National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Software Engineer - Machine Learning

Raft
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer

Senior Software Engineer

Senior Software Engineer

Senior Software Engineer C# - Near Edinburgh Hybrid

Senior Software Engineer (Rust)

Senior Software Engineer | ML Infrastructure

Raft, an intelligent logistics platform, is revolutionising the freight and customs industry through automation and advanced technologies. As a fast-scaling, UK-based tech company with global reach, we're pioneering solutions that empower freight forwarders and customs brokers to operate at new levels of efficiency and precision. Fueled by our Series B funding from renowned investors, we're poised for major growth and innovation.

As a Senior Engineer with a focus on all things AI at Raft, you'll be instrumental in shaping the architecture and capabilities of our platform to support features at the cutting-edge powered by AI. This is not a traditional engineering role - it's a high-impact opportunity to work with the cutting edge of AI and agents in a real product setting. You will be responsible for designing scalable and innovative AI solutions and making them work at an enterprise scale. This role is also unique since you will get exposure to our current platform and customers alongside being involved in an exciting greenfield project, where you will be able to build an AI native product from scratch.

In addition to building advanced software, you'll play a strategic role in driving technical decision-making and mentoring our growing engineering team. This role is for someone who thrives in a fast-paced, ambitious environment and is ready to make an outsized impact on a product used across the globe.

What You'll Do:

  • Design and implement AI-powered features using LLMs, MCP and other advanced technologies
  • Create robust, scalable, and maintainable code that adheres to engineering best practices
  • Develop agentic AI systems that can autonomously perform complex tasks and bring humans in the loop at the right time. This will involve thinking about and building systems that balance automation with control.
  • Integrate LLM and AI models into the Raft platform to power new, innovative features at the cutting edge of enterprise-grade AI.
  • Work with our existing tech stack and make improvements across our existing models, code and architecture.
  • Drive the evolution of platform features that require complex engineering solutions powered by AI/ML. Be an evangelist for modern AI and the art of the possible within our teams.
  • Implement rigorous testing methodologies for AI systems, including modern evals.
  • Collaborate with product managers, UX designers, and customers to understand pain points and translate them into effective technical solutions
  • Mentor junior engineers and foster a culture of innovation and continuous learning
  • Stay current with the rapidly evolving AI landscape and recommend strategic technology adoption

Requirements

  • Brings 5+ years of hands-on experience in software development with a strong focus on Python, supplemented by experience in other programming languages.
  • Proven experience designing and implementing solutions with LLMs like GPT-4, Claude, or open-source models
  • Experience with prompt engineering and LLM fine-tuning techniques
  • Experience building production-ready AI systems that scale reliably in enterprise environments
  • Has deep expertise in designing and maintaining databases, vector stores, etc. and understands the latest trends in database technology, particularly relevant to LLM and AI applications.
  • Is proficient with FastAPI/Starlette and can demonstrate experience in building scalable APIs with Python for AI/ML applications.
  • Has a solid track record in cloud native environments and understands how to architect and implement software libraries that thrive in distributed, multi-cloud settings.
  • Can design and implement a sophisticated logging, monitoring, and alerting infrastructure to ensure high availability and quick troubleshooting of AI/ML systems.
  • Understands and implements best practices in security and data privacy, with a proven ability to secure complex data flows, particularly for LLM/AI applications.
  • Has extensive experience with containerised tools like Docker, Docker Compose, Kubernetes, Helm, and understands the intricacies of deploying these in production, specifically for LLM/AI workloads.
  • Some experience with agentic AI architectures and multi-agent systems is beneficial.
  • Demonstrated ability to balance technical excellence with business requirements and time constraints

Apply Because You Want to...

  • Join a company on the leading edge of logistics technology, competing with industry giants while leveraging cutting-edge AI/ML and backend engineering.
  • Work in a product-driven environment where your contributions shape real-world solutions for a global customer base.
  • Collaborate with stakeholders across industries and continents, gaining unparalleled exposure to the logistics and automation sectors.
  • Thrive in a high-energy, growth-focused environment that pushes you to expand your technical and strategic skill sets.
  • Be part of a diverse, inclusive, and multi-cultural team where innovation and continuous improvement are celebrated.


#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.