lead software engineer

platform engineer

software engineer

ai engineer

machine learning engineer

ai architect engineer agentic ai llm architecture

Talan

<div>Company Description 
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). 
Job Description 
As our AI practice scales, we are seeking an experienced AI Architect / Engineer to act as the senior technical authority shaping how we design and deliver next-generation AI solutions. This is a role for someone who has moved beyond building individual models to architecting entire systems: agentic platforms, LLM-powered applications, and the production infrastructure that makes them dependable at enterprise scale.
You will sit at the intersection of strategy and delivery, operating across multiple client engagements simultaneously. In the early phases you will shape solutions, validate technical approaches, and translate ambiguous business problems into robust, deployable architectures. As engagements mature, you will provide the technical oversight that keeps delivery teams aligned to the original design intent. Your influence will be felt in pre-sales conversations, solution blueprints, and the technical standards that define how our practice builds.
This is a hands on architectural role, not a purely advisory one. We expect you to remain close to the code, to prototype where it accelerates a decision, and to set a credible technical example for the engineers and data scientists you guide.
Required skills &amp; experience:<ul><li>
Lead end-to-end solution architecture for AI and LLM-based systems, spanning data, integration, infrastructure, and deployment.</li><li>
Design agentic architectures and multi-agent orchestration patterns, defining how LLMs, tools, APIs, and retrieval layers interact reliably.</li><li>
Shape early-stage engagements (scoping, solutioning, estimation, and pre-sales) turning client ambition into deliverable technical plans.</li><li>
Provide technical validation and quality oversight across several concurrent projects, mitigating risk before it reaches delivery.</li><li>
Define LLM integration and prompting strategies, including RAG, fine-tuning, evaluation, and guardrailing approaches.</li><li>
Establish MLOps and LLMOps practices that ensure solutions are observable, testable, and production ready.</li><li>
Set architectural standards, reusable patterns, and reference implementations that raise the quality bar across the practice.</li><li>
Partner with Responsible AI colleagues to embed safety, security, and governance into solution designs from the outset.</li></ul> 

Qualifications 
To qualify for this role, you must have:
<ul><li>Minimum 5 years in AI architecture or AI engineering, ideally 10+, with a track record of production deployments.</li><li>
Deep expertise in LLMs, agent frameworks (e.g. LangGraph, AutoGen, Semantic Kernel), API design, and orchestration.</li><li>
Strong cloud engineering experience.</li><li>
Proven MLOps / LLMOps capability &mdash; CI/CD for models, monitoring, evaluation, and cost optimisation.</li><li>
Hands-on software engineering background (Python and modern tooling) underpinning your architectural decisions.</li><li>
Comfort managing multiple engagements at once, with pragmatic judgement on trade-offs and delivery risk.</li></ul>
Ideally, you&rsquo;ll also have, but not essential:<ul><li>
Experience in consulting, professional services, or pre-sales environments.</li><li>
Exposure to enterprise-scale, regulated AI deployments (financial services, public sector, healthcare).</li><li>
Familiarity with vector databases, knowledge graphs, and advanced retrieval techniques.</li><li>
Relevant cloud or AI certifications.</li></ul>
You must be:<ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul> 
#TalanUK #LI-HB1 
Additional Information 
Compensation &amp; Benefits Package:<ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul>
Why join:
You will be a founding technical voice in a practice that is investing decisively in AI. The work is varied, intellectually demanding, and commercially significant, you will shape solutions that reach production, not slideware. You will have the autonomy to define how we build, the support of a collaborative multidisciplinary team, and a clear platform to grow into a practice-leading technical figure.</div>

AI Architect / Engineer (Agentic AI & LLM Architecture)

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

<div>
 
 Job Description
 
 
 
 We&rsquo;re seeking a future team member for the role of
 
 AI-Forward Software Engineer &mdash; AI Transformation Office
 
 ,
 
 Senior Vice President
 
 to join our team. This role is located in
 
 London
 
 .
 
 
 We are looking for a hands-on, AI-forward engineer to build and ship production-grade GenAI and agentic automation solutions as part of BNY's centralized AI Transformation Office. This is not a traditional engineering role - we are not looking for engineers who use AI tools occasionally. We need engineers who have fundamentally changed how they work: using tools like Claude Code and Windsurf daily, moving faster because of it, and bringing that AI-first mindset to everything from architecture decisions to code reviews.
 
 
 In this role, you&rsquo;ll make an impact in the following ways:
 
 
 <ul>
 <li>
 Analytical skills - understand the business problem first; leverage AI tools to accelerate solution design, not replace the thinking
 </li>
 <li>
 Initiative &amp; Ownership - run with tasks end-to-end, from scoping and prototyping to deployment, using AI-native tooling throughout - not just for coding, but across the entire workflow including design, testing, and documentation
 </li>
 <li>
 Build and contribute to AI-forward architecture standards - including prompt engineering patterns, agentic workflow design, and LLM integration guidelines
 </li>
 <li>
 Work with Product Owners, LOB stakeholders, and architects to design, prototype, and deliver AI-powered solutions spanning automation, workflow orchestration, and client-facing tooling
 </li>
 <li>
 Participate in code reviews with an AI-first lens - evaluating not just the code, but how effectively AI tooling was leveraged in the build
 </li>
 <li>
 Software engineering experience with demonstrable, recent use of AI-native development tools as a core part of daily workflow - not a side habit
 
 
 </li>
 </ul>
 To be successful in this role, we&rsquo;re seeking the following:
 
 
 <ul>
 <li>
 Required Skills
 </li>
 <ul>
 <li>
 Daily proficiency with AI coding tools such as Claude Code, Windsurf, Cursor, or GitHub Copilot - this is a baseline requirement, not a differentiator
 </li>
 <li>
 Python and/or Java for backend service development
 </li>
 <li>
 LLM integration experience - OpenAI, Anthropic, or equivalent APIs
 </li>
 <li>
 MCP, REST APIs, Microservices Architecture
 </li>
 <li>
 Cloud platforms - AWS, Azure, or GCP
 </li>
 </ul>
 <li>
 Preferred
 </li>
 <ul>
 <li>
 Agentic framework experience - LangChain, LangGraph, AutoGen, or similar
 </li>
 <li>
 RAG pipeline design and vector database experience (Pinecone, Weaviate, pgvector)
 </li>
 <li>
 Agile / SDLC tooling - Jira, Git, CI/CD pipelines
 
 </li>
 </ul>
 </ul>
 
 About Us
 
 
 
 At BNY, our culture allows us to run our company better and enables employees&rsquo; growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world&rsquo;s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
 
 
 Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance &ndash; and this is what is all about. Join us and be part of something extraordinary.
 
 
 
 About The Team
 
 
 
 At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom &amp; BNY LinkedIn
 
 
 
 Here&rsquo;s a Few Of Our Recent Awards
 
 
 
 <ul>
 <li>
 America&rsquo;s Most Innovative Companies, Fortune, 2025
 </li>
 <li>
 World&rsquo;s Most Admired Companies, Fortune 2025
 </li>
 <li>
 &ldquo;Most Just Companies&rdquo;, Just Capital and CNBC, 2025
 
 
 </li>
 </ul>
 
 Our Benefits And Rewards
 
 
 
 BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life&rsquo;s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
 
 
 BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
</div>

AI-Forward Software Engineer — AI Transformation Office, Senior Vice President

Ravio

<div>We help companies get compensation right.
What we get paid at work has a massive impact on our lives, and it&rsquo;s one of the biggest factors in hiring and retaining talent - and yet so many companies struggle to get it right. They simply have no choice but to rely on poor data and unsophisticated tools for their pay decisions. That&rsquo;s why we created Ravio.
We help many of the world&rsquo;s most innovative and ambitious companies build stronger teams and reach their goals through better compensation. Our real-time data platform brings compensation into the modern age, tracking the market across all compensation types from salary to equity and benefits.
Ravio is growing fast, which means you can too. We&rsquo;ve established ourselves as the European leader in our space serving more than 1,200 clients, and now have our sights set on becoming the global go to place for compensation data and tools for managing compensation.
Joining a startup and scaling it into a global product is one of the most challenging and rewarding experiences a career can offer. If that sounds exciting to you, you&rsquo;re in the right place. 
The role
We&rsquo;re looking for a Lead Software Engineer to join our engineering team and play a major role in our technical leadership during a significant platform shift.
Ravio is moving from a traditional SaaS posture to a platform built around agents - parent agents fronting our compensation data, specialist agents underneath, durable workflows, an MCP-based tool layer, and an eval harness to maintain consistency. You&rsquo;ll own architecture and technical design across the stack: the customer-facing web app, the agentic platform, and the shared infrastructure connecting them.
You&rsquo;ll bring system design depth - the kind that holds up under load, failure, and coordination across services and teams. You&rsquo;ll continue to raise the bar on code quality, reliability, and the technical decisions that shape what we ship.
This is a hands-on individual contributor role - leading technical decision-making and tackling the hardest problems we encounter. There are also upcoming opportunities to move into management as our company continues to grow, if you wish. 
Requirements<ul><li>
8+ years commercial engineering experience, with a track record of technical leadership during platform shifts - owning architecture, driving decisions, raising the bar through code review and design review, especially where LLM assisted engineering has become the standard</li><li>
System design depth as your headline strength. Concrete: durability and consistency under failure, multi-service orchestration, data platforms, performance and cost at scale, observability and ops fluency</li><li>
Senior-level fluency in TypeScript and Node, comfortable across the backend (PostgreSQL, GraphQL or HTTP APIs, GCP-shaped infra)</li><li>
Comfortable owning code in a distributed monorepo with multiple deployable services</li><li>
Ships fast under product pressure - we&rsquo;re moving from PMF to scale and the role needs that pace</li></ul>
Nice to have<ul><li>
Production experience with agentic systems - tool calling, multi-step orchestration, LLM evals.</li><li>
Workflow engines (Temporal, Cadence, Step Functions) - even if not Temporal specifically</li><li>
MCP, Anthropic SDK, or other LLM platform work</li><li>
Building developer platforms, internal SDKs, or framework-shaped surfaces</li><li>
Eval-driven development, prompt engineering at scale, LLM-judge harnesses</li><li>
React or another modern frontend framework</li></ul>
Our tech stack<ul><li>
Frontend<ul><li>
React</li><li>
Typescript</li><li>
GraphQL (Apollo Client)</li><li>
Playwright</li><li>
Jest</li><li>
Storybook + Chromatic</li><li>
Mantine</li><li>
GCP (Cloud Run)</li></ul></li><li>
Backend<ul><li>
Typescript</li><li>
PostgreSQL</li><li>
GraphQL Yoga</li><li>
Jest</li><li>
Auth0</li><li>
GCP (Cloud Run, Cloud SQL, Cloud Storage + more)</li></ul></li><li>
AI / agentic platform<ul><li>
Opus/GPT/Gemini/and many more model families</li><li>
Vertex/Bedrock/Foundry - Cloud deployed models</li><li>
Temporal - durable workflow engine</li><li>
MCP servers as the tool layer</li><li>
AI gateway (Bifrost) for logging, routing, governance</li><li>
Eval harness (Phoenix) - golden queries, LLM-as-judge</li><li>
Memory layer (Neo4j)</li></ul></li><li>
All the other good stuff<ul><li>
GitHub Actions</li><li>
Datadog</li><li>
Figma</li><li>
Slack</li><li>
Linear</li></ul></li></ul>
The opportunity at Ravio right now
From your perspective, there are three critical things to look for when evaluating this role: a company going places, a strong engineering culture, and a role that gives you a true opportunity to have impact as a technical leader.
Ultimately it&rsquo;s for you to decide whether that&rsquo;s true in our two-way street interview process. Here&rsquo;s a summary of where we are right now and what you can expect as a starting point.
There&rsquo;s a lot happening at Ravio right now. We&rsquo;ve just raised our Series A led by tier 1 US investors Spark Capital, and have acquired the benchmarking business of our competitor - Compete. We&rsquo;ve got new joiners starting almost every week, and we&rsquo;re rapidly expanding outside of our core markets in Europe. We need you to help us maintain our velocity and continue to build a scalable org and product.
Our core benchmarking product is at product-market fit, and we have a couple of new modules in the 0-1 phase. This means we&rsquo;re at an exciting stage that involves 0-to-1 building in some areas, and building for scale in others. That&rsquo;s true across the business, we&rsquo;re continuing to expand and experiment, while systemising and doubling down on what is already working well from our seed phase.
Beyond the core product, we&rsquo;re building Ravio&rsquo;s agentic platform - parent agents fronting our compensation data with specialist agents underneath, durable workflows on Temporal, an MCP-based tool layer, and an eval harness to maintain consistency. It&rsquo;s a platform engineering effort with the same care and rigour we apply to the rest of the product. A Lead engineer joining now would help shape the foundations of how Ravio&rsquo;s product is built for the next phase.
We&rsquo;d like to think Ravio is a great place to be a Lead engineer - we have technical leaders who know first hand the importance of creating space and focus for engineering teams to do their best work. And you&rsquo;ll be working alongside many accomplished and world class teammates, who are energised by the work they do and have a high bar for themselves and their colleagues.
Why join Ravio?<ul><li>
Shape an agentic platform from its early stages, with senior engineering peers and a high autonomy bar.</li><li>
Opportunity for fast-tracked professional growth at a scaleup backed by world-class investors alongside a smart, energetic team.</li><li>
Blend of IC work and leadership, giving you both hands-on impact and career growth.</li><li>
Remote-friendly, flexible work culture with a high degree of ownership.</li><li>
While we&rsquo;re very focused, we also know how to have fun in the process.</li><li>
Build a meaningful product that helps people get paid fairly and competitively in their careers.</li></ul><h2 class="jobSectionHeader">
Compensation &amp; benefits</h2><ul><li>
&pound;110,000 - &pound;150,000</li></ul><ul><li>
Company ownership (everyone gets a meaningful equity stake in Ravio)</li><li>
37 days paid time off (25 days holiday + 4 wellness days + 8 public holidays)</li><li>
Up to 6% pension matching scheme</li><li>
&pound;60 a month wellness allowance (Invest in your physical wellbeing, on us)</li><li>
&pound;500 per year Learning and Development budget</li><li>
Private healthcare cover (on a medical history disregarded basis) with AXA</li><li>
Personal worldwide travel insurance - just in case</li><li>
Income protection insurance (for full peace of mind in case you cannot work because of sickness or disability)</li><li>
16 weeks fully paid birthing parent leave, followed by 4 weeks at 50% pay. For non-birthing parents, we offer 8 weeks fully paid leave.</li></ul>
For more information about what we collect and how we use it when you apply for a role with us, please refer to our Candidate Privacy Notice
#LI-Hybrid
#LI-JC1
Compensation Range: &pound;110K - &pound;150K</div>

Lead Software Engineer

Compare The Market

<div>Senior Machine Learning Engineer &ndash; Customer AI
Function: Data &amp; AI Solutions
 
Location: Hybrid, London office 
Curious about what&rsquo;s next?
 
So are we. Join Compare the Market and help to make financial decision making a breeze for millions.
At Compare the Market, we&rsquo;re a purpose-driven business powered by tech and AI. We&rsquo;re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.
We&rsquo;ve carved a meerkat-shaped niche and we&rsquo;re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you&rsquo;ll fit right in. 
We&rsquo;d love you to be part of our journey.
Compare the Market is building AI systems that connect directly to how millions of people in the UK find and buy financial products - and as a Senior Machine Learning Engineer, you will play a central role in making those systems production-ready. That means owning the engineering that takes ML models and AI capabilities from experimentation into reliable, scalable production use: the pipelines, the deployment tooling, the monitoring, and the shared components that make the whole thing work.
This is a hands-on role with real technical scope. You will work closely with data scientists, engineers, and product teams - contributing to architecture decisions, raising engineering standards, and building the reusable tooling that raises the pace and quality of delivery across a fast-moving and expanding set of AI capabilities and systems. 
Some of the great things you'll be doing:
ML Engineering and AI Systems
<ul><li>Own the end-to-end delivery of production machine learning and AI solutions in collaboration with data scientists and product teams
</li><li>Design and build model pipelines for training, validation, and deployment using modern tooling (e.g. MLflow, Kubernetes)
</li><li>Contribute hands-on code to model packaging, deployment, and lifecycle automation
</li><li>Build systems that monitor model performance, drift, reliability and operational health in real time
</li><li>Support both batch and real-time ML workloads depending on use case requirements
</li>Work on emerging AI and LLM-powered capabilities, helping integrate modern AI techniques into production systems where they can deliver real user value 
<li>
</li></ul>Platform and Standards
<ul><li>Help evolve our internal ML and AI platform to support experimentation, governance, and collaboration
</li><li>Define and promote best practices for ML and AI system design, including reproducibility, testing, CI/CD, model and agent observability and evaluation
</li>Develop shared tools and libraries that accelerate safe, efficient, and scalable ML development 
<li>
</li></ul>Collaboration and Technical Leadership
<ul><li>Work closely with data scientists to productionise experimental models and turn prototypes into robust services
</li><li>Act as a technical mentor and code reviewer for other engineers and contributors
</li>Provide technical leadership across ML and AI initiatives, contributing to architecture discussions and design reviews 
<li>
</li></ul>Culture and Innovation
<ul><li>Contribute to a culture of engineering excellence, collaboration, and continuous learning
</li><li>Stay up to date on emerging tools and approaches in MLOps and applied AI, helping evaluate and adopt technologies where appropriate
</li>Support responsible AI practices, contributing to explainability, auditability, and fairness in ML systems 
<li>
</li></ul>What we'd like to see from you:
The Essentials
<ul><li>Hands-on experience with LLM-based systems: prompt engineering, RAG, tool use, or orchestration frameworks such as LangGraph or LangChain
</li><li>Familiarity with multi-step AI patterns - building systems where models plan, retrieve information and take sequences of actions
</li><li>Strong experience deploying ML models into production in cloud-native environments
</li><li>Solid software engineering skills in Python, with experience building scalable services, APIs, and production-quality code
</li><li>Experience with modern ML tooling and platforms (e.g. Databricks, MLflow, Airflow, Kubeflow, SageMaker, Vertex AI)
</li><li>Familiarity with CI/CD pipelines and infrastructure-as-code (e.g. Terraform, CloudFormation)
</li><li>Experience building robust, maintainable, and testable ML pipelines and APIs, including batch or real-time model delivery
</li><li>Strong understanding of ML lifecycle challenges - versioning, testing, monitoring, governance
</li>Excellent collaboration and communication skills, with experience working across data science, engineering, and product teams 
<li>
</li></ul>Nice to Have
<ul><li>Active personal use of AI-assisted or agentic coding tools, and an interest in how similar patterns could be applied to automate and accelerate ML engineering workflows - candidates who are exploring this space, even at an early stage, are encouraged to talk about it
</li><li>Experience in financial services, insurance or another regulated sector
</li><li>Experience deploying real-time or streaming ML models (e.g. Kafka, Flink, Spark Structured Streaming)
</li><li>Passion for automation, tooling, and building reusable systems
</li>Interest in responsible AI and ML model governance 
<li>
</li></ul>Why Compare the Market?
We&rsquo;re a business built for pace and performance. Here, you&rsquo;ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.
We believe diverse teams make better decisions, and we&rsquo;re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.
If you&rsquo;re ready to stretch yourself, raise the bar, and grow with a team that&rsquo;s serious about performance, innovation, and purpose, we&rsquo;d love to hear from you.</div>

Senior Machine Learning Engineer - Customer AI

Onsera Health

<div>
 
 The Challenge
 
 
 Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value.
 
 
 The Opportunity
 
 
 This is an opportunity to build the ML and AI foundations of Onsera Health's breakthrough healthcare platform. Backed by Population Health Partners (PHP)&mdash;the proven venture platform behind Metsera and Corsera Health&mdash;we're building the future of population health management.
 
 
 
 As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems.
 
 Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards.
 
 
 Responsibilities
 
 <ul>
 <li>
 
 Design and implement Onsera's agentic AI platform
 
 &ndash; architect LLM/agent framework selection, standardized patterns for tools, memory, guardrails, evaluation, and observability
 </li>
 <li>
 
 Define MLOps protocols for agentic systems
 
 &ndash; environment separation, versioning of prompts, tools, and policies, cost controls, rate-limiting, and fail-safe mechanisms
 </li>
 <li>
 
 Bridge data science and platform engineering
 
 &ndash; translate experimentation needs into GCP infrastructure, scalable compute patterns, and reproducible development environments
 </li>
 <li>
 
 Productionize data science code
 
 &ndash; convert research-grade notebooks into tested, modular, production-grade Python services, batch and streaming pipelines, and scheduled workflows
 </li>
 <li>
 
 Build production-grade data pipelines
 
 &ndash; develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run
 </li>
 <li>
 
 Implement CI/CD for ML workloads
 
 &ndash; automated validation, monitoring, rollback strategies, and model lifecycle management
 </li>
 <li>
 
 Establish reliability and governance
 
 &ndash; logging, metrics, tracing, data quality checks, and auditability for model decisions, data lineage, and agent actions
 </li>
 </ul>
 
 What We Offer
 
 <ul>
 <li>
 Mission-driven work addressing critical public health and healthcare economics challenges
 </li>
 <li>
 Ground-floor opportunity to build the ML/AI infrastructure for a breakthrough healthcare platform
 </li>
 <li>
 Partnership with a world-class team of industry leaders, innovators, technologists, bioscientists, and clinicians from PHP and beyond
 </li>
 <li>
 A fast-paced, dynamic, and highly collaborative work environment
 </li>
 <li>
 Competitive salary and benefits package, including participation in our equity program
 </li>
 </ul>
 
 
 
 
 Minimum Qualifications
 
 <ul>
 <li>
 5+ years of experience in machine learning engineering, data engineering, or a related field
 </li>
 <li>
 Strong Python engineering skills with production-quality, typed, and tested code
 </li>
 <li>
 Track record productionizing ML models in batch and/or real-time environments
 </li>
 <li>
 Hands-on experience with analytical data warehouses (BigQuery or equivalent) and workflow orchestration (Airflow or similar)
 </li>
 <li>
 Experience deploying ML systems on GCP, including Cloud Run, GCS, and IAM
 </li>
 <li>
 Infrastructure-as-Code experience (Terraform or equivalent)
 </li>
 <li>
 Experience with feature engineering, model lifecycle management, and ML evaluation
 </li>
 <li>
 Demonstrated ability to collaborate across Data Science, Product, and Platform teams
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience with LLMs, agent frameworks, or AI orchestration systems in production
 </li>
 <li>
 Familiarity with prompt management, tool calling, evaluation, and AI safety patterns
 </li>
 <li>
 Healthcare or regulated-industry experience, including familiarity with HIPAA or SOC-2 compliance
 </li>
 <li>
 Experience with claims data, EHR-derived datasets, or real-world evidence
 </li>
 <li>
 Strong written and verbal communication skills with technical and non-technical stakeholders
 </li>
 </ul>
 
 About Onsera Health
 
 
 We are an early-stage health AI company revolutionizing cardiometabolic care and population health economics connected to weight loss. Our unique position within the PHP ecosystem provides:
 
 <ul>
 <li>
 
 Venture track record:
 
 A proven track record of success in building biotech and healthcare companies
 </li>
 <li>
 
 Deep capital:
 
 Funding and resourcing to support deep tech and scientific R&amp;D&mdash;and to drive growth
 </li>
 <li>
 
 Strategic guidance:
 
 Direct access to industry pioneers (including founders of The Medicines Company and Metsera), healthcare experts (including leaders in virtual care, former FDA commissioners), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent
 </li>
 <li>
 
 Expert network:
 
 Established connections across pharma, payers, and providers
 </li>
 <li>
 
 Startup agility:
 
 Ownership in the venture, founder mentality, and ground-floor impact
 </li>
 </ul>
 
 About PHP
 
 
 Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera and Corsera Health.
 
 
 
 Leadership:
 
 Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare, and Roy Berggren, 30+ year McKinsey Healthcare leader.
 
</div>

Senior Machine Learning Engineer

Perk

<div>About Us
Perk (formerly TravelPerk) is the intelligent platform for travel and spend management. Built to tackle the time-consuming, manual work that gets in the way of real work, our tools automate everything from travel bookings to expenses, invoice processing, and more. By eliminating this shadow work that wastes hours, erodes morale, and saps innovation, we&rsquo;re on a mission to power real work, with real impact.
We&rsquo;re trusted by more than 10,000 companies worldwide, including Wise, On Running, Breitling, and Fabletics, and we&rsquo;re tackling the 7 hours of lost productivity per employee each week, a $1.7 trillion problem.
Founded in 2015, Perk has grown into a global company of more than 1,800 people across 12 offices globally, with headquarters in London and Boston. We combine innovation, control, and simplicity to transform how businesses work and how people feel at work.
At Perk, we&rsquo;re driven by our values, like being an owner, delivering a 7-star experience, and working as one team. We value curiosity, purpose, and mindset, not just knowledge, to unlock the power in your potential. Our talent team brings together leading minds from the travel and SaaS industries, representing over 70 countries. If you&rsquo;re excited about having a real impact and shaping how millions of people experience work, we&rsquo;d love you on the team.
Visit www.perk.com to learn more.
As a Senior Software Engineer on the Finance Experience team, you'll play a central role in delivering the systems that power seamless, automated expense reconciliation for Perk clients.
 
 
The team's mission is ambitious: to reconcile 100% of travel expense data for every client through a fully automated, accurate, and effortless accounting experience - eliminating manual effort for finance teams. You'll work across the full stack on features spanning employee reimbursements, expense capture, ERP integrations, supplier invoicing, and integrations with third-party expense platforms like Pleo and Ramp.
 
 
Through close partnership with finance, compliance, and cross-functional engineering teams, you'll help ensure that every step in the financial reconciliation journey works seamlessly. 
 
Are you a Senior Software Engineer who thrives on real ownership?
At Perk, we know that we feel most fulfilled when we can own the problem and the solution. This means taking responsibility for the entire lifecycle of a feature, from being part in understanding what our customers pains are with our product team, design documents, coding to deployment, and measuring impact. You will see how your technical decisions move the needle for our customers daily.
We prioritize autonomy and pragmatism, giving you the space to solve complex problems without unnecessary friction. Engineering excellence here is measured by the reliability and simplicity of the systems you build to power a global platform.<div> 
</div><h2 class="jobSectionHeader">
How we work</h2>
At Perk, we believe the best work happens when great people come together in small teams, with a shared sense of purpose. You'll join a cross-functional squad where you have real ownership of a piece of Perk&rsquo;s domains, a genuine say in what gets built, and the autonomy to make it happen. Each team to decide how to contribute to Perk&rsquo;s company goals. We care about impact, and we trust our people to deliver it.<div> 
</div><h2 class="jobSectionHeader">
AI at Perk</h2>
AI is embedded in how we work and what we build. On the engineering side, it spans the whole workflow: our Notion, Jira, GitHub and Slack are AI-connected so you get up to speed fast, and day-to-day it helps with specifying features, writing and reviewing code, and automated AI PR review on every pull request. When something goes wrong in production, AI surfaces context across systems quickly. We also embrace agentic coding, using AI as an active collaborator, not just a prompt-by-prompt co-pilot.
We expect candidates to use AI tools in our coding interviews. The bar is understanding your code and owning what you produce. That reflects how we work every day.<div> 
</div><h2 class="jobSectionHeader">
Some examples of what it means to be a Senior at Perk</h2><ul><li>
Shape the bigger picture. You won't just build features, you'll refine the what to build and why. At Perk, senior engineers are expected to go beyond the technical solution and focus on the problem itself. You'll contribute to your squad's quarterly goals and long-term vision alongside your Product Manager and Engineering Manager.</li><li>
Architect for today and tomorrow. When a big change is needed in how our platform works, you'll be the one writing the design documents that lay the foundation. You'll become a guardian of your team's technical quality; spotting areas of investment, proactively managing technical debt, and making sure we don't let &quot;busy work&quot; crowd out the work that truly matters. At Perk, we believe in impact over effort: our customers see results, not the hours behind them. Your job is to make sure we're always investing our energy where it counts most.</li><li>
Lead across boundaries. Your influence won't stop at your own squad. You'll communicate complex ideas across multiple teams, proactively identify who needs to be involved, and drive alignment across the broader organisation. Whether it's coordinating a cross-squad initiative, contributing to one of our engineering guilds (where engineers from different teams align on shared technical topics), or pairing with architects on solution discovery, you'll operate comfortably beyond your immediate team.</li><li>
Raise the bar for everyone around you. Senior engineers at Perk are mentors, coaches, and bar raisers. You'll support less experienced colleagues through direct mentorship, thoughtful feedback during reviews, and by modelling what great engineering looks like in practice. You'll help Engineering Managers understand where the team needs to grow technically, and you'll use spaces like guild meetings, design doc reviews, and pairing sessions to lift the overall standard. At Perk, we are a team, the team's success is your success.</li></ul><div> 
</div><h2 class="jobSectionHeader">
Desired skills and experience</h2><ul><li>
Product Leadership: Translates complex business goals into technical roadmaps; de-risks ambiguous projects through spikes and prototyping.</li><li>
System Architecture: Architects scalable, evolvable systems and data models that account for performance, failure isolation, and long-term maintenance.</li><li>
Technical Standards: Defines and upholds engineering excellence, including CI/CD optimizations, testing strategies, and coding standards across the stack.</li><li>
Frontend Strategy: Establishes frontend architecture patterns, including state management, performance budgets, and comprehensive testing (e.g., E2E/Cypress).</li><li>
Backend Excellence: Engineers sophisticated backend solutions involving API versioning, caching strategies, and complex data migration plans.</li><li>
Operational Maturity: Leads observability and SRE practices; defines SLOs, manages incident responses, and conducts blameless post-mortems.</li><li>
Security &amp; Risk: Oversees operational security, including secrets hygiene and dependency risk management, to ensure a hardened production environment.</li><li>
Mentorship &amp; Influence: Levels up the engineering organization through active mentorship, leading design reviews, and influencing the product roadmap with technical data.</li><li>
Cross-Functional Impact: Coordinates multi-team deliverables and aligns stakeholders to resolve technical blockers across the organization.</li><li>
AI-Driven Development: Experience with&mdash;or a strong interest in&mdash;modern AI-augmented workflows. This includes leveraging agentic workflows, developing custom agentic skills to extend AI capabilities, utilizing AI-powered code reviews...</li></ul>
How We Work
At Perk, we take an IRL-first approach to work, where our team works together in-person 3 days a week. As such, this role requires you to be based within commuting distance of our hubs. We fundamentally believe in the value of meeting in real life to improve connectivity, productivity, creativity and ultimately making us a great place to work.
For certain roles, we can help with relocation from anywhere in the world, English is the official language at the office. Please submit your resume in English if you choose to apply. Do not forget to submit an updated portfolio and/or resume.
Perk is a global company with a diverse customer base, and we want to make sure the people behind our product reflect that. We&rsquo;re an equal opportunity employer, which means you&rsquo;re welcome at Perk regardless of how you look, where you&rsquo;re from, or anything else that makes you, well, you.
Protect Yourself from Recruitment Scams
All official communication from Perk will always come from email addresses ending in @perk.com or @externalperk.com, our verified social media channels, or recruiters listed on our official LinkedIn page. We will never ask you to pay for equipment, training, or fees, request sensitive personal information such as bank details early in the process, or communicate through unofficial apps like WhatsApp, Telegram, or Signal. If you receive a message claiming to be from Perk that seems suspicious, please do not respond. Forward it to security [at] perk .com, and we will confirm whether it is legitimate. 
 
#LI-Hybrid</div>

Senior Software Engineer - Finance Experience

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