machine learning manager

Monzo

<div><div><p><b><i>We're on a mission to make money work for everyone.</i></b></p>
<p>
We're waving goodbye to the complicated and confusing ways of traditional banking.</p>
<p>
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.</p>
<p>
With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!</p>
<p>
We're not about selling products - we want to solve problems and change lives through Monzo ❤️</p></div><p></p><h4 class="jobSectionHeader"><b><br>
London/Cardiff/UK Remote | &pound;138,000 to &pound;176,000 + Incentive Awards tied to your performance +</b><b> </b><b>benefits</b><b> |</b><b> Hear from the team</b><b> ✨</b></h4>
<h4 class="jobSectionHeader"><b>About the role</b></h4>
<p>
Borrowing is one of Monzo's most important growth engines. We've built strong scale in the UK, and the next phase is even more ambitious: grow in the UK, expand into new customer segments, and build the underwriting capability needed to scale into Europe.</p>
<p>
We're looking for a <b>senior ML leader</b> to help shape that next phase.</p>
<p>
You'll lead a high-calibre team of ML scientists and help define Borrowing's ML roadmap across UK growth, new customer segments, and EU expansion. You'll work across underwriting, pricing, limits, and lifecycle decisioning &mdash; improving today's models while helping build the next generation of capability for Monzo.</p>
<p>
This role combines <b>near-term commercial impact</b> with <b>long-term strategic advantage</b>:</p>
<ul>
<li>improving performance across our range of products</li>
<li>unlocking new data and faster model development</li>
<li>helping Monzo build underwriting that scales into new markets</li>
<li>shaping how advanced ML and AI can create real value in Borrowing</li>
</ul>
<p>You'll partner closely with leaders across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence decisions that shape both business performance and the long-term architecture of credit decisioning at Monzo.</p>
<h4 class="jobSectionHeader"><b>
What you'll own</b></h4>
<ul><li>Borrowing ML roadmaps across UK optimisation, new customer segments, and EU expansion</li>
<li>Faster model improvement through new data and feature engineering</li>
<li>How Monzo uses Open Banking, transaction intelligence, and external data in credit decisioning</li>
<li>More portable underwriting capabilities across products, customer segments, and markets</li>
<li>Hiring, leading, and developing a high-performing ML team</li>
<li>Raising the bar on model quality, governance, tooling, and speed of iteration</li>
</ul><h4 class="jobSectionHeader"><b>What you'll be working on</b></h4>
<p>
Examples of the challenges you could help lead:</p>
<ul>
<li>Improving underwriting models across Loans, Flex, and Overdrafts</li>
<li>Expand the data we use in our models</li>
<li>Building better feature engineering and model shipping capability</li>
<li>Improving transaction intelligence for credit use cases</li>
<li>Developing underwriting capabilities for new customer segments and EU markets</li>
<li>Shaping Monzo's approach to advanced ML and AI</li>
</ul><h4 class="jobSectionHeader"><b>Our technology stack</b></h4>
<p>
We rely heavily on the following tools and technologies, although we do not expect applicants to have prior experience of all of them:</p>
<ul>
<li>Google Cloud Platform</li>
<li>BigQuery SQL and dbt</li>
<li>Python and the PyData stack</li>
<li>Google AI Platform</li>
<li>AWS</li>
<li>Python for ML services</li>
<li>Go for backend services</li>
<li>AI tooling for productivity</li>
<li>Google Workspace including Gemini</li>
<li>ChatGPT Enterprise</li>
<li>Claude Code</li>
</ul><h4 class="jobSectionHeader"><b>You should apply if</b></h4>
<ul><li>You want to shape the next phase of credit decisioning at one of Europe's most ambitious fintechs</li>
<li>You enjoy combining strategic leadership with strong technical judgment</li>
<li>You're excited by the intersection of underwriting, data, product, and platform capability</li>
<li>You like building teams as much as building models</li>
<li>You care about real customer and business impact</li>
</ul><h4 class="jobSectionHeader"><b>You must have</b></h4>
<h4 class="jobSectionHeader"><b>Credit and machine learning</b></h4>
<ul><li>Strong knowledge of machine learning, statistics, and decisioning systems</li>
<li>Deep experience in credit risk and lending</li>
<li>Experience building, deploying, and iterating credit models in production</li>
<li>Experience pushing the innovation frontiers of the credit industry</li>
</ul><h4 class="jobSectionHeader"><b>Leadership and delivery</b></h4>
<ul><li>Experience leading and developing senior ML scientists</li>
<li>Strong cross-functional leadership with Product, Credit Strategy, Engineering, and Validation</li>
<li>Track record of turning strategy into practical delivery in a regulated environment</li>
</ul><h4 class="jobSectionHeader"><b>It would be great if you also have</b></h4>
<ul><li>Experience across more than one market</li>
<li>Experience with advanced ML methods and AI on structured financial data</li>
</ul><h4 class="jobSectionHeader"><b>The interview process</b></h4>
<ul><li>30 min Recruiter Call</li>
<li>45 min Initial Call</li>
<li>60 min ML technical interview</li>
<li>60 min People Leadership interview</li>
<li>60 min Product / Credit ML interview</li>
</ul>
<p>All interviews will be conducted through Google Meet.</p>
<h4 class="jobSectionHeader"><b>
What's in it for you</b></h4>
<p>
 &pound;138,000 to &pound;176,000 ➕ plus stock options &amp; benefits</p>
<p>
✈️ We can help you relocate to the UK</p>
<p>
✅ We can sponsor visas</p>
<p>
This role can be based in our London office with a hybrid working pattern, or fully remote within the UK with occasional travel to London.</p>
<p>
 We'll set you up to work from home, including support for remote setups.</p>
<ul><li>We offer flexible working hours and trust you to work in a way that lets you do your best work.</li></ul>
<p>
 Learning budget for books, training courses and conferences</p>
<p>
➕ And much more &mdash; see our full list of benefits here<br>
<br>
#LI-DC2 #LI-Remote</p><p></p><div>
<p><b>
Equal opportunities for everyone</b></p>
<p>
Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report.</p>
<p>
We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.</p>
<p>
If you have a preferred name, please use it to apply. We don't need full or birth names at application stage</p></div></div>

Senior Machine Learning Manager, Borrowing

Compare The Market

<div><p><b>Machine Learning Engineering Manager</b></p><p><b>
Function:</b> Data &amp; AI Solutions<br>
<b>Location:</b> Hybrid, London office</p><p></p><p><b><br>
Curious about what&rsquo;s next?</b><br>
So are we. Join Compare the Market and help to make financial decision making a breeze for millions.</p><p>
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.</p><p>
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.</p><p><br>
</p><p><b>We&rsquo;d love you to be part of our journey.</b></p><p>
Compare the Market is at an inflection point. We are shifting from a business that answers data questions to one that builds the intelligence powering our AI systems and platform.</p><p>
As a Machine Learning Engineering Manager in our Data &amp; AI Solutions team, you will lead a team building and owning production systems at the heart of our AI platform. That means real-time inference APIs serving millions of customers, batch data products powering intelligent decision-making, and LLM-based agentic solutions spanning both customer-facing products and internal tools that shape how the wider team works. These are not simple systems - and building them well, keeping them healthy, and continuously raising the engineering bar is what this team exists to do.</p><p>
You will set technical direction, develop your team, and work closely with data, product, commercial and engineering colleagues to ensure the intelligence your team builds has a real effect on the business.</p><p></p><p><b><br>
Some of the great things you'll be doing:</b></p><p><b>
Leading Delivery of ML and AI Systems</b></p><ul><li>
Lead and develop a team of ML engineers, creating the conditions for them to deliver robust, scalable systems into production - spanning real-time inference APIs, batch data products, and LLM-based agentic solutions</li><li>
Collaborate closely with data scientists to move prototypes into high-quality production systems, maintaining quality and performance as complexity scales</li><li>
Drive team planning, estimation, and sprint delivery - ensuring projects are delivered on time and to a high standard</li><li>
Ensure every system your team ships connects to a real outcome and has a mechanism to improve over time</li></ul><p></p><p><b><br>
Growing Your Team</b></p><ul><li>
Develop your team of machine learning engineers through regular feedback, technical mentorship and honest career conversations</li><li>
Contribute to hiring, helping bring in people who combine technical rigour with curiosity and commercial awareness</li><li>
Foster a team environment where ambition and delivery reinforce each other</li><li>
Contribute to standards and practices across the wider Data &amp; AI Solutions chapter</li></ul><p></p><p><b><br>
Technical Leadership</b></p><ul><li>
Set the standard for ML and AI engineering quality, reproducibility, and production-readiness across your team - covering model pipelines, deployment tooling, system design, and lifecycle automation</li><li>
Take ownership of how the team approaches production health: knowing when a system is degrading, having a plan to address it, and ensuring monitoring and observability are built in from the start</li><li>
Contribute to the design and evolution of our ML and AI tooling and shared platform components</li><li>
Be hands-on in design sessions, code reviews, and architectural decisions where your input matters</li><li>
Guide your team through a fast-moving tooling landscape spanning classical ML, LLM-based systems, and agentic AI patterns - knowing when each is the right approach</li><li>
Champion responsible, auditable AI - particularly important in a regulated financial services environment where precision and explainability are non-negotiable</li><li>
Encourage and model the use of AI-assisted development tools within your team, and be actively curious about how automated coding and workflow tools can increase the pace and quality of your team's output</li></ul><p></p><p><b><br>
Stakeholder Partnership</b></p><ul><li>
Work closely with data, product, commercial and engineering leads to translate strategic priorities into well-scoped work</li><li>
Represent your team's work and capability to senior stakeholders, building confidence in what the team delivers and how it operates</li><li>
Help shape platform direction by feeding back requirements from applied ML delivery</li></ul><p></p><p><b><br>
What we'd like to see from you:</b></p><p><b>
The Essentials</b></p><ul><li>
Experience leading engineering teams focused on machine learning, ML platforms and AI systems</li><li>
Proven track record deploying and managing ML and AI systems in production at scale - including real-time inference, batch data products, and LLM-based solutions</li><li>
Strong Python and ML and AI engineering fundamentals - sufficient to assess your team's work and contribute directly when needed</li><li>
Understanding of infrastructure-as-code and CI/CD for ML systems (e.g. Terraform, GitHub Actions, ArgoCD)</li><li>
Clear communication: able to make technical work legible to commercial and product audiences</li><li>
Experience working in agile environments with clear accountability to delivery</li><li>
A degree in a quantitative discipline, or equivalent experience with production ML and AI systems - we are interested in what you can do, not where you studied</li></ul><p></p><p><b><br>
Highly Valued</b></p><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>
Understanding of experimentation at scale and the infrastructure needed to run it well</li><li>
Experience building or managing internal ML platforms, experimentation frameworks, or feature stores</li><li>
Interest in responsible AI and model governance practices</li></ul><p></p><p><b><br>
Why Compare the Market?</b></p><p>
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.</p><p>
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.</p><p>
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.</p></div><p></p>

Machine Learning Engineering Manager

reddit

<div><div><div><div><div><div><div><div>Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com.</div>
</div>
</div></div></div></div></div><p><b>Team overview:</b></p>
<p>
The Engagement Modeling Team at Reddit focuses on building machine learning models to drive on-platform user engagement with diverse media and content, with a focus on predictive modeling to improve interactions of click-throughs and video view-throughs. This role offers a unique opportunity to shape and scale Reddit's Ads prediction models, in alignment with our product goals and driving SoTA modeling advancement.</p>
<p>
This role is well-suited for a leader with deep machine learning expertise, strategic vision, and a collaborative mindset to engage with both technical and cross-functional stakeholders.</p>
<p>
We're a remote-friendly company, and this position is open to candidates anywhere in the U.S.</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li><b>Set Technical Vision and Strategy:</b> Define and execute a roadmap for engagement modeling, balancing innovative modeling approaches with business objectives.</li>
<li><b>Drive Technical Execution:</b> Oversee the model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness.</li>
<li><b>Lead and Mentor a High-Performing Team:</b> Recruit, mentor, and retain top ML talent, fostering a culture of growth, collaboration, and technical excellence.</li>
<li><b>Collaborate Cross-Functionally:</b> Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs.</li>
<li><b>Innovate in ML Architecture:</b> Implement and optimize model architectures tailored to engagement prediction, leveraging deep learning and advanced ML techniques.</li>
</ul>
<p><b>Candidate Profile:</b></p>
<p>
The EM will lead a diverse, high-impact team and will need to navigate and foster collaboration with various teams such as PM, DS, and engineering functions within Ads. Ideal candidates will have:</p>
<ul>
<li><b>People Management Experience:</b> Prior experience managing engineering teams with a strong emphasis on technical mentorship and team growth.</li>
<li><b>Set Technical Vision and Strategy:</b> Ability to plan and execute a long-term technical strategy aligned with business objectives. Define and execute a roadmap for conversion modeling, balancing innovative modeling approaches with business objectives.</li>
<li><b>Drive Technical Execution:</b> Oversee the model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness.</li>
<li><b>Lead and Mentor a High-Performing Team:</b> Recruit, mentor, and retain top ML talent, fostering a culture of growth, collaboration, and technical excellence.</li>
<li><b>Collaborate Cross-Functionally:</b> Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs.</li>
<li><b>Innovate in ML Architecture:</b> Implement and optimize model architectures tailored to conversion prediction, leveraging deep learning and advanced ML techniques.</li>
</ul>
<p><b>Required qualifications:</b></p>
<ul>
<li>At least 2+ of experience building and managing high-performing machine learning teams, ideally in the Ads domain. Will consider tech lead experience as well</li>
<li>Deep ML Expertise: Deep hands-on experience working with machine learning models and deploying them in large-scale production systems. Proven ability in training, evaluating, and deploying large-scale models.</li>
<li>End-to-End ML Lifecycle Experience: Proven ability in training, evaluating, and deploying large-scale models.</li>
<li>4+ years of hands-on experience with TensorFlow or PyTorch.</li>
<li>Strategic Thinking: Ability to develop and communicate a clear, compelling technical strategy that supports broader company objectives and addresses the needs of internal customers.</li>
<li>Impact-Driven Mindset: Passion for developing scalable, well-designed, and responsible AI solutions that drive business value.</li>
<li>Exceptional Communication &amp; Collaboration: Strong interpersonal skills and a collaborative mindset, with the ability to effectively communicate complex technical topics to diverse audiences and build strong relationships with cross-functional partners</li>
</ul><ul><li><b>Experience with Ads or Engagement Modeling is a plus.</b></li>
</ul>
<p><b>Perks and Benefits:</b></p>
<ul>
<li>100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)</li>
<li>Competitive salary and equity options</li>
<li>Comprehensive health benefits (medical, dental, vision) &amp; workplace perks (home office set up stipend etc)</li>
<li>Generous 401k matching</li>
<li>Flexible vacation policy</li>
<li>Paid parental leave (4+ months)</li>
<li>Family planning support</li>
<li>Paid volunteer time off</li>
</ul>
<p>#LI-AS1</p><p></p><div><p><br>
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.</p>
<p>
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.</p>
<p><i>
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</i></p></div></div>

Machine Learning Engineering Manager - Ads Engagement Modeling

Credit Acceptance

<div><p>Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we&rsquo;ve grown into a leading provider of used and new car financing across the country.
</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture!
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p>This role leads complex modeling initiatives and drives innovation in machine learning and data science. The Senior Manager designs and deploys advanced statistical and ML models that inform strategic decisions across credit risk, collections, and operations. While formal people management may not be required, the role demands strong leadership, deep technical expertise, mentorship, and business acumen to elevate the organization&rsquo;s analytics capabilities.
<p></p><p><b>Outcome and Activities
</b></p><p></p><ul><li>Lead the design and deployment of predictive models for credit risk, collections, and operations (Senior Manager
</li><li>Integrate advanced ML techniques (e.g., ensemble models, deep learning, NLP) (Senior Manager)
</li><li>Mentor and support junior and peer-level data scientists (Senior Manager)
</li><li>Promote adoption of modern data science tools and platforms (Senior Manager)
</li><li>Present insights to senior and cross-functional stakeholders (Senior Manager)
</li><li>Drive experimentation with emerging techniques (e.g., causal inference, GenAI) (Senior Manager)
</li><li>Define and execute the strategic roadmap for predictive modeling and machine learning (Director)
</li><li>Lead cross-functional initiatives integrating analytics to business processes (Director)
</li><li>Oversee development, deployment, and monitoring of high-impact models (Director)
</li><li>Serve as a strategic advisor to senior leadership on data strategy and innovation (Director)
</li><li>Represent Predictive Analytics in regulatory, audit, and governance forums (Director)
</li><li>Foster partnerships across the organization (Director)
</li></ul><p></p><p><b>Requirements:
</b></p><ul><li>Master&rsquo;s or Ph.D. in a quantitative field
</li><li>8+ years of experience in predictive modeling and analytics (Senior Manager)
</li><li>10+ years of experience in predictive modeling and machine learning (Director)
</li><li>6+ years of experience applying ML in production environments (Senior Manager)
</li><li>6+ years of experience leading strategic initiatives or mentoring senior-level peers (Director)
</li><li>Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS)
</li><li>Deep expertise in credit risk modeling and ML techniques (Director)
</li><li>Experience with cloud platforms and MLOps tools (Senior Manager)
</li><li>Thought leader with strong communication and stakeholder management skills (Senior Manager)
</li><li>Strong understanding of cloud architecture and model lifecycle management (Director)
</li><li>Proven ability to influence senior stakeholders (Director)
</li><li>Experience with regulatory compliance in financial services (Director)
</li></ul><p></p><p><b>Preferred:
</b></p><ul><li>Experience in consumer lending
</li><li>Experience with model governance, explainability, and responsible AI (Senior Manager)
</li><li>Experience with cloud platforms (AWS, Azure, GCP, etc.) and MLOps Tools (MLflow, Kubeflow, etc.) (Director)
</li></ul><p></p><p><b>Targeted Compensation:
</b></p><p>Senior Manager: $221,225 - $259,096 base salary + annual bonus plan
</p><p>Director: $250,513 - $292,265 base salary + annual bonus plan
</p><p></p><p>This position is not currently open to individuals who require sponsorship now or in the future to work legally for Credit Acceptance, such as H-1b / H-4 or F-1 OPT visa holders.
</p><p></p><p>#LI-Remote
</p><p>#zip
</p><p></p><p><b>Benefits
</b></p><ul><li>Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work
</li></ul><p></p><p><b>Our Company Values:
</b></p><p>To be successful in this role, Team Members need to be:
</p><ul><li>Positive by maintaining resiliency and focusing on solutions
</li><li>Respectful by collaborating and actively listening
</li><li>Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions
</li><li>Direct by effectively communicating and conveying courage
</li><li>Earnest by taking accountability, applying feedback and effectively planning and priority setting
</li></ul><p></p><p>To create an environment where people do their best work, we focus on the dimensions of Organizational Health. All leaders must:
</p><ul><li>Identify the Right People by recognizing top talent
</li><li>Set Clear Expectations by managing change and directing others
</li><li>Train team members and focus on developing talent
</li><li>Performance Manage by ensuring accountability and driving results
</li><li>Create the Right Environment by establishing trust and managing conflict
</li><li>Maintain the Right Number of team members needed to build an effective team
</li></ul><p></p><p><b>Expectations:
</b></p><ul><li>Remain compliant with our policies processes and legal guidelines
</li><li>All other duties as assigned
</li><li>Attendance as required by department
</li></ul><p></p><p><b>Advice </b>!
</p><p>We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application!<br>
</p><p></p><p><b>P.S </b>.
</p><p>We have great details around our stats, success, history and more. We&rsquo;re proud of our culture and are happy to share why &ndash; let&rsquo;s talk!
</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent.
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person&rsquo;s age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic.
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p>California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you.</p></div><p></p>

Senior Manager/Director, Predictive Modeling and Machine Learning

Affirm

<div><div><p>Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.</p></div><p>
Join Affirm as a Machine Learning Engineering Manager and become a pivotal part of our Repayment &amp; Recovery machine learning group. Specifically, you will manage a team of ML engineers that builds the models powering the post-origination side of the credit lifecycle using novel ML techniques and rich representations of data to predict repayment behaviour, prioritise and personalise collections, and minimise loss after a loan is originated.</p>
<p>
In this role, you will help shape the future of machine learning at Affirm. You'll partner with engineering, product, and risk leaders to design, implement, and scale advanced ML solutions that drive critical capabilities across the company. You will mentor engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long-term ML strategy.</p>
<p>
This role is based in Europe, with openness to candidates in the UK, Poland, or Spain.</p>
<p><b>
What you'll do</b></p>
<ul>
<li>Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects across repayment, collections, recovery, and loss mitigation.</li>
<li>Act as a force-multiplier through your definition and advocacy of technical solutions and operational processes.</li>
<li>Collaborate across teams in the product development lifecycle by partnering with product management, design, analytics, and risk to ensure technical sustainability, risks and trade-offs are well understood and managed.</li>
<li>Develop talent by providing feedback and guidance, and leading by example.</li>
</ul>
<p><b>What We Look For</b></p>
<ul>
<li>Bachelor's in a technical field with 8+ years of industry experience, including 3+ years managing engineers.</li>
<li>A background in financial services, specifically in credit / lending, with hands-on experience in post-origination modeling &mdash; collections, repayment, recovery, loss mitigation, early-warning or behavioural risk, or similar.</li>
<li>Proficiency in machine learning with experience in areas including tree-based models, transformers, deep learning, and agentic ML.</li>
<li>Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture.</li>
<li>You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.</li>
<li>This position requires either equivalent practical experience or a Bachelor's degree in a related field.</li>
</ul><h3 class="jobSectionHeader"><b>Compensation &amp; Benefits</b></h3>
<p>
Base Pay Grade - P</p>
<p>
Equity Grade - 7</p>
<p>
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.</p>
<p>
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidised medical coverage, dental and vision for you and your dependents.)</p>
<p>
Base pay range per year: &pound;142,000 - &pound;190,000</p>
<p>
Location: UK Remote</p>
<p><b>
 #LI-Remote</b></p><p></p><div><div><br>
<p>
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.</p>
<p>
We're extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:</p>
<ul>
<li>Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents</li>
<li>Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses</li>
<li>Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge</li>
<li>ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount</li>
</ul>
<p>We believe It's On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.</p>
<p>
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.</p>
</div>
<div><p>By clicking &quot;Submit Application,&quot; you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.</p></div></div></div>

Manager, Machine Learning Engineering (Repayment & Recovery)

TomTom

<div><div>We are seeking an experienced applied science manager or director with a specialized focus on HD mapmaking and Advanced Driver Assistance Systems (ADAS). If you are passionate about leveraging recent advancements in AI to enhance mapping technologies and contribute to the evolution of ADAS, we want to hear from you. This role requires a seasoned professional with a strong background in AI, leading applied science and engineering teams, driving innovation, and delivering scalable solutions</div>
<div></div>
<h3 class="jobSectionHeader"><b>What you'll do:</b></h3><ul>
<li>Lead and manage a team of Applied Scientists, Data Scientists, Software Engineers, ML Engineers dedicated to developing cutting-edge solutions for HD Map making and ADAS applications.</li>
<li>Foster a collaborative and innovative environment that encourages cross-functional cooperation within the team.</li>
<li>Define a compelling long-term vision based on the specific needs of our mapping and ADAS technologies.</li>
<li>Translate the vision into engineering roadmaps, guiding the team to deliver high-impact solutions.</li>
<li>Act as a technical supervisor, providing insights into scientific direction and technical design documents.</li>
<li>Steer development efforts to ensure alignment with the overall vision and optimize project delivery.</li>
<li>Recruit and develop top talent, offering technical and career development guidance to scientists and engineers.</li>
<li>Drive innovation within the team, pushing the boundaries of autonomy for both online and offline solutions</li>
<li>Serve as a practitioner and thought leader, contributing to the team's technical excellence</li>
</ul>
<div></div><h3 class="jobSectionHeader"><b>What you'll need:</b></h3><ul>
<li>Proven experience in building scalable AI/ML systems ideally in map making, autonomy or robotics.</li>
<li>Proficiency in programming languages such as Python and/or C++, and programming tools and deep learning frameworks.</li>
<li>An in-depth understanding of sensor data processing and multimodal sensor fusion, especially in working with Cameras and LiDAR.</li>
<li>Leadership experience in managing large teams of engineers and scientists, people managers.</li>
<li>Track record of hiring and mentoring engineers, with a successful history of developing junior members in their career.</li>
<li>PhD in Computer Science or related fields with a focus on Machine Learning</li>
</ul>
<div></div><div><b>What we offer<br>
</b></div><div></div><br>
<div>A competitive compensation package, of course.</div><div></div><div><br>
Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O&rsquo;Reilly and LinkedIn Learning.</div><div></div><div><br>
Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.<br>
</div><div></div><br>
<div>Work flexibility, where TomTom&rsquo;ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize. It&rsquo;s all about getting the best out of both worlds &ndash; we ask TomTom&rsquo;ers to come to the office two days a week, and the remaining three are free to be worked in either location.</div><div></div><div><br>
Improve your home office with a setup budget and get extra support with a monthly allowance.</div><div></div><div><br>
Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we&rsquo;re mapping.</div><div></div><div><br>
Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.</div><div></div><div><br>
Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world.</div><div></div><div><br>
Become a part of our inclusive global culture and have the chance to collaborate with a diverse community &ndash; we have over 80 nationalities at TomTom!</div><div></div><div><br>
Find out more about our global benefits and enjoy additional local benefits tailored to your location.</div><div></div><div><b><br>
Meet your team</b></div><div></div><div><br>
We are the ADAS &amp; ADS Product Unit, leading the production of TomTom&rsquo;s HD maps and ADAS technology.
</div><div>In a diverse team of applied scientists, engineers, data scientists, and more, equipped with a broad array of expertise, you&rsquo;ll collaborate on groundbreaking location-based technologies and applications.</div><div>
More specifically, you&rsquo;ll be at the forefront of the creation of advanced HD maps. You&rsquo;ll also help update these in real-time, ensuring our maps are pushing the world forward instantly. These maps will then go on to empower the largest car manufacturers, transportation giants, and major tech companies around the world.<br>
</div><div></div><br>
<br>
<div><b>At TomTom...</b></div><div></div><div><br>
You&rsquo;ll help people find their way in the world. In 2004, TomTom revolutionized how the world moves with the introduction of the first portable navigation device. Now, we intend to do it again by engineering the first-ever real-time map, the smartest and most useful map on the planet.</div><div></div><div><br>
Work with a team of 3,300+ unique, curious and passionate problem-solvers. Together, we&rsquo;ll open up a world of possibilities for car manufacturers, enterprises and developers to help people understand and get closer to the world around them.</div><div></div><div><b><br>
After you apply</b></div><div></div><div><br>
Our recruitment team will work hard to give you a meaningful experience throughout your journey with us, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews all the way through onboarding. To find out more about our application process, check out our hiring FAQs.</div><div></div><div><b><br>
TomTom is an equal opportunity employer</b></div><div></div><div><br>
TomTom is where you can find your place in the world. Every day we welcome, nurture and celebrate differences. Why? Because your uniqueness is what makes you, <i>you</i>. No matter your culture or background, you&rsquo;ll find your impact at TomTom. Research also shows that sometimes women and underrepresented communities can be hesitant to apply for positions unless they believe they meet 100% of the criteria. If you can relate to this, please know that we&rsquo;d love to hear from you.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Director Applied Science ADAS

Smiths Group

<div><b>Company Description</b><p><br>
Smiths Group designs, manufactures and delivers smarter engineering solutions for mission-critical applications, solving some of the world's toughest problems for our customers, our communities and our world. For over 170 years, Smiths Group has been pioneering progress by improving the world through smarter engineering.</p><p>
We serve millions of people every year, to help create a safer, more efficient and better-connected world, across four major global markets: Energy, General Industry, Security &amp; Defence, and Aerospace. Listed on the London Stock Exchange, Smiths employs 14,600 colleagues in over 50+ countries.</p><p>
This pioneering spirit continues to drive us today, underpinned by our powerful culture. Improving our world is what we do, how we think, and how we will continue to use our passion for technology and engineering to tackle our customers biggest challenges today and in the future. We're looking for people with curious minds. Who want responsibility and relish a challenge. Whether you're an experienced professional or just starting out, our global scale and focus on growth means we have some great career opportunities for you. There's never been a better time to join Smiths.</p><p>
Visit us at - www.smiths.com</p><b><br>
Job Description</b><p><br>
Job Purpose:</p><ul><li>
Establish, manage, and evolve the company's Data, AI and Automation processes, support senior management in developing and achieving the organisations strategic plan as well as the development and delivery of the data, AI and Automation capabilities.</li><li>
Oversee the development and use of data, AI and Automation systems, driving the adoption of a centralised standard of these solutions across Smiths Group and its divisions, actively promoting CoDe. capabilities.</li><li>
Solutioning innovative ways to organise AI and automation processes, including hands-on software development, through the creation and validation of algorithms, applications, neural networks, and other machine learning techniques. Provide leadership on the implementation of security &amp; authorisations best practice for accessing AI and Automation solutions.</li><li>
Work proactively with internal and key business partners that contribute to the delivery of analytic, AI models through projects and BAU, exploring new analytics and dashboard tools and where appropriate advice on new solutions that can improve the effectiveness of organisation.</li><li>
Help to solution, implement and maintain operating models that optimise onshore and offshore resourcing to create the maximum value for Smiths Group</li><li>
Manage and distribute workloads to the D&amp;A team members, balancing the key strengths of the D&amp;A team along with career aspirations, providing direction and day-to-day oversight, striving to deliver outstanding results.</li><li>
Take leading role in the growth of Team and support the development of D&amp;A and Divisional team members through coaching and mentoring Data</li></ul><p></p><p><b><br>
Responsibilities:
</b></p><ul><li>Design, deliver, and support Data, AI, and automation solutions, including analytics, models, dashboards, and related platforms.</li><li>
Own the roadmap for trusted data foundations across BIS and divisions, covering master/reference data, data quality, governance, cataloguing, traceability, and access controls.</li><li>
Provide technical and business leadership across data architecture, integration, visualisation, and emerging AI technologies, ensuring solutions are scalable, secure, and aligned to business needs.</li><li>
Establish and maintain effective data management policies, standards, and operational controls, including code promotion, platform administration, performance monitoring, and compliance with company and legal requirements.</li><li>
Partner with divisional and business stakeholders to shape requirements, resolve data issues, and enable adoption through documentation, training, and user support.</li><li>
Support team effectiveness through mentoring, workload and capacity visibility, regular reporting, and leadership of team engagement activities.</li></ul><br>
<b>
Qualifications</b><p><b><br>
Technical Knowledge, Skills and Abilities:</b></p><ul><li>
Educated to degree level or equivalent.</li><li>
Experience with machine learning, deep learning, NLP, and computer vision.</li><li>
Proficiency in Python, Java, and R</li><li>
Strong knowledge of AI frameworks such as TensorFlow or PyTorch.</li><li>
Experience in Data Science techniques and methodologies.</li><li>
Azure Datalake, Databricks, Python (Azure Reference architecture).</li><li>
Excellent problem-solving skills and ability to work in a team environment.</li><li>
Thorough and proven understanding of the principles of data security, management, and administration</li><li>
Proficient at digesting and analysing large amounts of data.</li><li>
Excellent understanding of data administration and management functions (collection, analysis, distribution etc.)</li><li>
Experience in working with offshore and onshore support model.</li><li>
Experience in working with information technology.</li><li>
Experience in BI tools (PowerBi, OBIEE, Tableau, QlickView etc).</li><li>
Good knowledge of SQL language and simple analysis techniques to profile data</li><li>
Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing</li><li>
Experience with Microsoft Azure a plus: Azure SQL Database, Analysis Services, Databricks, Data Lake, Logic Apps and Data Factory</li><li>
Understanding of Big Data technologies (Hadoop, Spark)</li><li>
Able to create rich visualisations that appropriately represent the underlying datasets.</li><li>
Review and align the reporting attributes against the Enterprise and conceptual data models</li><li>
Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data.</li><li>
ERP experience and implementations (nice to have) Excellent organisational and project management skills</li><li>
Passionate and curious about new technology and the tech industry</li><li>
Excellent verbal and written communication skills with the ability to interact at all levels within the Smiths Group</li><li>
General understanding of PaaS Concepts - ideally in MS-Azure</li><li>
Cloud BI experience could be an asset</li></ul><br>
<b>
Additional Information</b><p><b><br>
Diversity &amp; Inclusion:</b></p><p>
We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity.</p><p>
At no time during the hiring process will Smiths Detection, Smiths Group, nor any of our recruitment partners ever request payment to enable participation &ndash; including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career&rsquo;s website (Careers - Smiths Group plc)</p><div></div><p>
We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity.</p><p>
At no time during the hiring process will Smiths Group, nor any of our recruitment partners ever request payment to enable participation &ndash; including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career&rsquo;s website (Careers - Smiths Group plc)</p></div>

Data Lead - AI and Automation

Search 10000+ Machine learning manager jobs near you this July. New roles added regularly across leading industries. Apply today.