artificial intelligence engineer

Digital Waffle

<div>
 
 
 AI Software Engineer
 
 
 
 
 
 <ul>
 <li>
 
 Onsite role in Soho
 
 </li>
 <li>
 
 &pound;80-120k depending on experience
 
 </li>
 </ul>
 
 
 
 
 We&rsquo;re on a mission to reinvent how AI understands people &mdash; not through CVs or data points, but through story, reasoning, and curiosity. We&rsquo;re building systems that listen, interpret, and understand
 
 why
 
 people say what they say. The goal? Create AI that perceives
 
 human potential
 
 , not just human input.
 
 
 If you love working on ideas that feel impossible &mdash; keep reading.
 
 
 
 
 
 
 The Role
 
 
 
 We&rsquo;re looking for an engineer who blends
 
 technical depth with creative instinct
 
 .
 
 
 You&rsquo;ll work directly with founders to shape the
 
 intelligence layer
 
 behind a new generation of human-aware AI &mdash; from LLM reasoning and semantic understanding to full-stack experiences that feel emotionally intelligent.
 
 
 
 
 
 If you&rsquo;ve worked in a
 
 disruptive industry
 
 and built something brand new &mdash; not just improved what already existed &mdash; this will feel familiar.
 
 
 
 
 
 
 What You&rsquo;ll Be Building
 
 
 <ul>
 <li>
 Core intelligence systems: LLM orchestration, semantic reasoning, and voice understanding
 </li>
 <li>
 Fast, intuitive interfaces that make human-AI interaction feel alive
 </li>
 <li>
 Rapid prototypes that turn bold ideas into working products
 </li>
 <li>
 Scalable infrastructure for experimentation and learning
 </li>
 </ul>
 
 
 
 
 
 You&rsquo;ll Thrive Here If You
 
 
 <ul>
 <li>
 Come from a
 
 disruptive, fast-moving environment
 
 </li>
 <li>
 Have helped launch or shape
 
 new ideas, products, or technologies
 
 </li>
 <li>
 Think in systems and build with elegance
 </li>
 <li>
 Believe speed drives creativity
 </li>
 <li>
 Are curious about human cognition and behaviour
 </li>
 <li>
 Value truth, craft, and collaboration over hierarchy
 </li>
 </ul>
 
 
 
 
 
 What You Bring
 
 
 <ul>
 <li>
 Deep fluency in
 
 TypeScript
 
 and modern frameworks
 </li>
 <li>
 Experience with
 
 vector databases
 
 and
 
 embeddings
 
 </li>
 <li>
 Strength in
 
 LLM fine-tuning
 
 or multimodal reasoning
 </li>
 <li>
 Proven ability to ship full-stack products fast
 </li>
 <li>
 Strong
 
 Python
 
 skills
 </li>
 <li>
 Experience using
 
 Gemini
 
 would be preferred
 </li>
 </ul>
 
 
 
 
 
 The Culture
 
 
 
 Just a small, ambitious team that debates hard, builds fast, and chases ideas that matter.
 
</div>

Artificial Intelligence Engineer

HCLTech

<div>
 
 Responsible for designing, developing, and deploying AI-driven agentic systems that enable autonomous decision-making, multi-agent collaboration, and scalable AI workflows.
 
 
 The role focuses on building intelligent backend systems using LLM frameworks and cloud-native architectures.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 &bull; Develop RESTful APIs (FastAPI/Flask) for AI and agent-based systems &bull;
 
 
 Design and implement agentic workflows using frameworks like LangChain, LangGraph, or similar &bull;
 
 
 Integrate LLMs with enterprise systems for contextual and intelligent automation &bull; Build and manage
 
 
 multi-agent orchestration systems and pipelines &bull; Optimize performance and scalability of AI backend
 
 
 services &bull; Implement authentication, logging, and observability &bull; Deploy solutions on GCP using GKE,
 
 
 Cloud Run, and Vertex AI &bull; Ensure security and compliance standards for AI workloads &bull; Implement
 
 
 CI/CD pipelines for AI applications
 
 
 Required Skills: &bull; Strong experience in Python and backend development &bull; Hands-on with LLM
 
 
 frameworks: LangChain, LangGraph, HuggingFace &bull; Experience with agent-based architectures and
 
 
 RAG implementations &bull; Knowledge of Google Cloud Platform (Vertex AI, GKE, Cloud Run) &bull; Familiarity
 
 
 with MCP servers and A2A communication models &bull; Experience in databases: PostgreSQL, MongoDB,
 
 
 Redis, FAISS &bull; Understanding of observability tools like Prometheus and Grafana
 
 
 
 
 
 
 Preferred Skills:
 
 
 
 
 
 
 &bull; Experience with EasyRAG or Google ADK &bull; Exposure to Streamlit UI for AI apps &bull;
 
 
 Knowledge of Terraform and CI/CD automation &bull; Experience with Kubernetes-based deployments
 
 
 Qualifications: Bachelor's or Master&rsquo;s degree in Computer Science, AI, or related field with 5+ years of experience in software development and AI engineering
 
 
 
 
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 A supportive, diverse and global team with a brilliant culture.
 </li>
 <li>
 Competitive compensation and benefits that includes up to 20 days&rsquo; vacation per year, various insurances like Term life, AD &amp;D and Business Travel insurance. These are apart from the statutory benefits applicable in the country.
 </li>
 <li>
 Great opportunities to make the role your own, upskill yourself and get involved with exciting projects
 </li>
 <li>
 Total Wellbeing is our focus. Alongside your professional excellence, you join the likeminded colleagues to create a larger impact within the company and society at large in your chosen area of passion - CSR Council, Diversity Council, Sparks &ndash; Engagement Champion to name a few.
 </li>
 <li>
 To know more about us visit &ndash; www.hcltech.com
 </li>
 </ul>
</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>

AI 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>

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>

Linux Recruit

Specialism
 
Software Engineering
 
Job type
 
Permanent
 
Location
 
London
 
Salary
 
£140,000 - £160,000 per annum
 
Most engineering roles promise impact. Few offer the opportunity to solve genuinely novel technical problems while helping define an entirely new category of software.
 
As an experienced engineer you want to work on challenges that are both intellectually demanding and commercially significant. You will join a small team tackling problems that sit at the intersection of artificial intelligence, software engineering, and enterprise transformation, with the freedom to influence both the technology and the direction of the product.
 
This is an opportunity to work on systems that must understand and reason about some of the most complex business environments in the world. Rather than optimising a small part of an existing product, you will help create technology that changes how large organisations operate and evolve, forever.
 
There is substantial ownership from day one. Decisions are made by the people closest to the problem, and engineers are trusted to shape architecture, product direction, and technical strategy. Your work will be visible, consequential, and deployed in environments where successful outcomes create measurable value at scale.
 
This is an environment where you’ll be surrounded by ambitious, highly capable colleagues who are motivated by solving difficult problems rather than maintaining the status quo. The environment is collaborative, intellectually rigorous, and designed for people who enjoy learning quickly and pushing the boundaries of what is possible. A low ego environment where it is about coming together to solve problems by shipping high quality code.
 
For engineers interested in artificial intelligence, this role provides the opportunity to work beyond experimentation and prototypes. You will build production systems that apply AI to real-world complexity and deliver tangible results for major organisations. The technical challenges are substantial, the feedback loops are fast, and the impact is immediate.
 
As the company grows, there will be significant opportunities to expand your influence, develop as a technical leader, and help build both the engineering culture and the technology platform. You will join at a stage where exceptional contributions are highly visible and where your work can have a lasting effect on the trajectory of the business.
 
If you are looking for a role that combines technical ambition, meaningful ownership, exceptional colleagues, and the opportunity to work on problems that few engineers encounter in their careers, we would like to hear from you.
 
James Yarrow
 Consultant
 07441347681

Principal Software Engineer

Macro Hive

<div>
 
 
 Data Engineer &mdash; Markets &amp; AI Data Platform
 
 
 
 
 
 
 
 Macro Hive
 
 (BGC Group) is a leading independent provider of global macro strategy. We combine best-in-class human and artificial intelligence to provide institutional investors with market-leading investment opportunities
 
 
 .Our experts leverage large language models, such as those that power chatbots like ChatGPT, to develop innovative, data-driven solutions to complex financial problems and to build state-of-the-art models in search of alpha signals across asset classes
 
 
 
 
 
 
 Mission:
 
 
 
 Build the data backbone for AI, quant models and client tools.
 
 
 
 
 
 
 Owns:
 
 
 <ul>
 <li>
 Market, economic, research, news, internal and Fenics/BGC data pipelines
 </li>
 <li>
 Bronze/silver/gold data architecture
 </li>
 <li>
 Data quality gates
 </li>
 <li>
 Instrument, ticker, country, client, source and theme metadata
 </li>
 <li>
 APIs/tables for agents, dashboards and quant models
 </li>
 <li>
 Data lineage, entitlements, permissions and monitoring
 </li>
 </ul>
 
 
 
 
 
 Must have:
 
 
 <ul>
 <li>
 Strong Python and SQL
 </li>
 <li>
 Production ETL/ELT experience
 </li>
 <li>
 Cloud data stack: Azure, Databricks, Delta Lake, Snowflake or similar
 </li>
 <li>
 Time-series or complex-data experience
 </li>
 <li>
 Data quality, monitoring and audit awareness
 </li>
 <li>
 Ability to turn messy data into clean model-ready datasets
 </li>
 </ul>
 
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Experience with ticker level data using for example kdb+
 </li>
 </ul>
 
 
 
</div>

Data Engineer

Explore 199+ Artificial intelligence engineer in London this July. Find roles across top companies and apply now to boost your career.

199 artificial intelligence engineer jobs In London

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