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You’re a senior engineer who gets restless when your work feels abstract. You want to see your code in the real world, nudging health outcomes, not just engagement metrics. You’re happiest when you own problems end-to-end, from fuzzy product idea to shipped feature, and you don’t need a 20-page spec to get moving. You care about system design and code quality, but you care just as much about whether what you’re building actually helps people. You’re product-minded: you ask “what problem are we solving for the patient?” before you ask “what stack are we using?”. You’re comfortable in TypeScript and at home in React / React Native / Node (or similar), and you like working across the stack rather than being boxed into a narrow layer. You enjoy fast feedback loops, shipping in days, not weeks, and iterating based on data and real-world usage. You’re AI‑curious (or AI‑obsessed), already using LLMs in your workflow, and itching to push them deeper into the product itself. You thrive in senior, flat teams where responsibility is the default, not the reward. You’re comfortable making decisions with imperfect information, debating trade-offs with peers, and owning production systems when it really matters. You don’t want to just advise; you want to build. If that sounds like you, there’s a London‑based healthtech scale‑up you’ll probably love. They’re building a single React Native/TypeScript platform that powers GLP‑1 weight loss journeys across the UK and US markets, aiming to reduce the burden of obesity, diabetes, and cardiovascular disease at scale. You’d lead complex feature work on a high-traffic app, integrate AI/LLM capabilities (including conversational experiences) to support behaviour change alongside medication, and help shape the engineering culture in a senior-heavy, high-agency team. FAQ's Salary: Up to £130 000 Location: 4 days a week in a Warren Street office If you’re a senior engineer who wants to ship serious software with real-world health impact, drop me an email () with “Tipping The Scales” in the subject line. Include your CV if you have it ready or just your LinkedIn profile and a couple of lines that you wrote yourself as to why you think this could be your next role. All applications received as above will be reviewed by a human (me) and will get feedback. LinkedIn applications may not all be reviewed due to volume and lack of relevance.

Staff Machine Learning Engineer – | 3 Roles | London Hybrid – (2 days) I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference is your specialism. ────────────────────────── 𝟭. Staff SE – Agentic AI Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 𝟮. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 𝟯. Staff SE – MLOps / DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across the full AI stack. ▸ MLFlow · Databricks · Datadog · Terraform ────────────────────────── What all three roles require: • 7+ years in AI/ML engineering, shipping models in production, • 3+ years in a Staff-level or senior technical leadership role, • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI, • Strong Python; Java or Rust a bonus, • Experience with LLMs, evaluation frameworks, and agentic AI patterns, • Docker, K8s, Terraform, CI/CD, • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── London hybrid (2 days/week) Competitive Salary and benefits Not eligible for visa sponsorship ────────────────────────── Interested? Please apply, or know someone who might be? Drop me a DM

Senior Full Stack Engineer | Python | React | London | £100,000-£150,000 Location: London (hybrid) Salary: £100k to £150k + equity Most AI companies obsess over models. This team is going after the harder, more interesting problem, making AI actually work in the real world. They’re building the systems around AI that businesses can rely on day to day. Software that sits right inside customer operations, handling huge volumes of data, plugging into external systems, and powering workflows that can’t afford to break. That means solving for reliability, scale, and predictability, not just clever demos. The team is small, ambitious, and moves fast. Engineers are close to users, ship constantly, and own what they build end to end. If you like the idea of building AI that actually matters in production, not just in theory, this is that kind of environment. Tech stack • Python (FastAPI / Flask / Django), • React and TypeScript, • AWS / GCP, • Infrastructure as code and modern deployment tooling What engineers work on • Designing and evolving backend services and APIs that power the platform, • Building user facing interfaces used by customers and internal teams, • Integrating external services and AI capabilities into production workflows, • Investigating production incidents and improving system robustness, • Working closely with product and operations to understand real customer problems, • Contributing to system design and engineering practices as the platform grows What tends to work well here • Engineers who enjoy building and shipping real products, • Strong problem solving instincts and pragmatic system design, • Comfort owning features end to end from design through deployment, • Experience building production systems with Python and modern web technologies, • Curiosity across the stack, even if your experience leans backend or frontend, • An interest in solving practical problems rather than chasing theoretical perfection, • The culture values engineers who simplify systems, focus on outcomes, and take responsibility for what they build. What you can expect • Meaningful equity in a growing company, • A London based team with regular in person collaboration, • Real ownership of systems and product decisions, • A product used daily inside operational workflows, • Competitive benefits and a supportive engineering environment This role tends to suit engineers who want to work close to real users, build systems that matter, and see their work used immediately! Interested to hear more? Drop me an email at for a confidential chat.

Senior Full Stack Engineer | London | £120,000 - £160,000+ | Python | React | TypeScript Location: London (hybrid) Salary: £120,000 - £160,000 + equity Tech Stack: • Backend: Python (strong typing, well-structured APIs - Django or FastAPI or Flask), • Frontend: React, TypeScript, • Systems: Data modelling, integrations, platform architecture Are you an engineer who thinks in systems, not tickets? We’re working with a high calibre, early stage team building production grade software around AI systems. Not model building. Not prompt tinkering. The infrastructure, tooling, and platforms that make AI actually useful in the real world. This is an environment for engineers who care about how things are built, not just that they work. A small team with high standards and some serious momentum. What you’ll be doing: • Designing and building well typed backend systems in Python, • Creating clean, scalable frontend architecture using React and TypeScript, • Owning data models, schemas, and system design end to end, • Integrating complex external systems and services into a cohesive platform, • Taking problems from idea to production without layers of process slowing you down, • Contributing to architecture decisions that shape the direction of the product What they’re looking for: • Strong full stack experience with Python and modern frontend frameworks, • Engineers who care about clean design, readability, and long term maintainability, • Experience building and scaling systems, not just shipping features, • Comfort owning ambiguous problems and turning them into production systems, • Product minded thinking and a bias for action The ideal candidate is someone who leans into complexity rather than avoiding it, and gets real satisfaction from solving hard problems alongside sharp, thoughtful people. This means you're a strong communicator who can articulate ideas clearly without overengineering the explanation, and have the humour that keeps a startup environment enjoyable when things get intense. If you’re interested in AI but more drawn to building the systems around it than becoming an AI engineer, this is exactly that sweet spot. If that sounds like your kind of environment, drop me a message at . Senior Full Stack Engineer | London | £120,000 - £160,000+ | Python | React | TypeScript

Senior Full Stack Engineer | London | £120,000 - £160,000+ | Python | React | TypeScript Location: London (hybrid) Salary: £120,000 - £160,000 + equity Tech Stack: • Backend: Python (strong typing, well-structured APIs - Django or FastAPI or Flask), • Frontend: React, TypeScript, • Systems: Data modelling, integrations, platform architecture Are you an engineer who thinks in systems, not tickets? We’re working with a high calibre, early stage team building production grade software around AI systems. Not model building. Not prompt tinkering. The infrastructure, tooling, and platforms that make AI actually useful in the real world. This is an environment for engineers who care about how things are built, not just that they work. A small team with high standards and some serious momentum. What you’ll be doing: • Designing and building well typed backend systems in Python, • Creating clean, scalable frontend architecture using React and TypeScript, • Owning data models, schemas, and system design end to end, • Integrating complex external systems and services into a cohesive platform, • Taking problems from idea to production without layers of process slowing you down, • Contributing to architecture decisions that shape the direction of the product What they’re looking for: • Strong full stack experience with Python and modern frontend frameworks, • Engineers who care about clean design, readability, and long term maintainability, • Experience building and scaling systems, not just shipping features, • Comfort owning ambiguous problems and turning them into production systems, • Product minded thinking and a bias for action The ideal candidate is someone who leans into complexity rather than avoiding it, and gets real satisfaction from solving hard problems alongside sharp, thoughtful people. This means you're a strong communicator who can articulate ideas clearly without overengineering the explanation, and have the humour that keeps a startup environment enjoyable when things get intense. If you’re interested in AI but more drawn to building the systems around it than becoming an AI engineer, this is exactly that sweet spot. If that sounds like your kind of environment, drop me a message at . Senior Full Stack Engineer | London | £120,000 - £160,000+ | Python | React | TypeScript

Staff Machine Learning Engineer – | 3 Roles | UK Remote I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference is your specialism. ────────────────────────── 𝟭. Staff SE – Agentic AI Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 𝟮. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 𝟯. Staff SE – MLOps / DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across the full AI stack. ▸ MLFlow · Databricks · Datadog · Terraform ────────────────────────── What all three roles require: • 7+ years in AI/ML engineering, shipping models in production, • 3+ years in a Staff-level or senior technical leadership role, • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI, • Strong Python; Java or Rust a bonus, • Experience with LLMs, evaluation frameworks, and agentic AI patterns, • Docker, K8s, Terraform, CI/CD, • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── UK Remote Competitive Salary and benefits Not eligible for visa sponsorship ────────────────────────── Interested? Please apply, or know someone who might be? Drop me a DM • Seniority Level, • Not Applicable, • Industry, • Software Development, • Employment Type, • Full-time, • Job Functions, • Engineering, • Skills, • Artificial Intelligence (AI), • Large Language Models (LLM), • Machine Learning, • Technical Leadership, • Multi-agent Systems, • AWS SageMaker, • Amazon Web Services (AWS), • Python (Programming Language), • LangGraph, • Amazon

Acception with no experience We are looking for Couriers to join our team at Stansted. Whether you are fresh from the test centre or have experience, we want to speak to you! Your role We believe that our strengths come from our differences, and we actively invest in recruiting and retaining a diverse and inclusive workforce that reflects the communities we serve. As a FedEx courier you are the face of the business, delivering parcels on time to our customers. Working hours: 45 per week Salary: £16.22 per hour What will you going to be doing? • Collection and delivery of parcels and freight to our customers, • Security of the vehicle and freight while in your vehicle, • Multi drop deliveries, • Complete procedural checks on your vehicle, • Comply with Health and Safety regulations What are we looking for? • A full valid Class 2 license along with Driver CPC and Tacho Driver Card, • Someone with great customer service skills, • Great attitude with the ability to work independently and flexibly, • Good understanding of driving rules and regulations What you’ll get! • Free Uniform and PPE, • Fully funded DCPC renewal, • Free parking, • Life assurance policy which pays out 4 x salary, • Employee Assistance Programme Provides you with confidential support, information and advice to help you with your wellbeing, • Hospital cash plan scheme, • Tuition assistance for external training, • Reduced rate shipping for international packages, • Group scheme savings on many items, • Great career opportunities