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software engineer data infrastructure acquisition cambridge united kingdom

Speechify

<div>The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do
<ul>
<li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline</li>
<li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.</li>
<li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.</li>
<li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>BS/MS/PhD in Computer Science or a related field.</li>
<li>5+ years of industry experience in software development.</li>
<li>Proficiency with bash/Python scripting in Linux environments</li>
<li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)</li>
<li>Experience with web crawlers, large-scale data processing workflows is a plus</li>
<li>Ability to handle multiple tasks and adapt to changing priorities.</li>
<li>Strong communication skills, both written and verbal.</li>
</ul>
What we offer
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

Software Engineer, Data Infrastructure & Acquisition - Cambridge, United Kingdom

Grundfos Pumps

<div></div><div><div>Are you a pragmatic SaaS engineer who thrives on building data pipelines that turn raw data into insights that prevent real-world infrastructure failures? Then join us in our mission to pioneer smarter solutions for moving and transforming water, reducing energy consumption, and enhancing quality of life for people. 
As our new Senior Product Development Engineer, you will be designing and developing cloud-based analytics framework components that process diverse data sources into actionable insights &mdash; from data import and cleansing through calculation pipelines to dashboards that predict critical events such as sewage overflows in pump and pipe systems. 
This role is located in our Cambridge office. 
What you will be doing
As a key part of the Analytics Platform Engineering team, you'll create impact by building the intelligent analytics framework that empowers utilities worldwide to prevent infrastructure failures before they happen, protecting communities and the environment. 
Your main responsibilities include: 
<ul><li>
Architect and develop framework components and calculation pipelines for our cloud-based analytics product (MAP platform)</li><li>
Implement data import, cleansing, and processing workflows that transform third-party and internal data into meaningful insights</li><li>
Resolve production bugs and work through the engineering backlog to improve platform reliability and performance</li><li>
Collaborate closely with your small scrum team to deliver iterative releases, incorporate customer feedback, and continuously improve the product</li><li>
Build and maintain predictive analytics features such as overflow alerts for sewage pumps and pipes</li><li>
Contribute architectural decisions that ensure the platform scales reliably in a real cloud environment</li></ul> 
What makes you a great fit 
Above all, you are a hands-on, pragmatic cloud software engineer with real-world experience shipping and maintaining production systems &mdash; someone who has been through release cycles, handled upgrades, responded to customer feedback, and knows what it takes to get the job done. 
We would also imagine that you have: 
<ul><li>
5+ years of experience in software product development with cloud-based systems (design, build, deploy, and maintain)</li><li>
Strong skills in building data processing pipelines &mdash; including data import, transformation, cleansing, and calculation workflows</li><li>
Demonstrated experience with architectural design of scalable framework components in a production environment</li><li>
Proven ability to work autonomously in small agile/scrum teams and deliver iterative releases</li></ul> 
It is a plus if you also have 
<ul><li>
Experience with analytics or IoT platforms, particularly in utilities, water management, or industrial domains</li><li>
Familiarity with dashboard development and alert/notification systems</li><li>
Background working with third-party data integrations and building extensible framework products</li></ul> 
Why you will love working here 
We care! Day to day, you can look forward to: 
<ul><li>
A working environment built around your needs, with flexible hours, home working opportunities and parental support.</li><li>
Annual bonuses, health insurance and a strong focus on well-being activities.</li><li>
Three days' additional paid leave for volunteering in your community.</li></ul> 
We are inclusive! Celebrating and valuing our differences helps us see possibilities where others can't. 
Are you ready to unlock possibilities at Grundfos? Apply today!
To get to know us better, follow us on LinkedIn or visit grundfos.com</div></div>

Senior Product Development Engineer

AVEVA

<div>AVEVA is creating software trusted by over 90% of leading industrial companies.<div>
Job Title: User Researcher &amp; Research Ops Coordinator</div><div><div>
Location: Cambridge, United Kingdom (Hybrid)</div><div>
Employment Type: full-time (contract for 12 months)</div><div> 
The job</div><div>
We are looking for an enthusiastic and dynamic user researcher and research ops coordinator to join the user research &amp; experience team at AVEVA. You will join a team that researches user experiences across the whole portfolio of industrial software products in different industries and markets. The role focuses on generating robust, defensible user insight to inform strategic, tactical, and operational decisions across multiple teams, systems, and user types. In addition to performing research, you will be supporting the research operations across the UX team.</div><div> 
Key responsibilities</div><div><ul><li>
Plan and conduct user research across complex enterprise ecosystems and multiple time zones.</li><li>
Manage recruitment across studies including consent, scheduling, registration, and attendance.</li><li>
Analyse qualitative and quantitative research at scale, synthesising insights across teams, products, and programmes.</li><li>
Produce, edit and upload digital content including audio-visual material onto research portals.</li><li>
Communicate complex findings clearly to senior stakeholders and decision‑makers.</li><li>
Manage user research tools including research repositories, booking systems etc..</li><li>
Support and mentor UX team members to conduct research.</li></ul></div><div> 
Essential requirements<ul><li>
Demonstrable experience conducting user research in large‑scale, enterprise or complex organisational contexts.</li><li>
Strong synthesis skills, translating complex data into actionable insight.</li><li>
Excellent communication skills with experience working across multiple teams and influencing without direct authority.</li><li>
Self-motivated, able to demonstrate a flexible approach to work, both independently and as part of a global team</li><li>
Capable of multi-tasking, meeting deadlines and working in a fast-paced environment.</li></ul>
Desired skills and competencies<ul><li>
Experience in B2B or Enterprise environments.</li><li>
Some working knowledge of other languages</li><li>
Prepared to travel when possible</li></ul></div><div> 
R&amp;D at AVEVA</div><div>
Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.
Our track record of innovation is no fluke &ndash; it&rsquo;s the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.
Find out more: aveva.com/en/about/careers/r-and-d-careers/</div></div> 
UK Benefits include:
Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program. 
It&rsquo;s possible we&rsquo;re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. 
Find out more: aveva.com/en/about/careers/benefits/ 
Hybrid working
We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process. 
Hiring process
Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process. 
Find out more: aveva.com/en/about/careers/hiring-process 
About AVEVA
AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life &ndash; such as energy, infrastructure, chemicals, and minerals &ndash; safely, efficiently, and more sustainably. 
We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/ 
Find out more: aveva.com/en/about/careers/ 
AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria. 
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.</div>

User Researcher & Research Ops Coordinator

CMR Surgical

<div>About CMR Surgical
At CMR Surgical, we're revolutionising the future of minimal access surgery with Versius, our next-generation surgical robotic system. We're growing fast, and were on a mission to transform how surgery is delivered globally for the benefit of patients, clinicians, and healthcare systems.
Our valuesAmbitious, Humble, People-Focused, and Fair &amp; Responsible define our approach to innovation, partnership, and growth. If you believe in making a meaningful difference in healthcare and want to be part of a purpose-driven company with bold ambitions, now is the time to join us.
CMR is an exciting and evolving company to be joining right now. Our commitment to our goal of building a world-class medical devices company is underpinned by the ground-breaking innovation of our next generation of surgical robots and a diverse team of talented and supportive individuals.
Were breaking new ground which makes working here exciting, it provides autonomy, opportunity and makes the things you do visible. Come and join us and see what youre capable of.
About the Role
Were looking for a Senior Software Engineer to join CMR Surgical and help us build the data platforms, services, and infrastructure that enable more patients to benefit from minimal access surgery using the Versius Surgical System.
Youll join our Data department, where we work with telemetry streaming from hundreds of devices around the world and build platforms and products that support surgeons and teams across the business. The technical breadth of what we tackle is wide and varied from event-driven data pipelines, cloud infrastructure, microservices, databases, and data warehouses, to digital products, data analysis, and AI models.
We care deeply about outcomes and always keep the real-world impact of our work in mind. Youll be working on systems that genuinely matter, alongside people who value engineering quality, collaboration, ownership, and continuous learning.
This role is ideal for someone who enjoys solving complex data and software engineering problems, can take ownership of technical decisions, and wants to help build reliable, scalable, and maintainable systems that make Versius data available for a wide range of use cases across CMR.
This is a hybrid role, with a minimum of 1 day per week in our Cambridge office, plus additional time on-site when needed.
Responsibilities
As a Senior Software Engineer, youll play a key role in designing, building, maintaining, and improving the services and infrastructure that make Versius data available across CMR. Youll work on systems that need to be reliable, scalable, secure, and maintainable, while helping other engineers grow and supporting teams across the business to unlock value from data.
You will:<ul><li>
Design, build, and improve data pipelines that help us understand real use of Versius in the hospitals.</li><li>
Develop high-quality software, primarily using Python, to support data processing, cloud services, APIs, and internal platforms.</li><li>
Work with event-driven and streaming data architectures on AWS to make data available with low latency for a wide range of use cases.</li><li>
Take ownership of services and technical areas, helping work progress through the full software development lifecycle from understanding the problem, through design and delivery, to operation and continuous improvement.</li><li>
Contribute to the design and evolution of existing and new systems, making pragmatic technical decisions that balance quality, speed, cost, reliability, and long-term maintainability.</li><li>
Build and operate cloud-native data solutions using AWS services, Infrastructure-as-Code, containers, databases, data lakes, and related technologies.</li><li>
Promote high-quality engineering practices across the team, including clean code, testing, code reviews, CI/CD, observability, documentation, and knowledge sharing.</li><li>
Collaborate with a wide range of stakeholders across the business, including Product, R&amp;D, Clinical, Commercial, and other engineering teams, to understand real-world needs and translate them into robust technical solutions.</li><li>
Help make data available to support analytics, AI research, product development, operational insight, and a deeper understanding of how our systems are used in the field.</li><li>
Coach, mentor, and support other engineers, helping raise the technical capability of the team through teaching, pairing, feedback, and thoughtful technical leadership.</li></ul>
Wed expect you to be willing to turn your hand to anything within the Data Team that helps the team deliver its objectives.
About You
Youre someone who enjoys solving complex problems, building reliable systems, and working collaboratively to create software and data platforms that make a real difference.
To be successful in this role, youll need to have/be:
<ul><li>Strong software engineering experience, with a proven ability to design, build, operate, and improve data pipelines.</li><li>
Proficient in Python this is our main language and one of our core tools.</li><li>
Experience with event-driven, streaming, or asynchronous architectures, and understands the trade-offs involved in building these systems.</li><li>
Experience with cloud infrastructure, ideally AWS, and is comfortable working with Infrastructure-as-Code and modern cloud-native engineering practices.</li><li>
Cares about engineering quality, including writing code that is understandable, testable, observable, and built to last.</li><li>
Can communicate clearly with both technical and non-technical stakeholders, helping to understand needs, explain trade-offs, and gain alignment.</li><li>
Enjoys collaboration and knowledge sharing, and is comfortable coaching, mentoring, or supporting other engineers.</li><li>
Is adaptable and open to working across different types of problems as the team, platform, and products evolve.</li><li>
Is excited by the idea of building software and data platforms that benefit patients and have real-world impact.</li></ul>
Why Join Us?
We offer a competitive salary and a great benefits package including a bonus, pension, healthcare and enhanced global parental leave pay.
Interested? Wed love to hear from you!
This role requires candidates to have eligibility to work within the UK. 

 
Strictly no agencies</div>

Senior Software Engineer, Data Platform

CommonAI C.I.C.

<div>CommonAI CIC is a non-profit membership organisation, founded on a belief in collaborative engineering for the safe and responsible development of foundational AI technologies. A place where AI startups, enterprises large and small, public sector bodies and academia can share resources and knowledge, to codevelop and grow businesses, fast.
We are led by experienced founders, investors and engineers who believe that collaborative engineering drives faster AI innovation and are backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems.
The Opportunity
We're seeking a highly skilled Software Engineer to work on Panopticon, a new AI framework equipped with stringent control and compliance protocols. Aimed primarily at highly regulated sectors such as financial services and healthcare, Panopticon is a core component of our High Assurance programme. It is designed to enable AI systems to be used safely in high-risk environments where accuracy, explainability, and accountability are a hard requirement.
Panopticon is written in Rust, leveraging its memory safety and performance characteristics to build a robust, secure infrastructure that provides mathematical proof of correct outputs, sandboxed execution, and intelligent filtering.
As an AI-first company, we strongly believe in collaborative engineering powered by the tools we are helping to build. This role places a major emphasis on using LLMs, AI coding assistants, and autonomous agents for software development.
What You'll Do<ul><li>
Design, build, and maintain core components of the Panopticon framework using idiomatic Rust.</li><li>
Develop secure execution environments, multi-model validation pipelines, and intelligent filtering systems to prevent data leakage and policy violations.</li><li>
Extensively utilise LLMs, AI agents, and advanced coding copilots to write, test, and refactor code, actively seeking ways to accelerate feature development and deployment without compromising on quality.</li><li>
Architect systems that integrate safely with foundation models and user environments, ensuring strict compliance and governance frameworks are adhered to.</li><li>
Review AI-generated code for security, performance, and correctness, establishing CI/CD pipelines optimised for AI-assisted workflows.</li><li>
Collaborate with CommonAI&rsquo;s members to translate theoretical compliance protocols into production-ready software.</li></ul> 

Requirements 
<ul><li>
Proven experience building systems in Rust and familiarity with the ecosystem&rsquo;s best practices.</li><li>
Strong understanding of software architecture, systems programming, and secure coding practices.</li><li>
Direct experience and high proficiency in using LLMs and AI agents for software development (e.g., prompt engineering for code generation, experience with tools like Cursor, GitHub Copilot, or bespoke autonomous agents for code review and iterative development).</li><li>
Familiarity with the challenges of deploying AI in enterprise environments (e.g., security vulnerabilities, regulatory risk, auditability).</li><li>
Ability to debug complex software systems and optimise for latency, safety, and scalability.</li><li>
Strong problem-solving skills and a passion for redefining how software is written using AI.</li></ul>
We also value:<ul><li>
Background in highly regulated industries such as financial services, banking, or healthcare.</li><li>
Familiarity with formal verification, applied cryptography, or verifiable compute.</li><li>
Experience with sandboxing technologies (e.g., WebAssembly/Wasm, lightweight VMs, containers).</li><li>
Understanding of modern AI tooling, foundation model APIs, and deployment pipelines.</li><li>
Contributions to open-source Rust projects or AI development tools (please include links to relevant projects, GitHub repositories, or technical blogs in your application).</li></ul>
Ideally, you will have a background in building critical infrastructure, combined with a forward-looking mindset eager to push the boundaries of AI-assisted engineering. 
Benefits 
Benefits<ul><li>
A collaborative and supportive work environment</li><li>
The opportunity to have a high impact in a growing organisation</li><li>
Competitive salary package and pension</li><li>
Professional development opportunities</li><li>
Networking opportunities with influential people from across the tech sector, financial services, and academia</li><li>
A vibrant office environment located a few minutes' walk away from Cambridge train station</li></ul>
CommonAI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace.</div>

Software Engineer (Rust)

Secondmind

<div>We are managing this recruitment internally and respectfully request no agency inquiries. 
 
Secondmind is an Equal Opportunity Employer committed to fair, equitable treatment throughout the recruitment process and beyond. We actively champion applications from all backgrounds because we believe the best work happens when people can bring their authentic, original, and best selves to the team. If you require accommodation or assistance throughout the interview process due to a disability, please contact hr@secondmind.ai 
we are happy to help. 
About Secondmind 
 
Secondmind builds data-efficient Engineering AI software that helps teams make better design and performance optimization decisions faster. Our product reduces simulation and testing requirements without compromising quality, accelerating development and enabling more sustainable engineering teams. 
Our positive working culture is founded on a collaborative environment that encourages teamwork and innovation. We foster open communication and cross-functional collaboration, enabling diverse teams to work together to solve complex challenges. Our flexible workplace plan ensures a healthy work-life balance, accommodating various working styles and personal needs, whether through remote work options or adaptable schedules. 
We also prioritize personal and professional growth by offering development opportunities, including training and mentorship. This nurturing environment empowers our employees to thrive, continuously learn, and contribute meaningfully to advancing system design and calibration with our data-efficient machine learning solutions. 
Founded in 2016 and supported by investors such as Mazda Motor Corporation, Amadeus Capital, Atlantic Bridge and Cambridge Innovation Capital, Secondmind was recently listed in the Barclays Eagle Labs Ones to Watch AI:100. As well as being recognized with the Automotive Testing Technology International 'Alternative Powertrain Test Innovation of the Year Award 2024'; selected for the Tech Nation Future Fifty scale-up program, and named by Bloomberg as one of the UK&rsquo;s 25 Startups to Watch 2024. 
About the role 
 
 
You'll play a crucial role in a dynamic, agile team, heavily contributing to the design, implementation, and maintenance of our cloud-based SaaS products. As a Team Lead, you will combine deep technical expertise with people management, guiding a talented team of engineers, fostering their professional growth, and championing industry best practices across the engineering discipline. This role is ideal for someone who thrives in a fast-paced environment, has a passion for building robust, maintainable software, and excels at mentoring others to achieve engineering excellence. 
What will you be responsible for? 
People Leadership &amp; Management 
<ul>
<li>
Squad Leadership: Act as a 'squad lead', taking accountability for cross-functional team leadership and actively managing the workflow, delivery, and alignment of different disciplines within your squad.</li>
<li>Line Management: Act as the direct line manager for software engineers, conducting regular 1:1s, managing performance, and supporting career progression.</li>
<li>Coaching &amp; Mentoring: Actively coach and mentor team members, helping them develop their technical capabilities, engineering skills, and professional growth.</li>
<li>Team Culture: Foster an inclusive, collaborative team environment aligned with Secondmind&rsquo;s core values, promoting psychological safety and open feedback.</li> 
</ul>
Discipline Leadership &amp; Engineering Practices 
<ul>
<li>
Industry Best Practices: Act as a discipline lead to establish, champion, and enforce modern engineering best practices, including robust code quality, comprehensive testing frameworks.</li>
<li>Develop and Maintain Software: Build and maintain production-quality cloud-based SaaS products. Write high-quality, maintainable software and adhere to security best practices.</li>
<li>Technical Governance: Drive design discussions and comprehensive code reviews, ensuring the team delivers reliable, scalable, and secure cloud solutions.</li> 
</ul>
Project Delivery &amp; Collaboration 
<ul>
<li>Lead Projects: Lead the implementation and delivery of complex projects, breaking down requirements into manageable tasks, and delivering valuable increments despite challenging deadlines.</li>
<li>Cross-Functional Collaboration: Collaborate closely with Product Management to translate strategic product requirements into elegant, working software.</li>
<li>Hybrid Working: Be present in the Cambridge office as part of our hybrid working environment</li> 
</ul>
What skills, experience, and qualifications do you need to succeed in this role? 
Essential
<ul>
<li>Software development experience in a commercial environment, including experience building and maintaining large-scale cloud-based SaaS products running in production.</li>
<li>Proven experience in line management, team leadership, or serving as a technical discipline lead.</li>
<li>Strong background in coaching and mentoring engineers of varying experience levels, with a track record of leveling up team capabilities.</li>
<li>Experienced with agile working practices, iterative development, and the full software development life cycle.</li>
<li>Proven ability to deliver projects against challenging deadlines, lead complex projects, and deliver value incrementally.</li>
<li>Self-motivated, enthusiastic, and adept at identifying and solving problems. Proven ability to work effectively alongside others, emphasizing constructive feedback and continuous improvement.</li> 
</ul>
Our Technical Stack 
We prioritize fundamental engineering principles over specific tool familiarity. Our current environment includes:
<ul>
<li>Core: Python (Backend) and TypeScript/React (Frontend).</li>
<li>Infrastructure: GCP, Docker, Kubernetes, Terraform, Jenkins, and GitHub Actions.</li>
<li>Data &amp; Storage: PostgreSQL and Google Cloud Storage (GCS).</li>
<li>Observability: ELK Stack, Prometheus, and Grafana.</li> 
</ul>
What will help you thrive as a Team Lead 

Our engineers do not just simplify problems - they make deep technical complexity navigable, scalable, and secure. You will thrive here if you possess deep technical expertise, are genuinely curious about cloud architectures, and feel comfortable driving technical governance and design discussions in a room full of specialists.

We value leaders who are self-motivated, adept at solving problems, and capable of forming and defending architectural views while remaining open to constructive feedback and continuous improvement. 
We value leaders who broker thoughtful compromises, hold their position when it comes to maintaining robust code quality and secure best practices, and let go when a pragmatic, iterative approach delivers value faster. 
You will excel if you influence using both cognitive and emotional intelligence - bringing positive energy to the team, promoting psychological safety, and passionately coaching, mentoring, and line-managing engineers to support their career progression. 
We thrive together in a highly collaborative environment. We hire talented, genuinely helpful people who create a workplace where it&rsquo;s safe to ask when you don&rsquo;t know something or raise concerns when you spot a problem. 

Our culture - What we can offer you 


We offer a working environment that is inclusive, stimulates innovation and continuous learning, and that thrives on growth and change. 


Our culture is underpinned by our values; they are what we stand for, part of our DNA. They help us to attract and retain the right talent and customers, help us make the right decisions and clarify how we should all behave and treat one another, they are: 

<ul>
<li>Delight every customer (Customers)</li>
<li>No bar too high (Excellence)</li>
<li>Give more than take (Sustainability)</li>
<li>Make the impossible, possible (Innovation)</li>
<li>Celebrate differences, act as one (Inclusion)</li> 
</ul>
We also offer a number of benefits including: 
<ul>
<li>Competitive salary - reviewed annually</li>
<li>25 days annual leave, plus statutory bank holidays</li>
<li>TGIF: The last Friday of every month is a half day for our employees</li>
<li>Enhanced family leave policies</li>
<li>Salary Sacrifice Pension Scheme</li>
<li>Life Assurance of 4x salary</li>
<li>Private Medical Insurance</li>
<li>Eyecare Policy</li>
<li>Dental Cash Plan</li>
<li>Stock Options (where applicable)</li>
<li>Free 24 hour access on-site gym</li>
<li>Discount Shopping &amp; Wellbeing Platform</li>
<li>Employee Assistance Programme</li>
<li>Values Award Scheme</li>
<li>Cambridge Botanic Garden membership</li>
<li>Social events, game nights and sports groups</li></ul></div>

Team Lead - Software Engineering

Microsoft

<div>Overview 
For our Microsoft Research Cambridge location, we are seeking highly motivated candidates to work on multimodal generative AI systems for dynamic and interactive environments (e.g. gaming and creative media), as well as real-world workflows. Our work focuses on developing systems that model and adapt to evolving environments, capturing how user actions and context change over time to support continuous processes such as creation and collaboration.
Successful applicants will work alongside prominent researchers, engineers, and experts across machine learning, HCI and design; and drive deep research insights to support the development of novel AI systems, leveraging our unique datasets and multi-node GPU infrastructure. This work is grounded in close interdisciplinary collaboration, bringing together diverse perspectives to advance ambitious research goals.
Candidates may come from either a Machine Learning modelling-focused background (e.g. multimodal generative modelling, world models, sequential prediction) or a Machine Learning systems-focused background (e.g. agentic workflows, orchestration, tool-using systems, training and evaluation pipelines) and should be excited about connecting these perspectives.
This is an exceptional opportunity for a recent graduate or an early career researcher to join a collaborative and interdisciplinary team and generate high impact in the form of product transfers and publications. We have an ambitious agenda, and we are passionate about learning and solving problems together. Working with the world's best researchers and research engineers at Microsoft Research, this role gives you the opportunity to contribute to open research challenges in generative AI for interactive environments whilst broadening your area of expertise and continuing to grow into an established research leader. 
 
When submitting your application, please include a list of publications in your CV. You may also include links to examples of your published work.<ul><li> 
Location: Cambridge, UK</li><li>
Contract Length : 2 Years</li></ul> 

Responsibilities 
<ul><li>
 As a part of the team, you will be working with world-class researchers, engineers and design experts, to create novel generative AI models and capabilities that support creative processes. .
</li><li>Collaborate to implement and evaluate new approaches, both conceptual and practical, within existing or new emerging cross-company collaborations.
</li><li>Contribute to the team&rsquo;s goals by generating novel ideas, implementing prototypes, running experiments, utilizing multi-node GPU infrastructure, and rigorously evaluating all ideas with an open mindset.</li><li>
Design efficient experimentation workflows to accelerate research iteration across the team.</li><li>
Share knowledge and learn from others, participating in design decisions, presenting your ideas, doing pair programming, reviewing code, etc.
</li><li>Help to continuously improve our ways of working and the quality of our work, giving constructive feedback, understanding other points of view, suggesting new processes, etc.
</li><li>Distill insights into effective communications, such as research papers and presentations, or other forms of communications (for example blog posts) to reach technical and general audiences.</li></ul> 

Qualifications 
Required/Minimum Qualifications:<ul><li>
Master&rsquo;s or PhD degree in Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing, or a related field, OR equivalent experience.</li><li>
Research experience in deep learning, including understanding state-of-the-art model architectures, data pipelines, and methods of evaluation.
</li><li>Research experience in at least one of the following or related areas: Generative models (video and world models, diffusion, autoregressive models, controllability), multi-modal modelling, training and fine-tuning large multimodal models or AI systems for multi-step interaction, such as agentic workflows, orchestration, tool-using systems, memory, or adaptive workflows</li><li>
Hands-on knowledge of deep-learning frameworks, with strong software engineering practices and a commitment to writing clean, maintainable and well-tested code.</li><li>
Experience publishing academic papers and/or demonstrated impact through ML research tooling or open-source contributions.</li></ul> 
Preferred/Additional Qualifications:<ul><li>
Experience scaling deep learning workloads to maximise responsible utilization of multi-node GPU clusters.</li><li>
Experience designing or implementing AI workflows, such as automated training, evaluation, or experimentation pipelines</li><li>
Familiarity with game engines or creative AI tooling and/or experience applying AI in interactive settings</li></ul> 
 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.</div>

Cambridge Residency Programme: AI Researcher in Interactive Generative AI systems

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