantisation, and speculative decoding - Contributing to core systems in Rust (we are happy for individuals to lean this on the job) - Designing distributed GPU orchestration and inferenc

Role: Staff Software Engineer (Rust & AI Inference) Location: London (2–3 days a week onsite) Compensation: Up to £160,000 + equity We’re supporting an emerging deep tech company building high-performance infrastructure to support AI model deployment at scale.They’re focused on enabling en

You'll be: - Building scalable, low-latency LLM inference infrastructure - Optimising performance with caching, quantisation, and speculative decoding - Contributing to core systems in Rust (we are happy for individuals to lean this on the job) - Designing distributed GPU orchestration and inferenc

Responsibilities: - Enhance their low-latency trading infrastructure - Optimise core engine performance and network infrastructure - Develop new features focused on transaction efficiency and advanced trading systems Skills: - Proficient in Rust (or low-latency C++, looking for Rust exposure) - E

Job Description Principal Engineer – Lead Tech Strategy for a Profitable FinTech Scale-Up Hybrid (London) or remote within the UK £160,000 per annum plus stock options Python | Django | FastAPI | AWS | Rust | Postgres | Event-Driven Architecture | Machine Learning Principal Engineer - We're

We’re working with an early-stage technology company building foundational software for complex, real-world systems.This is a hands-on engineering role with high ownership — you’ll design, build and deploy core components that power mission-critical applications across a range of operational e

Senior C++ Software Engineer Salary: 100,000 135,000 Key Responsibilities Design, develop, and optimize software in C++ and/or Rust for control and orchestration systems. Build low-latency interfaces between hardware and classical compute systems. Collaborate with hardware teams to integrate software with FPGAs and high-speed digital electronics. Develop and maintain firmware and drivers for custom hardware platforms. Analyze and optimize system performance including latency, throughput, and resource utilization. Participate in system architecture design and technical decision-making. Conduct code reviews , mentor junior engineers, and promote software best practices. Work with cross-functional teams to ensure seamless integration of hardware and software components for robust, production-ready systems. Ensure system reliability , fault tolerance , and performance in data centre environments. Required Qualifications ~ Bachelors or Masters degree in Computer Engineering , Electrical Engineering , Physics , or a related field. ~5+ years of professional experience in software development, with a focus on C++ and/or Rust . ~ Strong understanding of FPGA architectures , toolchains (e.g., Xilinx Vivado, Intel Quartus), and hardware description languages ( VHDL/Verilog ). ~ Experience with high-speed data centre and GPU interfaces (e.g., PCIe, Ethernet, Infiniband).

Coding interview in Rust or C++. Expert knowledge of either Rust or C++.

Kafka, APIs etc) to our warehouse (BigQuery) while supporting the toolset for data contract definition and maintenance.

Protocol Development: Design and implement blockchain protocols and experimental features using Rust. By integrating advanced cryptographic protocols, the platform allows users to issue, transfer, and track digital assets, such as tokens or digital currencies, with a focus on scalability and efficie

Experience with or interest in Go or Rust.

Principle Rust Engineer (External). Principle Rust Engineer (External). As a Staff or Principal Rust Engineer, work closely with other engineers across the stack to productize the binary field proof system.

We are building a trusted, open ecosystem that enables the secure and private exchange of data and services across global markets. We are seeking a highly accomplished and solution-oriented Staff Software Engineer with deep, demonstrable expertise in Rust. Design, implement, and deliver high-quality

Fluency in Solana Rust smart contracts with proven experience and projects.

Solutions are built in Rust and Python (with Django/FastAPI web frameworks). Build out performance-critical systems written in Rust, and contribute efficient, testable and maintainable code to our Python codebase with performance and observability in mind. We mostly use Rust and Python, but we are k

Blockchain + Full Stack Engineer (RUST). Blockchain + Full Stack Engineer (RUST). Fluency in Solana Rust smart contracts with proven experience and projects.

Role: Staff Software Engineer (Rust & AI Inference) Location: London (23 days a week onsite) Compensation: Up to 160,000 + equity Were supporting an emerging deep tech company building high-performance infrastructure to support AI model deployment at scale. Theyre focused on enabling enterprises to run advanced AI systems in production, with a strong emphasis on privacy, performance, and full-stack control. This is a hands-on senior IC role for an engineer who thrives in low-latency, compute-intensive environments, and enjoys mentoring others. Youll play a key role in shaping the core inference layer powering complex real-time AI workflows. If you're excited by the challenge of optimising distributed systems, designing for reliability, and scaling cutting-edge AI applications, this could be the role for you. You'll be: Building scalable, low-latency LLM inference infrastructure Optimising performance with caching, quantisation, and speculative decoding Contributing to core systems in Rust (we are happy for individuals to lean this on the job) Designing distributed GPU orchestration and inference servers Mentoring engineers and influencing technical direction across the team You should bring: ~5+ years software engineering experience, with deep backend/system-level experience ~ Strong coding skills in a typed systems languages like C++ / Go / Rust (would also consider Python) ~ Familiarity with Kubernetes, and cloud infra ~ A strong engineering mindset with a bias for clean abstractions, reliability, and performance Bonus points for: Experience deploying open-source LLMs or VLMs in production Experience with ML inference systems, PyTorch, Triton, or CUDA kernels Background in document intelligence, enterprise search, or NLP pipelines Prior exposure to multi-agent systems or complex orchestration workflows This is a high-impact, high-autonomy role in a technically elite team thats pushing the boundaries of whats possible in AI infrastructure.

Senior C++ Software Engineer Salary: 100,000 135,000 Key Responsibilities Design, develop, and optimize software in C++ and/or Rust for control and orchestration systems. Build low-latency interfaces between hardware and classical compute systems. Collaborate with hardware teams to integrate software with FPGAs and high-speed digital electronics. Develop and maintain firmware and drivers for custom hardware platforms. Analyze and optimize system performance including latency, throughput, and resource utilization. Participate in system architecture design and technical decision-making. Conduct code reviews , mentor junior engineers, and promote software best practices. Work with cross-functional teams to ensure seamless integration of hardware and software components for robust, production-ready systems. Ensure system reliability , fault tolerance , and performance in data centre environments. Required Qualifications ~ Bachelors or Masters degree in Computer Engineering , Electrical Engineering , Physics , or a related field. ~5+ years of professional experience in software development, with a focus on C++ and/or Rust . ~ Strong understanding of FPGA architectures , toolchains (e.g., Xilinx Vivado, Intel Quartus), and hardware description languages ( VHDL/Verilog ). ~ Experience with high-speed data centre and GPU interfaces (e.g., PCIe, Ethernet, Infiniband).

Role: Quantitative Developer (Front-Office, Risk Technology) Location: London Hedge Fund A major multi-strat is looking to add a Quantitative Developer for its Front Office Risk Technology team in London. Youll be at the core of the firms risk management operations, building and enhancing the systems that provide real-time market risk, liquidity, and P&L analytics. This position involves direct partnership with portfolio managers, quant researchers, and the Chief Risk Officer to develop a sophisticated risk platform that drives capital allocation across a diverse range of global strategies. Develop high-throughput data pipelines for market, trade, and reference data, with a focus on achieving sub-second latency. Create intuitive, web-based dashboards for portfolio managers and risk officers to analyze exposures during live market events. Collaborate with the Quantitative and Risk teams to productionize new models, ensuring best practices in testing and code review. Contribute to DevOps automation, including CI/CD, containerization, and observability, to ensure the 24x6 resilience of the platform. 3-10 years of experience building production systems in a front-office trading, hedge fund, or high-growth tech environment. ~ Python skills for numerical computing, along with strong data engineering fundamentals. Experience with C++ or Rust is welcomed. ~ Familiarity with risk concepts such as VaR, sensitivities, and margin, as well as an understanding of market microstructure. ~ Compensation:

Role: Quantitative Developer (Front-Office, Risk Technology) Location: London Hedge Fund A major multi-strat is looking to add a Quantitative Developer for its Front Office Risk Technology team in London. Youll be at the core of the firms risk management operations, building and enhancing the systems that provide real-time market risk, liquidity, and P&L analytics. This position involves direct partnership with portfolio managers, quant researchers, and the Chief Risk Officer to develop a sophisticated risk platform that drives capital allocation across a diverse range of global strategies. Develop high-throughput data pipelines for market, trade, and reference data, with a focus on achieving sub-second latency. Create intuitive, web-based dashboards for portfolio managers and risk officers to analyze exposures during live market events. Collaborate with the Quantitative and Risk teams to productionize new models, ensuring best practices in testing and code review. Contribute to DevOps automation, including CI/CD, containerization, and observability, to ensure the 24x6 resilience of the platform. 3-10 years of experience building production systems in a front-office trading, hedge fund, or high-growth tech environment. ~ Python skills for numerical computing, along with strong data engineering fundamentals. Experience with C++ or Rust is welcomed. ~ Familiarity with risk concepts such as VaR, sensitivities, and margin, as well as an understanding of market microstructure. ~ Compensation:

Role: Quantitative Developer (Front-Office, Risk Technology) Location: London Hedge Fund A major multi-strat is looking to add a Quantitative Developer for its Front Office Risk Technology team in London. Youll be at the core of the firms risk management operations, building and enhancing the systems that provide real-time market risk, liquidity, and P&L analytics. This position involves direct partnership with portfolio managers, quant researchers, and the Chief Risk Officer to develop a sophisticated risk platform that drives capital allocation across a diverse range of global strategies. Develop high-throughput data pipelines for market, trade, and reference data, with a focus on achieving sub-second latency. Create intuitive, web-based dashboards for portfolio managers and risk officers to analyze exposures during live market events. Collaborate with the Quantitative and Risk teams to productionize new models, ensuring best practices in testing and code review. Contribute to DevOps automation, including CI/CD, containerization, and observability, to ensure the 24x6 resilience of the platform. 3-10 years of experience building production systems in a front-office trading, hedge fund, or high-growth tech environment. ~ Python skills for numerical computing, along with strong data engineering fundamentals. Experience with C++ or Rust is welcomed. ~ Familiarity with risk concepts such as VaR, sensitivities, and margin, as well as an understanding of market microstructure. ~ Compensation:

Role: Staff Software Engineer (Rust & AI Inference) Location: London (23 days a week onsite) Compensation: Up to 160,000 + equity Were supporting an emerging deep tech company building high-performance infrastructure to support AI model deployment at scale. Theyre focused on enabling enterprises to run advanced AI systems in production, with a strong emphasis on privacy, performance, and full-stack control. This is a hands-on senior IC role for an engineer who thrives in low-latency, compute-intensive environments, and enjoys mentoring others. Youll play a key role in shaping the core inference layer powering complex real-time AI workflows. If you're excited by the challenge of optimising distributed systems, designing for reliability, and scaling cutting-edge AI applications, this could be the role for you. You'll be: Building scalable, low-latency LLM inference infrastructure Optimising performance with caching, quantisation, and speculative decoding Contributing to core systems in Rust (we are happy for individuals to lean this on the job) Designing distributed GPU orchestration and inference servers Mentoring engineers and influencing technical direction across the team You should bring: ~5+ years software engineering experience, with deep backend/system-level experience ~ Strong coding skills in a typed systems languages like C++ / Go / Rust (would also consider Python) ~ Familiarity with Kubernetes, and cloud infra ~ A strong engineering mindset with a bias for clean abstractions, reliability, and performance Bonus points for: Experience deploying open-source LLMs or VLMs in production Experience with ML inference systems, PyTorch, Triton, or CUDA kernels Background in document intelligence, enterprise search, or NLP pipelines Prior exposure to multi-agent systems or complex orchestration workflows This is a high-impact, high-autonomy role in a technically elite team thats pushing the boundaries of whats possible in AI infrastructure.

Professional experience with at least one of Rust or Elixir.

Our new platform is a fully modular Rust monolith, built with Actix-Web, leveraging Rust’s performance and safety guarantees. NET into Rust while simultaneously developing new features and integrations that expand the capabilities of our next-generation system. Engineering standards: creation and

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. We also want to ensure that Ubuntu is the very best platform for Rust development, offering easy access to the widest range of tooling and capabilities that support cutting

Develop and implement quantitative models using C++ and Rust. Strong proficiency in C++ and/or Rust.

Experience with or interest in Go or Rust.

We are seeking a high-performing Rust Engineer to help lead our brand-new Rust project. Creating new features and improving the robustness, performance and resilience of the existing Rust codebase. Proven commercial experience developing with Rust.