Founding Machine Learning Engineer

4 weeks ago

London, UK, United Kingdom Fractal Full time

The Opportunity

This is a high-reward position for an unyieldingly determined individual passionate about leading the forefront of the Intelligence Age, enabling human organisations to work with increasingly complex systems of agents.


Our Founders have built, scaled, and exited tech companies including an IPO and, most recently, a $100m sale in 2021. You will join our Founding Team, owning equity in the business, and valued as an owner, from Day 1.


We value high-agency, high-clock rate, and high-tenacity.


Is this you? Does the prospect of pioneering human-agentic systems excite you? We’d like to hear from you.


About Fractal

Fractal is creating the first ‘Human x Agentic Orchestration Layer’. This layer sits across both human and agent intelligence, passing work from human to machine (model, agent, tool), and back again. 92% of Fortune 500 companies use GPTs, but there has been a less than 1% shift in holistic company output. Simply put, AI is only being called at the task-level. The solution is a new system for work, human-agentic systems.


Our core product, Fractal, is a platform that enables companies to build, manage, and scale human-agentic teams through graph-based workflow maps, delegating specific nodes to the right human or machine, at the right time. Our mission? To enable any business in the world to punch above their weight and scale independent of headcount.


About the Role

As part of the Founding Team, you'll be at the forefront of defining how AI orchestration works at scale.


You will co-lead and propel our Machine Learning team to define how Human x AI orchestration works at scale. Working in tandem with our CTO, you will develop and integrate sophisticated orchestration systems that intelligently coordinate between a multitude of AI models, emerging tooling, and human workers. NLP and agent orchestration are key to this role. You will be expected to take ownership and initiative to push Fractal as far as possible, enabling our team to lead and win a new $1.5Trillion market.


You will have the opportunity to learn new technologies and apply them in a fast-paced environment, seeing the direct impact of your work in the product rapidly. From experimentation to deployment, you'll be part of a cycle where your contributions quickly translate into real-world applications, helping shape the future of our product.


As part of the Founding Team, you'll have unprecedented influence in shaping our IP and a front row seat to what we view as the most exciting problem of our time: creating the systems that powerfully integrate an exponentially smarter alien intelligence into the lives of every company in the world.


Your Responsibilities

  • Pioneer the development and implementation of AI agents for autonomous task execution within our orchestration platform
  • Design and implement sophisticated systems for intelligent task planning, delegation, and coordination between AI agents and human workers
  • Architect and build scalable, production-ready systems in cloud environments (AWS), with a focus on performance, reliability, and cost optimisation
  • Develop and implement complex workflows for task routing and execution across multiple AI models and human operators
  • Create robust monitoring and evaluation systems to track agent performance and workflow efficiency
  • Integrate various AI models and tools into our orchestration layer, ensuring seamless interoperability
  • Work with relational, non-relational, and graph databases to manage and process data efficiently
  • Drive technical initiatives independently, from problem identification through solution implementation
  • Contribute to the development of our core orchestration engine and its underlying architecture
  • Self-manage complex projects while maintaining clear communication with stakeholders


Required Experience

Your experience will match well with the following. We are not box tickers. Above all, we value drive, work rate, and tenacity.


Education and Qualifications

  • Master's/PhD degree in Computer Science, Machine Learning, Data Science, or a related field


Technical Skills and Experience:

  • 5+ years of professional machine learning experience or applied research in a related field
  • Strong foundation in data structures, algorithms, and software engineering principles
  • Demonstrated experience with LLM frameworks and agent building architectures
  • Familiarity with prompt engineering and LLM optimisation techniques
  • Proven track record of building and deploying production-ready ML systems
  • Strong programming skills in Python and experience with modern ML frameworks
  • Experience with distributed systems and microservices architecture
  • Excellent problem-solving skills and ability to work in ambiguous, fast-paced environments
  • Strong critical thinking skills with the ability to effectively evaluate and critique technical solutions
  • Strong communication skills and ability to collaborate effectively with cross-functional teams


Strong Candidates May Also Have

  • Experience with orchestration systems or workflow management platforms
  • Strong knowledge of cloud architecture principles and best practices (particularly AWS)
  • Proficiency in deep learning frameworks like PyTorch or TensorFlow
  • Experience with end-to-end LLM training and fine-tuning
  • Experience with real-time systems and event-driven architectures
  • Knowledge of AI safety and alignment principles
  • Background in reinforcement learning or multi-agent systems
  • Experience with graph databases and knowledge graphs
  • Contributions to open-source projects or research publications in relevant fields


You don’t need 100% of the above experience to be a good match


What We Offer

With equity, you will be treated and compensated like an owner from day one.

  • 6-Figure salary, flexible to your experience + Equity. You should want to be an owner more than you want to be an employee.
  • Opportunity to shape the future of AI orchestration as an early team member
  • Direct impact on product development and company direction
  • Work with cutting-edge AI technologies and solve novel technical challenges
  • Competitive compensation package including equity
  • Flexible work arrangements, with the ability to meet in London. Our office is by Old St.
  • Continuous learning and development opportunities
  • Work directly alongside the Founders and influence company strategy
  • Chance to be a Founding Team member and shape the future of work.


Process

We run a 4-step process:

  1. Initial GMeets call with Co-Founder: we want to understand more about your background and motivations
  2. In-depth GMeets with CTO: we want to understand your skill set and previous experience
  3. Task with CSO: we want to see how you take ownership and approach problems
  4. Final interview with CEO & CSO: we want to understand cultural fit and how you slot into our team.

  • Senior Machine Learning Engineer

    2 weeks ago

    London,, UK, United Kingdom Stealth AI Startup Full time

    Machine Learning Engineer (LLM) – Founding Team MemberLocation: London (Hybrid)Salary: Six-figure + EquityThe OpportunityJoin a stealth-mode startup redefining AI orchestration with a revolutionary Agentic platform, creating seamless workflows between human and AI agents. Backed by successful founders with a proven track record, this role is your chance to...

  • Founding Engineer

    2 weeks ago

    London,, UK, United Kingdom Pinepeak Full time

    Are you passionate about climate solutions and ready to lead the development of next-generation wildfire prediction technology in a venture-backed startup?About us: We are an early-stage spinout from the University of Cambridge with the mission to solve the problem of wildfires and enhance community climate resilience. We have created a cost-effective,...

  • Machine Learning Engineer

    3 months ago

    London,, UK, United Kingdom Harnham Full time

    MACHINE LEARNING ENGINEER£75,000HYBRID - London COMPANY:We are looking for a Machine Learning Engineer to join a leading Marketing Consultancy.They are looking to grow to be an even bigger player within the industry through Data scientists/Engineering and Machine Learning Ops' best practices. You will be working on Recommendation Systems and Deploying...

  • Machine Learning Engineer

    4 weeks ago

    London,, UK, United Kingdom Eden Smith Group Full time

    Are you a Machine Learning Engineer looking to make an impact with cutting-edge AI solutions that will disrupt the legal industry? We’re on the hunt for a skilled professional to join our team and drive machine learning projects that harness the power of Azure technologies. Role Highlights:As a Machine Learning Engineer, you’ll work at the forefront of...

  • Founding Cybersecurity Engineer

    4 weeks ago

    London,, UK, United Kingdom Generative Full time

    Founding Cybersecurity Engineer Our client, a pioneering company in the cybersecurity sector, is looking for a Founding Cybersecurity Engineer to join their dynamic team. This is a rare opportunity to be a key player in a groundbreaking startup that harnesses cutting-edge AI models to build advanced security solutions for OT (Operational Technology) and IT...

  • Machine Learning Engineer

    4 weeks ago

    London, UK, UK, United Kingdom MRJ Recruitment Full time

    Machine Learning Engineer – Join a Growing SaaS & Data Pioneer in London!Location: LondonSalary: Up to £85,000Are you an experienced Machine Learning Engineer ready to make an impact in a high-growth environment? We’re working exclusively with an innovative SaaS and data brand that’s making waves in the industry – and they’re looking for talent...

  • Machine Learning Engineer

    4 weeks ago

    London, UK, United Kingdom G-Research Full time

    Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where...

  • Senior Machine Learning Engineer

    2 months ago

    London,, UK, United Kingdom Amberes Full time

    Machine Learning Engineer Future AI Unicorn - backed by the best name in AIOffice (x4 days in): This position will be based at the Client’s HQ in Central London, 4 days per-week in office and can offer full sponsorship visas & international relocation support as a UK AI Futures partner).Amberes has partnered with an exciting Seed Funded AI start up, who...

  • Principal Machine Learning Engineer

    17 hours ago

    London, UK, United Kingdom SAGE GROUP PLC Full time

    Sage AI is a nimble team within Sage, building innovative services and solutions using generative AI and machine learning to turbocharge our users productivity. The Sage AI team builds capabilities to help businesses make better decisions through data-powered automation and insights.We are currently hiring a Principal Machine Learning Engineer to help us...

  • Machine Learning Engineer

    2 months ago

    London,, UK, United Kingdom Neuphonic Full time

    CompanyNeuphonic is building ultra low latency text-to-speech systems to create the most natural, responsive conversations with AI possible. We’re backed by some of the best VCs in Europe and the US and are revolutionising AI interaction by redefining what it means to have a voice. We’re creating a future where engaging with AI feels intuitive and...

  • Staff Machine Learning Engineer

    5 days ago

    London,, UK, United Kingdom Harnham Full time

    Staff Machine Learning EngineerUp to £150,000London (Hybrid/Remote) Company:This global entertainment company a working on delivering impactful insights to build an increasingly dynamic and interactive experience where you will utilise groundbreaking ML, AI and Computer Vision technologies, tools and processes, as you help to advance their technical...

  • Senior Machine Learning Engineer

    4 weeks ago

    London,, UK, United Kingdom Synapri Full time

    Sector: Public SectorJob Title: Senior ML EngineerType: ContractHybrid Working: 2 days (London office)Location: LondonDuration: 12 monthsClearance: BPSS checkedJob DescriptionProven experience as a machine learning engineer, data scientist, or a similar role.A comprehensive grasp of machine learning methodologies and principles, encompassing supervised and...

  • Founding Engineer

    3 months ago

    London,, UK, United Kingdom Cofide Security Full time

    About CofideCofide is an early-stage startup focused on workload identity and access management (IAM) for multi and hybrid-cloud environments. We're building on open standards, including OAuth, SPIFFE et al. Based in the UK, we are currently in stealth mode and are actively seeking a strong founding engineering team to help shape the future of identity...

  • Senior Machine Learning Engineer

    4 weeks ago

    London,, UK, United Kingdom Harnham Full time

    SENIOR MACHINE LEARNING ENGINEER - Legal SpaceHYBRID - 3 Days a week in central London officeUp to £100,000COMPANY:We are working with a leadingcompany in the legal space who are investing heavily in the AI/ML space. They are looking for a new ML Engineer to join the team and work closely with the existing Data Science team to help deploy models into...

  • Machine Learning Engineer

    2 months ago

    London,, UK, United Kingdom Harnham Full time

    Machine Learning EngineerUp to £80,000London (Hybrid, 2 days onsite per week)Company:This AI R&D start-up are utilising the latest advancements in data science, developing AI solutions for the Residential Real Estate industry.Responsibilities:Collaborate closely with product and machine learning teams to streamline deployment processes, automate tasks, and...

  • Machine Learning Engineer

    16 hours ago

    London,, UK, United Kingdom Hlx Life Sciences Full time

    About the RoleJoin our leading-edge machine learning team as a Research Engineer, and play a pivotal role in pioneering machine learning solutions for genetic data interpretation. Our team is a technically proficient Research Engineering team who can handle high computational complexity. This role requires significant expertise in model optimization,...

  • Principal Machine Learning Engineer

    5 days ago

    London,, UK, United Kingdom Harnham Full time

    PRINCIPAL MACHINE LEARNING ENGINEER - Leading entertainment orgHYBRID - LondonUp to £175,000 + Strong Bonus/PensionWe have been a long-term partner of this household name within the Interactive Entertainment space. They are looking to bring in a new Staff Machine Learning Engineer to drive the technical capabilities of the team.You will be working end to...

  • Staff Machine Learning Engineer

    2 weeks ago

    London,, UK, United Kingdom Harnham Full time

    STAFF MACHINE LEARNING ENGINEER - Leading entertainment orgHYBRID - LondonUp to £175,000 + Strong Bonus/PensionWe have been a long-term partner of this household name within the Interactive Entertainment space. They are looking to bring in a new Staff Machine Learning Engineer to drive the technical capabilities of the team.You will be working end to end on...

  • Machine Learning Engineer

    2 months ago

    London,, UK, United Kingdom Harnham Full time

    MLOps EngineerUp to £95,000London (Hybrid, 2 days onsite per week) Company:This start-up ate utilising the latest advancements in computer vision technology and making it accessible to businesses of all sizes within the retail space. Responsibilities: Collaborate closely with product and machine learning teams to streamline deployment processes, automate...

  • Lead Machine Learning Engineer

    3 months ago

    London,, UK, United Kingdom Think IT Resources Full time

    My Client are looking for a lead machine learning engineer, someone who had experience leading a team working a lot with AI and machine learning. The job is very remote with once a month visit to the office in London, it is paying a great salary with a bonus and package on top., What's the jobLead the implementation of data science projects and data...