founder and chief technical officer

Voxquill

<div><p>I'm looking for our <b>founding engineer</b>!
<br>
The person who takes a live, paying fintech product and makes it truly ours.</p><p>
We build receipt-and-proof automation for the self-employed: the app quietly finds your receipts (email, bank feeds, camera roll, texts), sorts them, matches them to your bank transactions, and produces accountant-ready exports. It's live on iOS and Android, it's SOC 2 certified, and people are paying for it. The model works.</p><p>
I need one person who treats this codebase as theirs, ships fast, and owns the platform end-to-end. This is a founding engineer role with a <b>real path to CTO</b>.</p><p><b>
Your first job is to take the keys.</b>
<br>
Move the platform off the agency's Azure into ours, take custody of production, and the headline deliverable.
<br>
Build the automated test suite this codebase never had, with a CI/CD pipeline where a green build genuinely means &quot;safe to ship.&quot; Then you own the roadmap.</p><p><b>
How we build matters as much as what we build.</b>
<br>
We are not rebuilding an IT shop of tickets and manual QA.
<br>
Terrapin runs as an AI-native pod: Claude Code and agents do the repetitive work and produce tested, PR-ready changes; you own architecture, review, security, and the hard 20%.
<br>
AI gives you the velocity, your tests and pipeline are what keep that velocity from turning into breakage!
</p><p>We want to ship multiple times a week and almost never break anything, and hold our SOC 2 line the whole way. If that model excites you rather than worries you, you're the person.</p><p><b>
This is genuinely full-stack.</b>
<br>
Strong .NET / C# backend on Azure, real ownership of infra, security, and DevOps, and polished mobile (React Native + Expo, iOS and Android); Because the app <i>is</i> the product. Testing isn't someone else's job here. It's the core discipline.</p><p><b>
The kind of person whose teammates would describe as</b>:</p><ul><li><p>
an owner, not a ticket-taker</p></li><li><p>
obsessive about shipping quality fast</p></li><li><p>
calm owning production for a product with real money moving through it</p></li><li><p>
someone who builds automation instead of doing the same thing twice</p></li><li><p>
security-minded by instinct, not as an afterthought</p></li></ul><p><b>
What you'd bring:</b></p><ul><li><p>
Senior+ .NET / C# backend, PostgreSQL, solid API design</p></li><li><p>
Real Azure ownership: App Services, networking, Key Vault, identity, CI/CD (Azure DevOps or similar)</p></li><li><p>
Strong React Native + Expo mobile, with genuine UI/UX taste</p></li><li><p>
Test automation and CI/CD as a way of life &mdash; you write the tests with the code</p></li><li><p>
Hands-on building with Claude Code / agent tooling, and doing it safely in a SOC 2 world</p></li></ul><p><b>
Bonus points</b>: fintech / payments background, Plaid experience, or applied LLM work.</p><p>
And the reason the right engineer will actually stay: receipts are just the wedge. We're building toward a verifiable, tamper-evident record of an economic event. Proof that banks, insurers, and AI agents can consume directly. <b>Stripe is a payment rails. We're building proof rails.</b></p><p>
You'd work directly with me every day &mdash; 18+ years in fintech and payments, two exits behind me &mdash; so you own the engineering but never carry the hard architecture, security, or product calls alone.</p><p><b>
The details:</b>
<br>
UK or EU-remote(temporarily), with solid overlap to UK hours and business trips.
</p><p>We're genuinely open to strong candidates across both. Being open to relocating to the UK down the line is a plus, but not a day-one requirement.
<br>
Competitive base plus real founding-level equity.</p><p><b>
One hard line</b>: you build quality in through tests and CI/CD. We're deliberately leaving the manual-testing, hope-it-works world behind, and a dev who treats testing as optional isn't the hire. Everything else, we can talk about.</p><p>
If you want <b>founder-level ownership</b>, a CTO trajectory, and an AI-native way of building, and owning a live fintech platform from week one lights you up, <b>let's talk</b>.
</p><p>Apply and tell me about something you shipped that you're proud of, and one thing you broke and how you made sure it never happened again.</p></div>

Founding Engineer (Full Stack); Patch to CTO

White Circle

<div><h1 class="jobSectionHeader"><b>About White Circle</b></h1><p>
White Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies &ndash; simple natural-language rules that define what an AI model should and shouldn&rsquo;t do. We automatically test, enforce, and continuously improve these policies at scale.</p><ul><li><p>
We&rsquo;ve raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others</p></li><li><p>
We process over 100M+ API calls every month</p></li><li><p>
We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model</p></li></ul><p>
We&rsquo;re at a multi-million dollar run rate already having signed customers like Lovable and multiple neobanks. You&rsquo;ll be joining at the most exciting time - early enough that the equity can be life changing but at a point where demand has been proven.
<br>
<br>
We&rsquo;re a small, highly focused team. If you want to work deeply on hard problems and build the category-defining company in AI safety - this role is for you!</p><p></p><h2 class="jobSectionHeader"><b><br>
What You&rsquo;ll Do</b></h2><p>
Automate low-value work out of the commercial process so the Sales team can spend more time closing deals</p><ul><li><p>
Design and build the systems that power the how we find acquire, and retain customers (both outbound and inbound)</p></li><li><p>
Own the CRM: you make sure our data is clean, structured, and reliable</p></li><li><p>
Build internal tools, API integrations, and custom automation logic</p></li><li><p>
Have real ownership &amp; shape the playbook: what we build, use, how it fits together, and how it scales</p></li><li><p>
Design and deploy AI agents across the GTM motion (e.g., account research, pre-call intelligence, personalised outreach etc)</p></li><li><p>
Wire it directly into our operational systems so it changes how the team works</p></li><li><p>
Design the GTM data model (accounts, contacts and opportunities)</p></li><li><p>
Build and manage data pipeline, enrichment and integrations across the stack</p></li><li><p>
Build, ship and iterate fast</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What We&rsquo;re Looking For</b></h2><p>
Background &amp; Experience</p><ul><li><p>
2+ years of experience in GTM engineering, technical RevOps, or a growth role where you were building automations and pipelines</p></li><li><p>
Experience designing and scaling systems in a high-growth company</p></li><li><p>
Hands-on with modern GTM tooling - Claude Code, Clay, Apollo, Instantly, n8n or similar - you've built multi-step enrichment and sequencing workflows, not just set up a table</p></li><li><p>
Comfortable with Python or SQL well enough to work with data, call APIs, and build lightweight scoring or enrichment logic</p></li><li><p>
Top-of-funnel focused - you know how to build systems that generate qualified pipeline at scale, from ICP definition through to booked meetings</p></li><li><p>
Experience in programmatic SEO and AEO</p></li><li><p>
Analytical and experimental mindset: proven ability to design tests, measure impact, and iterate quickly.</p></li><li><p>
Proven AI deployment experience (e.g., automations, agents, workflows)</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What success looks like in the first 6 months</b></h2><p>
In your first six months, we would expect you to identify the highest-converting early segments, build a functioning outbound and follow-up engine, create clear messaging for one or two strong wedges, generate a meaningful pipeline of qualified conversations, and help convert early pilots or customers. Just as importantly, we would expect the company to understand its GTM motion far better because of your work.</p><p></p><h1 class="jobSectionHeader"><b>
Compensation &amp; Benefits</b></h1><ul><li><p>
&pound;80k-&pound;110k salary</p></li><li><p>
Meaningful equity package</p></li><li><p>
All the hardware, tools, and services you need</p></li><li><p>
Team off-sites twice a year: we&rsquo;ve recently been to the Alps and to Saint-Tropez</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
How we hire</b></h1><ul><li><p>
Intro call with HR</p></li><li><p>
Take-home exercise</p></li><li><p>
Interview with Head of Revenue</p></li><li><p>
Final call with our CEO</p></li></ul><p>
Compensation Range: &pound;80K - &pound;100K</p></div>

Founding GTM Engineer

Capital One

<div>White Collar Factory (95009), United Kingdom, London, London<p></p>
Data Scientist / Deep Learning Practitioner<p></p><p><b>
Job Title: </b>Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level</p><p><b><br>
Location:</b><b> </b>London or Nottingham</p><p></p><p><b>
Working Pattern:</b><b> </b>3 days in-office (Tuesday-Thursday) and 2 days remote.</p><p></p><p><b>
Our Mission</b></p><p></p><p>
We&rsquo;re on a mission to be a force for good in lending. Throughout our almost 30-year history, we&rsquo;ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK&rsquo;s Best Workplaces&trade; list. Hear from our team about what it&rsquo;s like working at Capital One UK.</p><p></p><p><b>
About the Role</b></p><p>
Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners.<br>
This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models.</p><p></p><p><b>
What you&rsquo;ll do</b></p><ul><li><p>
Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business.</p></li><li><p>
Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation.</p></li><li><p>
Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates.</p></li><li><p>
Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions.</p></li><li><p>
Work cross-functionally on projects that support key business initiatives and drive sustainable growth.</p></li></ul><p></p><p><b>
The skills and experience you'll need</b></p><ul><li><p>
Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers.</p></li><li><p>
Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.</p></li><li><p>
Familiarity with both pre-training and fine-tuning of large-scale models</p></li><li><p>
Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques.</p></li><li><p>
A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation.</p></li><li><p>
Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies.</p></li><li><p>
Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form.</p></li><li><p>
A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions.</p></li></ul><p></p><p><b>
Where and how you'll work</b></p><p>
This is a permanent position based in our Nottingham OR London office.</p><p>
We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days.</p><p>
Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar.</p><p></p><p><b>
What&rsquo;s in it for you</b></p><p>
We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to &pound;5,000 in funding for external qualifications.</p><p>
In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career:</p><ul><li><p>
Wealth &amp; Future: Competitive pension and performance-based bonus schemes</p></li><li><p>
Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days.</p></li><li><p>
Health: Access premium care through our private medical insurance.</p></li><li><p>
Family Support: We champion your milestones with enhanced parental leave.</p></li></ul><p></p><p>
A full list of our benefits is available here.</p><p></p><p><b>
What you should know about how we recruit</b></p><p>
We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it&rsquo;s about what you do, not just what you say. That&rsquo;s why we make our recruitment process fair and accessible.</p><p>
We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture&mdash;one that values diverse perspectives, fosters collaboration and encourages innovative ideas&mdash;and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business.</p><p>
Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates.</p><p></p>
Capital One is committed to diversity in the workplace.<p></p><p>
If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.</p><p></p><div><div><div><div><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p></p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p></p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div></div></div></div><b><br>
Who We Are</b><br>
<br>
At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.<br>
<br>
Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.</div>

Data Scientist / Deep Learning Practitioner

Chubb Insurance

<div><p><b>ROLE PURPOSE
</b></p><p>The Tech Risk &amp; Compliance Lead is a hands-on, execution-focused role within the EMEA IT Risk and Compliance function, responsible for the practical design, implementation and testing of SOX IT General Controls (ITGCs) across the EMEA technology estate, alongside supporting compliance with the wider European regulatory landscape including the General Data Protection Regulation (GDPR) and the Digital Operational Resilience Act (DORA). The role holder works directly with architects and application owners to build IT controls into systems, performs control design and operating-effectiveness testing, collects and reviews evidence, manages deficiencies through to remediation, and acts as the day-to-day interface to internal and external auditors (PwC), risk and data protection functions, and regional IT leads<br>
</p><p></p><p><b>KEY RESPONSIBILITIES<br>
</b></p><p></p><p><b>Control Design, Implementation and Testing
</b></p><ul><li><div>Design and document SOX-compliant control specifications for IT platforms - covering logical access, change management, computer operations and segregation of duties - and work with IT owners to implement them in production.
</div></li><li><div>Apply controls-by-design in practice: review designs, configurations and change requests against control requirements and confirm SOX, data protection and operational-resilience controls are built in before changes reach production.
</div></li><li><div>Plan and execute control design and operating-effectiveness testing across the ITGC portfolio, including sample selection, test execution, workpaper preparation, and conclusion on control adequacy.
</div></li><li><div>Maintain a detailed control inventory, test calendar and RACI for each control, and track identified deficiencies through root-cause analysis to validated remediation.<br>
</div></li></ul><p></p><p><b>Architecture Review and Controls by Design
</b></p><ul><li><div>Review infrastructure architecture documents, design proposals, and change requests to assess SOX control implications prior to implementation; engage at design stage with architects and engineers to embed ITGCs, preventing control gaps from being introduced through system design.
</div></li><li><div>Provide compliance input into cloud migrations, platform modernisation, database upgrades, and identity management programmes.
</div></li><li><div>Develop and maintain a controls reference framework as a practical design guide for architects and platform owners.<br>
</div></li></ul><p></p><p><b>Regulatory Control Implementation and Testing - SOX, GDPR and DORA
</b></p><ul><li><div>Embed GDPR technical and organisational controls (access control, encryption, logging, data retention and deletion, and audit trails) into infrastructure design and the ITGC framework, partnering closely with the Data Protection Officer and privacy function.
</div></li><li><div>Establish a consolidated regulatory control mapping so that a single, well-designed set of controls satisfies SOX, GDPR and DORA obligations, reducing duplication and control fatigue across the estate.
</div></li><li><div>Report on control implementation and testing status against regulatory requirements and track remediation of identified gaps through to closure.<br>
</div></li></ul><p></p><p><b>Advisory and Stakeholder Engagement
</b></p><ul><li><div>Act as compliance advisor to application owners, architects, and engineering teams on ITGC-compliant access models, change workflows, and operational procedures.
</div></li><li><div>Participate in architecture review boards and governance forums as the designated compliance representative; serve as primary contact for internal audit and PwC for all infrastructure-related SOX testing, evidence requests, and findings management.
</div></li><li><div>Provide structured reporting to senior leadership on compliance posture, open findings, and remediation status.<br>
</div></li></ul><p></p><p><b>Technology Risk and Continuous Improvement
</b></p><ul><li><div>Conduct periodic IT risk assessments and produce decision-ready risk reporting for senior management; assess compliance implications of new technologies and delivery models prior to adoption.
</div></li><li><div>Drive standardisation and continuous improvement of the infrastructure compliance programme; develop guidance materials and training for infrastructure and application teams.
</div></li><li><div>Operate effectively within an evolving regulatory environment, including GDPR, DORA, FCA requirements, and Lloyd's reporting obligations.</div></li></ul></div>
<br><div><p><b>EXPERIENCE
</b></p><ul><li><div>Minimum 5 years in IT compliance, IT external or internal audit, or technology risk within financial services, insurance, or Big 4.
</div></li><li><div>Proven ownership of SOX ITGC programmes including proactive monitoring and deficiency remediation.
</div></li><li><div>Track record of reviewing architectural artefacts from a compliance perspective and guiding technical teams on control implementation.
</div></li><li><div>Prior engagement with Big 4 external audit at a senior client-side level, or equivalent auditor-side experience.
</div></li><li><div>SOX ITGCs: logical access, change management, computer operations, and segregation of duties.
</div></li><li><div>Privileged access management tools: CyberArk and/or SailPoint.
</div></li><li><div>Infrastructure platforms: Windows Server, Linux/AIX, iSeries (AS400), Oracle Database, SQL Server, and DB2.
</div></li><li><div>Ability to critically assess architecture documents and identify control design implications.
</div></li><li><div>Working knowledge of EU regulatory frameworks affecting infrastructure, including DORA operational-resilience requirements and GDPR technical and organisational controls.<br>
</div></li></ul><p></p><p><b>QUALIFICATIONS
</b></p><ul><li><div>Required: Bachelor's degree in Computer Science, Information Technology, or a related discipline.
</div></li><li><div>Preferred: Certified Information Systems Auditor (CISA).
</div></li><li><div>A dvantageous: CRISC, CISM, or equivalent professional qualification<br>
</div></li></ul><div></div><h2 class="jobSectionHeader"><b>We offer in return!<br>
</b></h2><p></p><p>Competitive salary &amp; pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning &amp; development offerings, Employee Assistance program.<br>
</p><p></p><p><b>Integrity. client focus. respect. excellence. teamwork
</b></p><p>Our core values dictate how we live and work. We&rsquo;re an ethical and honest company that&rsquo;s wholly committed to its clients. A business that&rsquo;s engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that&rsquo;s collaborative and supportive.
</p><p>Diversity &amp; Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances.
</p><p>We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know.</p></div><div></div>

Tech Risk & Compliance Lead

Royal BAM Group

<div><div><div><h2 class="jobSectionHeader"><b>Building a sustainable tomorrow</b></h2>
</div><div><div><p>
What if your next step led further than you thought?<br>
With a reputation built over 150 years, BAM has the depth, scale and momentum to offer you more than a next step. We offer you a path. One that can take you across sectors, into leadership, or even around the world. We invest in development because we want our people to stay and grow. Wherever you want to go, we&rsquo;ll help you get there.</p></div><div><p>
BAM UK&amp;I are recruiting a UK &amp; I Data Director to join our Finance team from any UK office on a hybrid basis.</p></div><div><p>
The UK&amp;I Data Director for BAM UK &amp; Ireland is a senior role, responsible for the division&rsquo;s data strategy, governance, management and utilisation, focusing on turning data into a valuable company asset.</p></div><div><p>
The UK&amp;I Data Director will have the authority to recommend changes to divisional processes and, where appropriate, technology to achieve the above role objectives subject to BAM governance procedures.</p></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Making Possible</b></h2>
</div><div><p>
Senior executive leading enterprise data strategy, governance, and analytics for a major infrastructure contractor. Ensures data supports project delivery, financial performance, and regulatory compliance. Integrates project, cost, safety, people and environmental data to drive performance insight</p><p>
Degree in Data Science, Civil Engineering, Construction Management, or Business (often MSc/MBA) with a strong academic background and continuous professional development.</p><p>
Proven leadership of successful process and data transformation projects. Experience in managing and leading data management, reporting &amp; analytics teams. Proven success in developing enterprise-wide data and digital strategies within construction or infrastructure sectors. Demonstrated outcomes in improving project delivery, data quality, cost forecasting, and operational efficiency through data-driven decision-making.</p><p>
Deep understanding of European and UK data and construction standards &mdash; GDPR, ISO19650 (BIM), EU Taxonomy, CSRD, and national infrastructure digital frameworks. Ensures compliance with safety, environmental, and financial reporting requirements.</p><p>
Oversees integration of project, finance, procurement, and asset data across the enterprise. Fundamental understanding of core business processes, data and their associated technical solutions. Establishes data standards for cost control, planning, and performance reporting. Embeds automation and analytics in project controls and asset lifecycle management.</p><p><b>
Skills</b></p><p>
Works closely with project managers, finance leads, engineers, and IT to align data priorities with delivery and financial objectives. Works effectively as part of an executive team and is flexible to step in and assist whenever and wherever required.</p><p>
Champions digital transformation, automation, and process improvement across all project and corporate data workflows.</p><p>
Awareness of BIM, data governance, IoT data integration, cloud analytics, and AI applications in construction (e.g. predictive maintenance, safety analytics).</p><p>
Leads cultural change towards data-driven project management and decision-making.</p><p>
Supports upskilling in digital tools and data literacy.</p><p>
Working closely with the executive leadership especially the UK&amp;I Chief Operating Officer, Executive Director of Finance and the IT Director on data driven insights and strategic recommendations in a constructive, empowering and collaborative manner, examples may include data strategy, ROI of digital initiatives, and evidence-based performance management.</p><p>
Influences client and partner data collaboration standards.</p><p>
Creates clarity through dashboards, storytelling, and visual analytics; communicates data strategy across a dispersed and multidisciplinary workforce.</p><p>
Works effectively across all levels of the organisation to achieve shared goals and builds partnerships with technology vendors, joint venture partners, and clients to ensure interoperability and shared data value across the construction ecosystem.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Your team</b></h2>
</div><div><p>
This role can be based from any UK&amp;I office, with a hybrid working pattern of three days per week in the office.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What&rsquo;s in it for you?</b></h2>
</div><div><div>
In addition to an attractive salary we offer a significant benefits package which could include:<br>
<ul><li> Competitive salary</li><li> A wide range of family friendly policies</li><li> Private healthcare</li><li> Life assurance</li><li> 26 days holiday</li><li> 2 wellbeing days</li><li> 1 volunteering day</li><li> Personal and professional development</li><li> Flexible benefit pot</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>
The application process</b></h2>
</div><div><p>
BAM is committed to ensuring a fully inclusive recruitment and onboarding process, so if at any time you feel we need to do something to make it more accessible to you, do not hesitate to speak with one of our team, and we will do our best to support you.</p><p>
For more information or an informal conversation about this exciting career opportunity please contact Paul Howes, Recruitment Manager paul.howes@bam.com</p><p>
Closing date 15th July</p><p>
IND1</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What do you bring to the role?</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>About BAM</b></h2>
</div><div><p><i>
Building a sustainable tomorrow. That&rsquo;s our mission and our promise at BAM. It&rsquo;s how we engineer vital infrastructure and construct high-quality buildings as one of the largest construction companies in Europe.</i></p><p><i>
We strive to create an environment where everybody feels welcome and valued. We&rsquo;re on an exciting journey to employ the best talent to join us regardless of social background, race, colour, religion, national or ethnic origin, sexual orientation, gender identity or expression, age, disability or other characteristics.</i></p></div></div></div>

UK&I Data Director

The AA

<div><h3 class="jobSectionHeader"><b>Company Description/ Business Unit</b></h3><p><b>
Location: London (hybrid working 3 office days per week)</b></p>
<p><b>
Employment Type: Permanent, full time</b></p>
<p><b>
Additional Benefits: Annual Bonus</b></p>
<p>
Think the AA is just about roadside assistance? Think again.</p>
<p>
For over a century, we've been evolving and adapting. Today, as the nation's leading motoring organisation, we offer a wide range of products and services to millions of customers. From roadside assistance to home and motor insurance, and the latest driving technologies, we have it all. As we continue to expand, diversify, and modernise, joining us as a <b>Data Scientist </b>means you'll play a crucial role in our success and be part of this exciting motoring journey.</p>
<p>
Our Chief Operating Office (COO) are the backbone of The AA, providing both stability and structure to support growth and innovation. We are the drivers of change.</p>
<p>
#LI-Hybrid</p><h3 class="jobSectionHeader"><b>
This is the job</b></h3><p>
Data is one of the AA&rsquo;s biggest opportunities, and we are investing in the tools, platforms and AI capability to use it better. As a <b>Data Scientist</b>, you will help us turn complex data into practical solutions that improve how we forecast demand, optimise workforce deployment and support better decisions across our roadside operation.</p>
<p>
This role is particularly focused on demand and supply forecasting, using machine learning to help ensure the right patrol capability is available in the right place at the right time. You will work on real operational challenges linked to national workforce planning, resource optimisation, customer demand, service levels and operational performance.</p>
<p>
We are looking for someone who enjoys solving complex, real-world problems with data. You may have gained experience in organisations with large field-based, mobile or nationally deployed workforces, such as logistics, delivery, utilities, transport, airlines, emergency services, mobility or roadside operations. You will bring strong analytical thinking, practical data science capability and the confidence to translate technical insight into meaningful recommendations that help the business make better operational decisions.</p><h3 class="jobSectionHeader"><b>
What will I be doing?</b></h3><ul>
<li>Build and deploy statistical models and machine learning solutions to support forecasting, product development, value driver analysis and operational performance.</li>
<li>Use data mining, modelling and algorithmic approaches, including AI and LLM-enabled techniques where appropriate, to solve complex business problems.</li>
<li>Work with data, engineering, architecture and AI Centre of Excellence colleagues to design and embed scalable algorithms into AA platforms, products and channels.</li>
<li>Analyse trends, evaluate scenarios, assess risks and uncover insight that supports better business and customer outcomes.</li>
<li>Explore, onboard and use relevant data sources, ensuring data is appropriate, reliable and aligned to good data governance practice.</li>
<li>Communicate findings clearly through presentations, workshops and stakeholder conversations, translating technical insight into meaningful business recommendations.</li>
</ul><h3 class="jobSectionHeader"><b>What do I need?</b></h3><p>
We are looking for someone who can bring:</p>
<ul>
<li>Experience applying data science, machine learning or advanced analytics to demand forecasting, supply forecasting, workforce planning or operational optimisation.</li>
<li>Strong capability in Python, SQL and statistical modelling, with experience building practical models that support business decision making.</li>
<li>Experience working with complex operational data, ideally linked to mobile workforces, field operations, logistics, transport, delivery, utilities, emergency services, airlines, mobility or roadside operations.</li>
<li>The ability to turn ambiguous operational challenges into clear analytical questions, scalable models and actionable recommendations.</li>
<li>Strong communication skills, with the confidence to explain complex analysis clearly to technical and non-technical stakeholders.</li>
<li>An understanding of responsible data use, data quality and governance, with exposure to Databricks, Git, Jira, ML Ops, feature stores or data pipelines being beneficial.</li>
</ul><h3 class="jobSectionHeader"><b>Additional information</b></h3><p>
We&rsquo;re always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you&rsquo;ll have access to a range of benefits including:</p>
<ul>
<li>25 days annual leave plus bank holidays + holiday buying scheme</li>
<li>Worksave pension scheme with up to 7% employer contribution</li>
<li>Free AA breakdown membership from Day 1 plus 50% discount for family and friends</li>
<li>Discounts on AA products including car and home insurance</li>
<li>Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more</li>
<li>Company funded life assurance</li>
<li>Diverse learning and development opportunities to support you to progress in your career</li>
<li>Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family</li>
</ul>
<p>Plus, so much more!</p>
<p>
We&rsquo;re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.</p>
<p>
#LI-HH</p></div>

Data Scientist

PROXIMIE

<div><p>Proximie is on a mission to improve healthcare by transforming the world&rsquo;s operating rooms into connected ecosystems of people, devices, and data.</p><div><p>
Our Intelligence Suite transforms operating room (OR) performance, keeping teams in sync and workflows on track to maximise throughput. Simultaneously our computer vision and AI capabilities capture real-time data and detect surgical events &ndash; improving quality of data outputs. The result: ORs are optimised like never before &ndash; with predictive analytics and automated notifications ensuring patients and staff are in the right place at the right time.</p><p>
Once practitioners are in the OR, our Surgical Suite enables real-time remote access and creates a secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting-edge medical devices, and enhances surgical performance across the entire global workforce &ndash; improving outcomes and saving lives.</p><p>
Proximie was commercialised in 2019 and is available in over 500 facilities globally.</p><p>
Check out our Founder and CEO Nadine&rsquo;s Origins Story here: https://www.proximie.com/about-us/</p><p>
Position Overview</p><p>
As Proximie continues to turn every activity and event in the operating room into comprehensive, structured, and context-rich data that drives better insights and decisions making, using your deep technical expertise and real-world experience you will be instrumental in developing and deploying machine learning solutions that improve clinical outcomes, drive productivity and support Proximie&rsquo;s continuing evolution into the unrivalled champion of the intelligent operating room.</p><p>
You will work with multi-modal data (audio, vision, and language) to curate, consolidate, and augment retrospective and prospective datasets that fuel the development of advanced machine learning solutions. You&rsquo;ll harness the power of Proximie&rsquo;s deep data lakes and apply cutting-edge generative techniques to solve real-world challenges for Proximie&rsquo;s customers. You&rsquo;ll also lead the development of intelligent systems that can automatically detect and capture key events in the operating room, designing robust solutions that work across diverse and unpredictable data distributions, tackling challenges like identifying rare events buried in hours of surgical video.</p><p>
This role demands creativity, precision, and a deep understanding of real-world machine learning at scale. If you&rsquo;re excited by complex problems with life-changing impact and want to build tech that operates in the most critical environments, we&rsquo;d love to hear from you.</p><p>
Responsibilities</p><ul><li><p>
Collaborate with product, engineering and commercial teams to develop and deploy AI models for real world application in hospitals all over the world.</p></li><li><p>
Design, train and validate machine learning mono and multi-modal models using state of the art approaches.</p></li><li><p>
Develop models and derived tools robust to the heterogeneity of operating room environments. With customers all over the world operating rooms are often different which creates unique opportunities for problem solving and model design.</p></li><li><p>
Own the full model lifecycle including but not limited to data curation, model implementation, training, validation, deployment, and maintenance.</p></li><li><p>
Development within Proximie environment to enable dynamic model training and performance evaluation while integrating with Proximie&rsquo;s data lakes.</p></li><li><p>
Document solutions and contribute to internal knowledge sharing and capability building.</p></li></ul><div><p>
Requirements</p><ul><li><p>
PhD in a machine learning field such as computer science, data science, engineering, or a related field. Masters considered but PhD preferred.</p></li><li><p>
Minimum of 4 years&rsquo; hands-on experience in industry, developing and deploying AI solutions which solve real-world problems.</p></li><li><p>
Expertise in developing, training and fine-tuning machine learning and multi-modal models. Experience in training models with data originating from heterogeneous distributions is highly desirable.</p></li><li><p>
Deep knowledge of a variety of traditional machine learning, deep learning and generative AI methods for both supervised, self-supervised and unsupervised learning with an emphasis on vision.</p></li><li><p>
Proficiency with deep learning frameworks such as TensorFlow/PyTorch.</p></li><li><p>
Proficiency with Python and strong software development background.</p></li><li><p>
Knowledge and experience with AWS is highly desirable.</p></li><li><p>
Experience with MLOps practices, including versioning, deployment, and monitoring of models highly desirable.</p></li><li><p>
Ability to communicate complex technical concepts clearly to non-technical stakeholders.</p></li></ul><p>
Why Work for Proximie?</p><ul><li><p>
You will be encouraged to grow in your role, take ownership and gain responsibilities. Proximie&rsquo;s values are Ownership, Deliver Results, Build Trust and Go Beyond.</p></li><li><p>
Generous annual leave.</p></li><li><p>
Two &ldquo;well-being&rdquo; days per year plus the day off for your birthday.</p></li><li><p>
&ldquo;Summer Fridays&rdquo; &ndash; early office closing on Fridays during summer months.</p></li><li><p>
Annual bonus programme &ndash; based on individual contribution.</p></li><li><p>
To support your professional growth, all permanent employees will have access to an annual stipend of &pound;1,000 to assist with personal development activities.</p></li><li><p>
Flexible working hours - we trust our people to manage their time and to focus on wider results.</p></li><li><p>
A flat organizational structure where every opinion matters, ideas are cultivated, and innovation is encouraged.</p></li><li><p>
Proximie is a truly global company with teams across the UK, Europe, United States and the Middle East with that you will have opportunities to see the world.</p></li></ul><p>
Proximie is an equal opportunity employer. We are committed to providing a work environment that supports, inspires, and respects all individuals. We do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under the law.</p></div></div></div>

Senior Machine Learning Engineer

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