platform engineer

software engineer

lead software engineer

machine learning engineer

senior software engineer

automation engineer

Houseful

<div>6 months Initial Contract - Must work from the UK
Alto Software Group (ASG) is a leading B2B SaaS platform serving the UK property industry. We power thousands of estate agency branches and support a significant proportion of UK housing transactions each year.
We are building a data-driven, operationally efficient platform business. AI will be a structural lever in improving internal productivity, reducing operational cost, and enhancing customer experience.
This is a hands-on delivery role responsible for building the automations and AI integrations that embed AI into how we operate.
The Role
We are hiring a contract AI Engineer to build, deploy and maintain AI-enabled automations across our core systems stack. Working with the Principal Engineer and the Head of AI Operations, you will take prioritised automation opportunities from design through to production.
You will deliver against an internal AI roadmap spanning Customer Operations, Marketing, Finance, Education and Training to:<ul><li>Automate high-volume, manual administrative workflows</li><li>Build AI-enabled workflows in Salesforce, Zendesk, HubSpot, Zuora and Thrive LMS</li><li>Turn the Mission Control data platform into an engine for event-triggered automation</li><li>Reduce operational overhead and improve reporting speed and accuracy</li></ul>
Core ResponsibilitiesAutomation Build &amp; Integration<ul><li>Build and maintain automation pipelines using n8n, Zapier/Make and direct LLM API integrations (OpenAI/Anthropic)</li><li>Develop API and webhook integrations across Salesforce, Zendesk, HubSpot, Zuora and Thrive LMS</li><li>Implement workflows such as ticket summarisation, tagging, routing and AI triage</li></ul>
AI Engineering<ul><li>Design and implement RAG pipelines and vector database integrations over internal knowledge</li><li>Develop, test and version prompts; evaluate and improve output quality</li><li>Build event-triggered automations and AI-enabled reporting on Mission Control</li></ul>
Quality, Security &amp; Handover<ul><li>Apply sound engineering standards: error handling, logging and monitoring of automations in production</li><li>Ensure GDPR-compliant, secure handling of customer and company data</li><li>Document solutions clearly and hand over to internal teams for ongoing operation</li></ul>
What Success Looks Like (First 6 Months)<ul><li>Priority automation workflows live, stable and monitored in production</li><li>Measurable reduction in manual effort in targeted workflows</li><li>Reliable integrations across the core systems stack</li><li>Clear documentation enabling internal teams to operate and extend what you build</li></ul>
Required ExperienceTechnical<ul><li>Proven delivery of LLM-based automation in production environments</li><li>Strong experience with automation platforms (n8n, Make or Zapier)</li><li>Proficiency in Python and SQL</li><li>Strong API and webhook integration capability</li><li>Experience working with OpenAI/Anthropic APIs and prompt engineering</li><li>Experience building RAG pipelines and working with vector databases</li><li>Experience automating CRM (Salesforce) and support (Zendesk) environments preferred</li></ul>
Delivery<ul><li>Experience operating in B2B SaaS or similar fast-moving environments</li><li>Track record of delivering as a contractor: scoping, building and handing over cleanly</li><li>Comfortable working with non-technical stakeholders to refine requirements</li></ul>
Personal Attributes<ul><li>Delivery-focused and pragmatic</li><li>High agency and accountability</li><li>Structured, with strong attention to reliability and security</li><li>Comfortable working in ambiguity</li><li>Clear communicator with technical and non-technical audiences</li></ul>
Why This Role Matters
AI will be a structural margin lever for ASG. The automations you build will directly reduce operational cost, increase capacity without incremental headcount, and embed AI as core operational infrastructure rather than experimentation.</div>

AI Engineer (Contract)

SQLI

<div>
 
 We Elevate. Digitally.
 
 
 
 
 SQLI is a European leader in digital transformation and customer experience, helping major international brands drive growth through technology. From strategy to implementation, we design and deliver high-performance architectures and engaging digital experiences by combining advanced technologies, proven methodologies, and deep technical expertise.
 
 
 
 
 With 2,200 people across 12 countries, we&rsquo;re looking for passionate individuals who share our values: Creative Spirit, Commitment, and Forward Thinking.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 About the role
 
 
 
 
 
 
 The AI Engineer is the build engine of our AI practice. You turn business requirements into working AI solutions, fast, using coding agents and frontier models, then take the ones that prove their worth into production with the security, compliance, and reliability that enterprise clients demand.
 
 
 
 
 This is not a model-training role. We are not building or fine-tuning models from scratch. You build agentic workflows and LLM-powered applications on top of frontier models, wire them into real enterprise systems, and make them safe to run.
 
 
 
 
 You will work as part of the delivery team alongside consultants, business analysts, and architects. The consultant carries the client relationship and the architect owns the hard architectural calls. You own the build and you make real engineering decisions, not just execute someone else&rsquo;s spec. You are proactive about spotting better ways to build, and trusted to deliver without close supervision.
 
 
 
 
 
 
 What you will do
 
 
 
 
 
 <ul>
 <li>
 
 Use coding agents to prototype AI solutions quickly against real client requirements, so the team can validate value before committing to a full build
 
 
 
 </li>
 <li>
 
 Build, deploy, and maintain LLM-powered applications and agents that align with enterprise architecture principles and standards, with evaluation, monitoring, and token tracking in place from day one
 
 
 
 </li>
 <li>
 
 Set up MCP connectors and permissions against client systems, taking real care over data handling, access control, and what an agent is and is not allowed to do
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Build production solutions that meet client security requirements and European data protection obligations, including GDPR. This is not optional and not an afterthought
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Collaborate with consultants, business analysts, and architects to break business requirements down into solutions that are feasible, maintainable, and safe
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Create reusable AI assets and accelerators for the practice, including skills, plugins, and MCP servers that make future engagements faster
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Support Data &amp; AI teams with best practices around AI-assisted development, documentation, and automation, and coach less experienced colleagues on agentic build patterns and security standards
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Document deployment, upgrade paths, and maintenance so SQLI and our clients can own what you build after handover
 
 
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Proven experience with AI-assisted development. You have shipped something real with Claude or another agent platform, not just followed tutorials
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Strong TypeScript and/or Python for agentic glue code, custom MCP work, and evaluation
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience building RAG applications
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Hands-on with creating and using agent plugins, skills, and MCP servers for repeatable agentic workflows
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Skilled at engineering the prompts and context that let agents do work as autonomously as is safe and sensible
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Solid grasp of security, access control, and data protection (including GDPR) when building systems that act against real client data with real permissions
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience setting up CI/CD pipelines and automation
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Able to take a prototype through to a production-grade build, not just one or the other
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Strong collaboration and communication skills, ideally from an agency or consulting setting
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Proactive and autonomous, able to spot opportunities, make sound engineering decisions, and own delivery rather than wait to be told how to build
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Business-level English, able to understand business requirements directly from clients and communicate clearly in calls and in writing
 
 
 
 </li>
 </ul>
 
 
 
 Nice to have
 
 
 
 
 
 <ul>
 <li>
 
 Familiar with Microsoft Azure, particularly Azure AI infrastructure, as our primary cloud for production AI
 
 
 
 </li>
 <li>
 
 Hands-on with Anthropic&rsquo;s managed agent infrastructure (Claude managed agents, the agents API)
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Prior work on evaluation methods for LLM outputs
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience in e-commerce, or from an AI, agentic, or workflow automation background
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Comfortable presenting technical work and learnings to a non-engineering audience
 
 
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 
 
 How we will work together
 
 
 
 
 
 
 You will report into the Data &amp; AI service line leadership and work as part of client delivery teams across the service line and the wider SQLI group. The role is primarily billable client work. You will occasionally join client sessions for technical depth, but the consultant carries the relationship. We are looking for someone who can own technical decisions on the build, not only execute, with room to grow toward an AI Architect track as the practice scales.
 
 
 
 
 
 
 How to apply
 
 
 
 
 
 
 Send a short note covering:
 
 
 
 <ol>
 <li>
 
 One thing you have built recently with Claude Code or a Claude-based agent, with a link if possible
 
 
 
 </li>
 </ol>
 <ol>
 <li>
 
 How you would take an agent that touches real client systems from a quick prototype to something safe to run in production
 
 
 
 </li>
 </ol>
 <ol>
 <li>
 
 Your notice period and earliest start date
 
 
 
 </li>
 </ol>
 
 
 Why you&rsquo;ll love working at SQLI?
 
 
 
 
 <ul>
 <li>
 A flexible remote working policy: 3 days per week
 </li>
 <li>
 Continuous learning opportunities and certifications to support your development
 </li>
 <li>
 Personalised support: career follow-up, diverse projects, and strong team collaboration
 </li>
 <li>
 Regular rituals: internal communications on tech and AI topics, internal events, and meet-ups
 </li>
 </ul>
</div>

AI Engineer

Premier Group

<div>
 
 5+ years' experience in software engineering, with a strong background in scalable architecture and system design.
 
 
 
 
 
 Expert-level proficiency in
 
 TypeScript
 
 , including advanced typing techniques, reusable abstractions, and writing clean, maintainable code.
 
 
 
 
 
 Commercial experience building modern front-end applications using
 
 React
 
 , particularly for interactive dashboards, editing tools, or operational interfaces.
 
 
 
 
 
 Practical experience developing AI-powered applications using TypeScript-based frameworks such as
 
 LangChain.js
 
 ,
 
 LangGraph.js
 
 ,
 
 Vercel AI SDK
 
 , or equivalent custom LLM/agent frameworks.
 
 
 
 
 
 Solid understanding of autonomous agent architectures, including multi-agent workflows, task planning, orchestration, hierarchical agents, and execution pipelines.
 
 
 
 
 
 Experience designing and building APIs, SDKs, or service layers that enable automation and programmatic interaction with complex platforms.
 
 
 
 
 
 Strong understanding of prompt engineering best practices, including structured outputs, tool/function calling, retrieval patterns, and techniques for improving LLM reliability.
 
 
 
 
 
 Experience integrating AI capabilities into user-facing products, particularly where creative workflows or intelligent automation are involved.
 
</div>

COMMONWEALTH SECRETARIAT

<div>The Commonwealth Secretariat is seeking to appoint a Software Architect &ndash; QA Analyst within the Debt Management Unit (DMU), part of the Economic Development, Trade and Investment Directorate (EDTI). EDTI works closely with Commonwealth member countries to strengthen economic resilience through trade and investment policy, digital connectivity, investment facilitation, and wider economic and sustainable development priorities. Its work includes technical assistance, advisory support, knowledge exchange and capacity building, delivered through in-house expertise and strategic partnerships.
The DMU delivers the Secretariat&rsquo;s debt management programme, providing member countries with an integrated package of support covering policy advice, capacity building and debt management systems. This includes strengthening institutional and legal frameworks, supporting the development and implementation of debt management strategies, and contributing to market development.
Through the Commonwealth Secretariat Debt Recording and Management System, Commonwealth Meridian, the Secretariat supports client countries to manage public debt effectively at central and state government levels, covering back, middle and front office functions. Commonwealth Meridian is currently deployed in more than 40 countries.
Reporting to the Adviser and Head &ndash; Debt Management Unit through the Adviser &amp; Team Leader (IT Systems) and working closely with business analysts, economists, debt specialists and IT professionals, the Software Architect &ndash; QA Analyst will design, implement and continuously improve quality assurance strategies, testing processes, methodologies and automation frameworks for Commonwealth Meridian. The role will help identify and resolve defects, support the delivery of high-quality software, and may also involve providing technical support to clients and contributing to capacity-building activities.
Key responsibilities include:<ul><li>
Performing API testing using Postman, RestAssured, or similar tools to validate integrations.</li><li>
Designing and implementing test automation frameworks for UI, API, and performance testing.</li><li>
Managing the complete test cycle of software development from requirements testing to user acceptance and release testing.</li><li>
Planning testing across the software development lifecycle, including defining testing objectives and quality criteria, developing testing strategies, recommending appropriate testing approaches, and ensuring effective integration between testing and development activities.</li><li>
Making recommendations on appropriate testing tools to support the improvement and automation of DMU software testing activities.</li><li>
Supporting user queries when required, including helping to prioritise, diagnose and resolve support issues.</li></ul>
To be considered for this role, you will need a Master&rsquo;s and/or Bachelor&rsquo;s degree in Computer Science, software testing or a related discipline, with a substantial component relevant to computing. You will also need at least five years&rsquo; software testing experience, including experience of developing software automation scripts using .NET, NUnit and Selenium WebDriver, as well as quality assurance experience in a structured test environment. Candidates with experience in scripting unit-level test cases using C# in the Microsoft Visual Studio environment and who have an understanding of how AI and machine learning can be applied to public debt management quality assurance functions will have an added advantage.
The Commonwealth is a voluntary association of 56 member governments and provides guidance on policymaking, technical assistance and advisory services to Commonwealth member countries. We support governments to help achieve sustainable, inclusive and equitable development.
Please apply by submitting a CV and cover letter. Covering letters should be structured to address the key criteria required in the person specification, giving clear examples.
To join us, you must be a citizen of a Commonwealth country.
The Commonwealth is a voluntary association of 56 independent and equal countries.
It is home to 2.5 billion people, and includes both advanced economies and developing countries. 33 of our members are small states, including many island nations.
Our member governments have agreed to shared goals like development, democracy and peace. Our values and principles are expressed in the Commonwealth Charter.
The Commonwealth's roots go back to the British Empire. But today any country can join the modern Commonwealth. The last two countries to join the Commonwealth were Gabon and Togo in 2022.</div>

Software Architect – QA Analyst

Quaisr

<div></div><div><div><div><div><div>You are a software developer with a keen interest in generating real-world impact with industrial applications.
</div><div>Apply Now
</div></div></div></div><div><div><div><div>Who we are
We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team.
Who you are
You are a software developer with a keen interest in generating real-world impact with industrial applications.
Must have:
<ul><li>Evidence of self-motivated learning, listening, creative problem solving, critical thinking and solutions communication. We are less interested in specific technologies and tools, and more interested in your attitude, learning speed and thought processes.</li>
<li>Strong communication skills.</li>
<li>Existing interest in any of software automation, testing, or deployment.</li>
<li>Understanding of software engineering best practices.</li>
<li>Programming experience with any of C#, Rust, or other typed languages;</li>
<li>Interest in cloud technologies: e.g. AWS or Azure.</li>
<li>Eligibility to work in the UK.</li>
</ul>Nice to have:
<ul><li>Relevant degree in a STEM field (e.g., engineering, physics, mathematics, computer science).</li>
<li>Previous applied experience, e.g. internships or research projects, with industry or in technology startups.</li>
<li>DevOps experience with any of Kubernetes, HashiCorp Nomad, Docker;</li>
<li>Keen interest in data-flow pipelines, databases, simulation, machine learning and/or security;</li>
<li>Ability to deal with ambiguity and change, in a high-growth environment, while maintaining high standards of quality and attention to detail.</li>
<li>Customer interaction experience.</li>
</ul>Bonus:
<ul><li>Existing interest in standard machine learning and deep-learning packages (scikit-learn, Keras, PyTorch);</li>
<li>Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries;</li>
<li>Experience with high-performance computing (HPC).</li>
</ul>What we do
We are building what will become a leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. We develop and support a product that connects simulations, data, and AI to empower large organisations when making informed decisions across the life cycle of engineered systems.
Quaisr is an early stage startup backed by Crane Venture Partners (UK) and Acequia Capital (USA), along with international angel investors. We were founded on partnerships with leading engineering and research institutions including Imperial College London and The Alan Turing Institute. Our customers are early-adopter multinational organisations in the pharmaceuticals, fast-moving consumer goods, defence, and energy sectors.
Where we operate
Our office is in London (White City). This position is available full time in the UK.
When we work
We offer 25 days paid annual leave, in addition to UK bank holidays.
What you will do
You will have opportunities to contribute to exciting projects and grow your career in a supportive environment:
<ul><li>(60%) Support the development and testing of features, fixes and general improvements to the core Quaisr product. Investigate and address production issues..</li>
<li>(20%) Improve deployment processes including deployment scripting, testing, continuous integration and continuous delivery.</li>
<li>(20%) Contribute to technical reference materials including application, code and use-case documentation, technical blog posts, and educational resources for teach-in sessions and data-centric engineering seminars.</li>
</ul>What we offer
<ul><li>Salary range of &pound;60,000 to &pound;85,000 depending on experience.</li>
<li>Development training and support to learn required technical skills.</li>
<li>Employee stock options.</li>
<li>New equipment: MacBook Pro, and work-from-home allowance.</li>
<li>Opportunities to attend technical conferences.</li>
<li>Flexible hybrid working environment, blending work from the office and home.</li>
</ul>Our hiring process
<ul><li>(30 mins) Introductory call with Quaisr. This is a chance to learn about Quaisr and to check that our plans align with your own. We want to get to know you.</li>
<li>(90 mins) Technical call with two Quaisr team members. We&rsquo;ll give you an opportunity to talk through a past programming experience, including taking us through some of your code. We want to learn more about you, and a little regarding how you think!</li>
<li>(45 mins) Online coding exercise (with a Quaisr team member on the call) working on a practical task related to cloud deployment or automation.</li>
<li>(45 mins) Follow-up with additional Quaisr team. You will meet your future team members and learn more about the role directly from us.</li>
</ul>Application instructions
Please send a cover letter and CV (max 2 pages) to careers@quaisr.com.
Our policy on equality, diversity and inclusion
Quaisr is committed to creating an environment where diversity is valued and everyone is treated fairly. We welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability.
One more thing
If you have a compelling interest in our mission, and wish to propose a role that more closely matches your skill set, please get in touch.</div></div></div></div></div>

Software Engineer, Mid/Senior (m/f/*)

Trafigura

<div>
 
 
 Main Purpose
 
 
 
 We are seeking an experienced
 
 Infrastructure Platform Engineer
 
 to join our well established but growing infrastructure team. This role will focus on delivering and managing infrastructure-as-code (IaC) solutions to support private cloud-based platforms, including Kubernetes clusters and High-Performance Computing (HPC) environments. The engineer will also support integration with hybrid and public cloud services to ensure robust, scalable, and efficient platform operations.
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Design, implement, and maintain platform offerings such as Kubernetes, server build automation and High-Performance Computing
 
 </li>
 <li>
 
 Build and manage infrastructure using infrastructure-as-code tools such as Terraform, Ansible, and Helm.
 
 </li>
 <li>
 
 Develop and maintain scalable and secure platform architectures supporting containerized, distributed, and high-performance applications.
 
 </li>
 <li>
 
 Ensure consistent automation, provisioning, and configuration management across environments.
 
 </li>
 <li>
 
 Collaborate with DevOps, application, and research teams to support platform enablement and project delivery.
 
 </li>
 <li>
 
 Integrate on-premises infrastructure with hybrid/public cloud environments (e.g., Azure, AWS) to extend or federate compute resources.
 
 </li>
 <li>
 
 Monitor, tune, and troubleshoot platform performance and availability.
 
 </li>
 <li>
 
 Manage system upgrades, patching, backup, and disaster recovery for key infrastructure components.
 
 </li>
 <li>
 
 Maintain compliance with security and governance standards.
 
 </li>
 <li>
 
 Document systems architecture, runbooks, and configuration as part of a knowledge-sharing culture.
 
 </li>
 </ul>
 
 
 
 
 Required Qualifiations
 
 
 <ul>
 <li>
 
 
 Minimum of 5 years
 
 of experience in Infrastructure Platform Engineering
 
 </li>
 <li>
 
 Bachelor&rsquo;s degree in computer science; information technology or a related field
 
 </li>
 <li>
 
 Solid understanding of Linux system administration, virtualization, and container technologies
 
 </li>
 <li>
 
 Experience with CI/CD pipelines and integrating IaC workflows with tools like GitLab CI, Jenkins, or Azure DevOps
 
 </li>
 <li>
 
 Hands-on experience deploying and managing Kubernetes clusters (e.g., VKS [Tanzu], EKS Anywhere, Rancher, OpenShift, etc)
 
 </li>
 <li>
 
 VMware Automation experience (e.g. vRealize or Aria Automation)
 
 </li>
 <li>
 
 Strong understanding of automation tooling and programming languages such as Python, Powershell, Bash, Go, Ansible, get etc
 
 </li>
 <li>
 
 Solid understanding of networking fundamentals, storage management and performance tuning
 
 </li>
 </ul>
 
 
 
 
 Attributes for success
 
 
 <ul>
 <li>
 
 Problem-solving
 
 </li>
 <li>
 
 Ability to improve business processes
 
 </li>
 <li>
 
 Able to use initiative
 
 </li>
 <li>
 
 Strategic planning
 
 </li>
 </ul>
 
 
 
 
 Key Relationships
 
 
 <ul>
 <li>
 
 Platform Engineering Team
 
 </li>
 <li>
 
 Vendor management
 
 </li>
 <li>
 
 Windows Engineering Team
 
 </li>
 <li>
 
 Outsourced IT management
 
 </li>
 </ul>
 
 
 
 
 Department Overview
 
 
 
 Trafigura Group IT provides shared services across the Trafigura group of companies, offering services at scale where it makes economic sense.
 
 &nbsp;
 
 
 
 Reporting Structure
 
 
 
 The engineer will report to the Platform Architect and will join a team of six other engineers who work in a collaborative team covering the Storage, Linux and Virtualisation towers.
 
 
 
 
 
 Equal Opportunity Employer
 
 
 
 We are an Equal Opportunity Employer and take pride in a diverse workforce. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status.
 
 
 &nbsp;&nbsp;&nbsp;
 
 
 
</div>

Platform Engineer

Intact Insurance UK

<div>
 
 APPLY NOW!
 
 
 
 Intact Insurance is the new name for RSA in the UK, Ireland, and across Europe. It&rsquo;s a new name and a new way to do business. Backed by global expertise and a commitment to service that feels different, we&rsquo;re focused on making insurance simpler, faster, and more responsive.
 
 
 
 Shape The Future
 
 
 
 We&rsquo;re leading a transformation in insurance helping people, businesses and society prosper in good times and be resilient in bad times. When you join us, you&rsquo;re not just taking a job, you&rsquo;re stepping into a career where you can make a real difference.
 
 
 
 Grow With Us
 
 
 
 We&rsquo;re customer-driven, community-focused, and committed to helping our people grow. Whether you&rsquo;re early in your journey or bringing years of experience, we&rsquo;ll support you with the tools, flexibility, and opportunities to thrive.
 
 
 
 Win As a Team
 
 
 
 We&rsquo;re looking for a Machine Learning Engineer to help build and run production-ready ML systems that make a real impact across the business. You&rsquo;ll work closely with Data Scientists and engineering teams, shaping the ML roadmap, developing scalable solutions, and driving innovation while growing your career.
 
 
 
 You&rsquo;ll Make An Impact By
 
 
 
 <ul>
 <li>
 Build and automate ML pipelines for feature engineering, model training, and model scoring using Python, PySpark, Databricks, and MLflow.
 </li>
 <li>
 Productionise Data Science models, converting notebooks into modular, tested, production-ready code.
 </li>
 <li>
 Deploy models into batch and real-time environments, managing versioning, promotion, rollback, and scheduled workflows via MLflow and APIs.
 </li>
 <li>
 Implement monitoring and observability, including data and model drift detection, performance alerts, logging, and automated retraining.
 </li>
 <li>
 Collaborate with Data Engineering and Platform teams on CI/CD integration, pipeline performance, compute optimisation, and secure deployment patterns.
 </li>
 <li>
 Maintain engineering standards, ensuring high-quality testing, documentation, code quality, reproducibility, and operational reliability.
 
 
 </li>
 </ul>
 
 Your Skills And Experience
 
 
 
 <ul>
 <li>
 Experience with ML platforms including Databricks, MLflow, Delta Lake, and cloud environments.
 </li>
 <li>
 Proficient in Python, PySpark, and SQL, following production coding best practices.
 </li>
 <li>
 Understanding of data, distributed ML pipelines, and model deployment patterns, including monitoring, drift detection, and lifecycle operations.
 </li>
 <li>
 Exposure to CI/CD, containerisation, and API integration, with the ability to build scalable, production-ready ML systems.
 </li>
 <li>
 Comfortable working technically while communicating effectively with Data Scientists, stakeholders, and cross-functional teams.
 
 
 </li>
 </ul>
 
 Why You&rsquo;ll Love It Here
 
 
 
 Being part of our team means you&rsquo;ll have the support and freedom to bring your best self to work each day. As a permanent member, here&rsquo;s what you can look forward to
 
 
 <ul>
 <li>
 Annual discretionary bonus
 </li>
 <li>
 Up to 11% pension contributions
 </li>
 <li>
 Hybrid working + flexible hours
 </li>
 <li>
 25 days annual leave + bank holidays + buy/sell options
 </li>
 <li>
 Health &amp; wellbeing + virtual GP
 </li>
 <li>
 Career development and mentoring
 </li>
 <li>
 Inclusive culture + employee networks
 </li>
 <li>
 Share investment options
 
 
 </li>
 </ul>
 
 Our DEI Commitment
 
 
 
 We celebrate individuality and believe our differences make us stronger. We&rsquo;re proud to foster a culture where everyone feels respected, valued, and empowered to thrive.
 
 
 As an Equal Opportunity and Disability Confident Employer, we ensure fair consideration for all applicants and offer interviews to all disabled candidates who meet the essential criteria.
 
 
 We understand that everyone&rsquo;s circumstances are different and are happy to explore flexible working options such as reduced hours or job shares to support work&ndash;life balance.
 
 
 If you meet the core criteria but not every requirement, we&rsquo;d still love to hear from you. Let&rsquo;s explore how this role could support your next career step. If you need adjustments during the recruitment process, just let us know we&rsquo;re here to support you.
 
 
</div>

Machine Learning Engineer

Explore 70+ Automation engineer in London this July. Find roles across top companies and apply now to boost your career.

70 automation engineer jobs In London

AI Engineer (Contract)

AI Engineer

AI Engineer

Software Architect – QA Analyst

Software Engineer, Mid/Senior (m/f/*)

Platform Engineer

Machine Learning Engineer