ai engineer

full stack engineer

platform engineer

software engineer

data engineer

python 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

Faculty

<div><h2 class="jobSectionHeader">Why Faculty? 
</h2> 
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we&rsquo;ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.
We don&rsquo;t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.
Our business, and reputation, is growing fast and we&rsquo;re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
AI is an epoch-defining technology, join a company where you&rsquo;ll be empowered to envision its most powerful applications, and to make them happen.<div> 
</div><h2 class="jobSectionHeader">
About the team</h2><div></div> 
Our Energy, Transition and Environment business unit is pioneering meaningful change in the clean energy revolution. Our vision is to accelerate the transition to net-zero emissions and drive efficiencies for a new era of utility companies.<div></div> 
We believe that the responsible, and intelligent, deployment of AI is critical to the success of this mission. We partner with a wide range of clients - from major energy operators, to GreenTech startups, and national infrastructure providers - to build solutions which return measurable impact and move us towards a smarter, cleaner, and more sustainable world.<div></div><div> 
</div><h2 class="jobSectionHeader">
About the role</h2><div></div> 
Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients.<div></div> 
You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems.<div> 
</div><div>
</div><h2 class="jobSectionHeader">What you'll be doing:</h2><div></div><ul><li> 
Building and deploying production-grade ML software, tools, and infrastructure.</li><li>
Creating reusable, scalable solutions that accelerate the delivery of ML systems.</li><li>
Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges.</li><li>
Leading technical scoping and architectural decisions to ensure project feasibility and impact.</li><li>
Defining and implementing Faculty&rsquo;s standards for deploying machine learning at scale.</li><li>
Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders.<div> 
</div></li></ul><h2 class="jobSectionHeader">
Who we're looking for:</h2><div></div><ul><li> 
You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch.</li><li>
You possess strong Python skills and solid experience in software engineering best practices.</li><li>
You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security.</li><li>
You've worked with container and orchestration tools such at Docker &amp; Kubernetes to build and manage applications at scale</li><li>
You are comfortable with core ML concepts, including probability, statistics, and common learning techniques.</li><li>
You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders.</li><li>
You thrive in a fast-paced environment, and enjoy the autonomy to own scope, solve and delivery solutions</li></ul><div> 
</div><h2 class="jobSectionHeader">
Our Interview Process</h2><div></div><ul><li> 
Talent Team Screen (30 minutes)</li><li>
Pair Programming Interview (90 minutes)
</li><li>System Design Interview (90 minutes)
</li><li>Commercial Interview (60 minutes)</li></ul> 
#LI-PRIO<h2 class="jobSectionHeader"> 
Our Recruitment Ethos</h2>
We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We&rsquo;re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Some of our standout benefits:<ul><li>
Unlimited Annual Leave Policy</li><li>
Private healthcare and dental</li><li>
Enhanced parental leave</li><li>
Family-Friendly Flexibility &amp; Flexible working</li><li>
Sanctus Coaching</li><li>
Hybrid Working</li></ul>
If you don&rsquo;t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.</div>

Machine learning Engineer

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

Pacific Life

<div>Job Title
AI Engineer
Job Description
Role Summary
Designs, builds, and pilots AI‑enabled solutions that support PL Re business teams through experimentation, rapid prototyping, and value‑led innovation. Operating within the Business &amp; AI team, the role translates business problems into secure, scalable, cloud‑hosted AI solutions suitable for a regulated reinsurance environment. 
The role combines hands‑on AI and full‑stack development with strong engineering judgement, ensuring alignment with PL Re engineering standards, enterprise architecture, and security controls. A key focus is maintaining awareness of emerging AI technologies and applying relevant advances pragmatically.
The role works closely with the Global Experience Analysis (Global EA) engineering team to accelerate AI adoption while ensuring solutions can transition from experimentation into enterprise platforms where appropriate.
Key Responsibilities
AI Solution Design &amp; Delivery<ul><li>
Design, build, and pilot AI‑enabled solutions that address PL Re business problems through experimentation and rapid prototyping.</li><li>
Translate business use cases into secure, scalable, cloud‑hosted AI solutions aligned to enterprise standards.</li><li>
Deliver hands‑on full‑stack and AI development, producing solutions capable of transition into strategic or BAU platforms where appropriate.</li><li>
Design prototypes with explicit consideration for scalability, operability, data governance, and integration pathways if progressed beyond pilot.</li></ul>
AI Research &amp; Innovation<ul><li>
Research, evaluate, and stay current with emerging AI approaches, tools, and techniques.</li><li>
Assess the relevance and applicability of new AI capabilities within a regulated reinsurance environment.</li><li>
Apply insights from research to inform experimentation, solution design, and technical direction.</li><li>
Engineering Excellence &amp; Governance Alignment</li><li>
Ensure adherence to PL Technology engineering standards, architecture principles, and security controls.</li><li>
Partner with Enterprise Architecture and Information Security to meet governance and regulatory expectations.</li><li>
Ensure solutions respect data principles including ownership, lineage, residency, and PII handling.</li><li>
Apply approved integration patterns when accessing platforms, data products, or external services.</li></ul>
Collaboration &amp; Knowledge Sharing<ul><li>
Work alongside the Global Experience Analysis (Global EA) engineering team, sharing cloud and AI engineering insights, patterns, and lessons learned.</li><li>
Act as a bridge between Business &amp; AI experimentation and wider PL Re technology capabilities to accelerate AI adoption consistently across the organisation.</li></ul>
Architecture &amp; Platform Alignment<ul><li>
Contribute to solution architecture designs, including high‑level logical and cloud architectures, for AI use cases progressing beyond experimentation.</li><li>
Align AI solutions with Architecture Governance, PL Re target architectures, approved platforms, integration patterns, and data architecture principles.</li><li>
Identify architectural impacts, dependencies, and technical debt risks arising from AI experimentation.</li></ul>
Skills &amp; Experience 
Essential<ul><li>
Demonstrable experience designing, building, and piloting AI‑enabled solutions, including rapid prototyping and experimentation in partnership with business stakeholders.</li><li>
Strong hands‑on development experience (Python, APIs, modern application architectures).</li><li>
Experience translating business problems into practical, secure, and scalable technical solutions aligned to enterprise standards.</li><li>
Ability to translate business problems into secure, scalable enterprise‑aligned solutions.</li><li>
Experience evaluating and applying AI technologies within regulated or risk‑aware environments.</li><li>
Strong engineering judgement, balancing innovation with operational readiness and control.</li></ul> 
Skills &amp; Experience &ndash; Desirable<ul><li>
Experience with AI, data, and analytics platforms on AWS or Azure, including managed AI or foundation model services.</li><li>
Exposure to actuarial, underwriting, pricing, analytics, or adjacent insurance technology environments.</li><li>
Familiarity with DevOps / DevSecOps practices, including CI/CD pipelines in enterprise settings.</li><li>
Understanding of enterprise architecture principles, target architectures, and design governance processes in large, regulated organisations.</li><li>
Exposure to AI and developer tooling such as OpenAI, AWS Bedrock, Claude, Llama, Azure AI Foundry, Copilot Studio, GitHub Copilot, or similar ecosystems.</li></ul>
Behavioural Competencies<ul><li>
Strong ownership and accountability for delivery outcomes.</li><li>
Clear, confident communication with both technical and non‑technical stakeholders.</li><li>
Ability to lead through influence, setting technical direction and standards without formal authority.</li><li>
Risk‑aware, quality‑driven mindset suited to a regulated financial services environment.</li></ul>
Working For Pacific Life Re
Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step. Of course, we take our work seriously and we know our team can operate under great pressure. We work hard and thrive on achievement, but we also know how to have fun and relax too. We regularly host a range of team building days to strengthen our team's connection with each other and reflect on their successes.
Providing employees with a healthy work-life balance is very important to our culture. We have a wide range of employee benefits and we host regular social activities and well being initiatives. We are also committed to supporting our employee's involvement in their communities, by actively fundraising, hosting charity events and overseeing volunteering opportunities.
Benefits (Only for Permanent and Fixed Term Employees)
Leave
<ul><li>25 days of annual leave with option to buy/sell more days</li><li>
Adoption and fertility leave</li><li>
Generous enhanced parental leave</li></ul>
Healthcare<ul><li>
Comprehensive private insurance coverage for employee and dependents</li><li>
Group Life Insurance coverage of 9x basic annual salary and Group Income Protection up to 75% of basic annual salary</li><li>
Optical benefits</li></ul>
Savings &amp; Retirement<ul><li>
15% combined employee/employer contributions</li></ul>
Wellness<ul><li>
Subsidized gym membership</li><li>
Access to Employee Assistance Program</li><li>
Cycle to Work and Electric Car Salary Sacrifice Scheme</li><li>
Time off for volunteering</li><li>
Charitable matching of employee donations</li></ul>
You Can Be Who You Are
We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential.
﻿As part of our commitment to diversity and inclusion, we will provide reasonable adjustments during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs so that we can discuss these with you to make sure that suitable adjustments are made, where possible.
Pacific Life Re Values
Please click here to view our company values</div>

Haystack

<div>
 We are working with a pioneering technology firm that is at the forefront of developing cutting-edge AI solutions for real-world applications across various industries. This company is renowned for its innovative approach to machine learning and its commitment to pushing the boundaries of what's possible.
 
 
 The Role
 
 
 <ul>
 <li>
 Develop, train, and optimise advanced computer vision and machine learning systems
 </li>
 <li>
 Deploy machine learning solutions in constrained edge environments
 </li>
 <li>
 Work with a team of experts on innovative AI projects
 </li>
 <li>
 Contribute to the full lifecycle of machine learning model development
 
 
 </li>
 </ul>
 What You'll Need
 
 
 <ul>
 <li>
 Proven experience as a Machine Learning Engineer
 </li>
 <li>
 Expertise in computer vision and machine learning model development
 </li>
 <li>
 Familiarity with deploying models in edge environments
 </li>
 <li>
 Strong problem-solving skills and an analytical mindset
 </li>
 <li>
 Excellent communication and collaboration abilities
 
 
 </li>
 </ul>
 What's On Offer
 
 
 <ul>
 <li>
 Competitive salary based on experience
 </li>
 <li>
 Opportunity to work on groundbreaking AI technology
 </li>
 <li>
 Diverse and inclusive work environment
 </li>
 <li>
 Professional growth and development opportunities
 
 
 </li>
 </ul>
 Apply via Haystack today!
 
 
</div>

Elixirr Digital

<div>
 Are you passionate about leveraging AI to transform global industries? Do you have a proven track record of working with LLMs and building agentic solutions?
 
 
 Join
 
 Elixirr
 
 as an
 
 AI Engineer
 
 , where you will drive innovation and help shape the future of intelligent systems for clients across industries like banking, insurance, healthcare, telecommunications, consumer goods, and more. We're looking for proactive self-starters who are constantly reading research, applying it, and using AI to improve their processes, fully embracing the technology.
 
 
 At Elixirr Digital, we&rsquo;ve been on the cutting edge of generative AI from the beginning, developing our own platforms and deploying transformative solutions to global clients for several years. Our expertise spans working with early models like BERT to today&rsquo;s leading foundation and open-source models and leading frameworks like LangChain, AutoGen, Swarm, and Crew.ai to build innovative, agentic solutions. From underwriting agents that empower financial professionals to knowledge agents streamlining customer workflows, our solutions are revolutionising industries by embedding AI at their core.
 
 
 If you&rsquo;re excited to work at the forefront of generative AI, helping enterprises transform from the inside out, we want to hear from you. Let&rsquo;s build the future of AI together!
 
 
 
 What will you be doing as an AI Engineer at Elixirr?
 
 
 
 <ul>
 <li>
 Design &amp; implement solutions: architect, design, and develop advanced AI systems with a focus on LLMs and agentic solutions that transform enterprise workflows.
 </li>
 <li>
 Collaborate: work cross-functional experts to deliver AI-driven innovations and mentor Junior Engineers.
 </li>
 <li>
 Drive innovation: work on a mix of internal R&amp;D projects and enterprise-level solutions, building and optimising tools for both internal and client use.
 </li>
 <li>
 Deploy at scale: develop and maintain production-ready AI solutions, ensuring scalability, performance, and reliability.
 </li>
 <li>
 End-to-end life cycle: own and contribute to the entire AI development life cycle, from research and prototyping to deployment and monitoring.
 </li>
 <li>
 Deliver tangible outcomes: help global enterprises achieve measurable impact through solutions like underwriting agents, airport assistants, pharmacy workflow optimisers, and customer due diligence systems.
 
 
 </li>
 </ul>
 
 Competencies &amp; skillset we expect you to have to successfully perform your job:
 
 
 
 
 
 <ul>
 <li>
 Experience with LLMs: hands-on experience working with LLMs, with demonstrated expertise in building and deploying agentic solutions using frameworks such as LangChain, AutoGen, Crew, or Swarm.
 </li>
 <li>
 Bring technical expertise: solid background in programming and past experience in machine learning, with a deep understanding of at least one area such as deep learning, reinforcement learning, fine-tuning, or model development.
 </li>
 <li>
 Think strategically: ability to design and lead AI solutions while also contributing directly to development. Excellent problem-solving, analytical, and critical thinking skills, with a proficiency in applying mathematical principles to analyse, model, and solve complex problems.
 </li>
 <li>
 Focus on outcomes: passion for transforming businesses and delivering measurable results through AI.
 </li>
 <li>
 Collaborate effectively: experience working in cross-functional teams, balancing R&amp;D and production-level work.
 </li>
 <li>
 Innovation-driven: stay ahead of AI trends, continuously innovate by building and refining tools for internal and client use, and actively apply cutting-edge research to improve processes and develop scalable, impactful solutions.
 
 
 </li>
 </ul>
 
 Bonus points if you have:
 
 
 
 
 
 <ul>
 <li>
 Proven track record of leading AI projects from concept to deployment.
 </li>
 <li>
 Strong understanding of the AI development life cycle, with deep expertise in at least one part of the process.
 </li>
 <li>
 Examples of deployed AI systems demonstrating agentic capabilities.
 
 
 </li>
 </ul>
 
 We Could Be a Perfect Fit If You Are
 
 
 
 <ul>
 <li>
 Passionate about technology. You anticipate, recognise, and resolve technical problems using a variety of specialised tools for application development and support.
 </li>
 <li>
 Independent. You are a self-motivated and ambitious individual, capable of managing multiple responsibilities effectively.
 </li>
 <li>
 Problem-solver. You think creatively and find solutions to complex challenges.
 </li>
 <li>
 Creative &amp; outside-the-box thinker. You look beyond blog posts and whitepapers, competitions, and even state-of-the-art benchmarks to solve real-world problems.
 </li>
 <li>
 Communicator. Strong verbal and written communication skills are essential to ensure effective collaboration and timely delivery of results within the team.
 </li>
 <li>
 Proficient in English. We work across continents in a global environment, so fluent English, both written and spoken is a must.
 
 
 </li>
 </ul>
 
 Why join Elixirr?
 
 
 
 <ul>
 <li>
 Global impact: work with top-tier clients across industries, solving real-world challenges with transformative AI solutions.
 </li>
 <li>
 Cutting-edge innovation: develop and deploy AI tools and platforms that redefine what&rsquo;s possible in enterprise AI.
 </li>
 <li>
 Collaborative culture: join a team of innovators passionate about advancing AI while fostering a collaborative, inclusive environment.
 </li>
 <li>
 Diverse projects: tackle a wide range of AI applications, from NLP to reinforcement learning, for use cases as varied as field support for telecom workers and optimising customer workflows in banks.
 </li>
 </ul>
</div>

Burns Sheehan

<div>
 
 
 Senior Backend Engineer &ndash; Fintech - Python
 
 
 
 
 
 
 
 📍 London (Hybrid, 3 days per week)
 
 
 
 
 
 
 
 💵 &pound;80,000 &ndash; &pound;90,000 + 10-20% Bonus
 
 
 
 
 
 
 
 💻 Python, Django, Flask, Pandas, APIs, Airflow, Data Processing
 
 
 
 
 
 
 
 📈 Growing Private Credit technology platform
 
 
 
 
 
 
 
 ⚙️ Backend ownership, platform engineering and data-adjacent challenges
 
 
 
 
 
 
 
 
 
 We're partnered with a specialist technology business operating within the Private Credit and Asset Finance space. Following multiple new client wins and a significant increase in platform demand, they're expanding their engineering team with the hire of a Senior Backend Engineer.
 
 
 
 
 
 This is a genuine ownership role within a small, highly capable engineering team. Engineers are responsible for features and components from design through to delivery, working closely with technical leadership and domain experts to shape the future of the platform.
 
 
 
 
 
 The business has built a sophisticated software platform used to manage and monitor complex financial workflows. As new projects continue to onboard, they're looking for an experienced Python engineer to help scale backend services, APIs and data-processing capabilities across the platform.
 
 
 
 
 
 One of the more interesting aspects of the opportunity is the level of influence available. There is no traditional product management layer, meaning engineers have direct input into technical decisions, ownership of meaningful components and the opportunity to shape how the platform evolves.
 
 
 
 
 
 
 Ideal profile:
 
 
 
 &bull; 5+ years' commercial software engineering experience
 
 
 &bull; Strong Python backend development experience
 
 
 &bull; Commercial experience with Django, Flask or similar frameworks
 
 
 &bull; Experience building APIs and backend services in production environments
 
 
 &bull; Comfortable working with data-processing workflows, ETL pipelines or DataFrame-style tooling
 
 
 
 
 
 
 
 
 
 Senior Backend Engineer &ndash; Fintech - Python
 
 
</div>

Senior Software Engineer

Explore 134+ Python engineer in London this July. Find roles across top companies and apply now to boost your career.

134 python engineer jobs In London

Machine Learning Engineer

Machine learning Engineer

AI Engineer

AI Engineer

Machine Learning Engineer

AI Engineer

Senior Software Engineer