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Manager Machine Learning
USA
Full Remote in the USA
Up to 230K base + bonus + equity

The Company:

This is a technology company operating in the e-commerce fraud prevention space. Using machine learning and AI, businesses in this sector help online retailers approve more legitimate transactions while taking on the financial risk of fraud themselves. It is a high-impact, data-driven environment where ML is core to the product – not a supporting function.

The Role:

• Lead and develop a team of 4-7 machine learning engineers, supporting career growth, running 1:1s, and building a psychologically safe, high-performance culture
• Own a portfolio of experiments end to end – from prioritising hypotheses and allocating resource through to evaluating results rigorously and shipping release candidates
• Balance near-term model improvement targets against longer-horizon research bets, re-cutting priorities as evidence comes in
• Partner directly with Risk stakeholders as your primary internal client, operating with a high degree of autonomy and defending your team’s direction with data
• Represent your team’s results to engineering leadership, Risk leaders, and the broader business

The Profile:

• 5+ years in machine learning, data science, or ML-adjacent engineering, with at least 2-3 years of direct people management experience
• Strong technical depth in applied ML and statistics – able to read evaluation pipelines, interrogate results, and distinguish signal from noise
• Player-Coach mentality: comfortable being in the weeds technically while also holding accountability for team delivery and quantitative KPIs
• Not a big-company process manager – you should be able to defend a roadmap, run rigorous experiments, and lead senior ICs, not just execute a ticket queue
• PhD or Master’s in Computer Science, Statistics, or a quantitative field strongly preferred; domain experience in payments or fraud is a bonus but not required

Unfortunately, this company is not able to offer visa sponsorship or relocation support at this time.

If you believe your profile matches what we’re looking for, simply apply and attach your most recent CV – I’ll be in touch if it’s a match.

We receive a high volume of interest across all our roles, so unfortunately we’re not able to give individual feedback to everyone. If you haven’t heard back within 15 days, your profile hasn’t been shortlisted on this occasion.

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Machine Learning Engineering Manager
USA Remote $200,000 – $240,000 base + bonus + equity

A high-impact Machine Learning Engineering role focused on building and scaling production systems for real-time decisioning. You will manage a team of 4 and own end-to-end ML pipelines, working on models that directly drive commercial outcomes at scale, as well as contribute to ML research within the AI Lab.

The Company

They are a fast-growing technology business operating in the e-commerce and payments space, processing large volumes of real-time transactions. Machine learning sits at the core of their product, with strong investment in infrastructure and experimentation. Teams own services end to end, enabling engineers to drive meaningful technical impact.

The Role

* Build and deploy production-grade ML models for real-time systems
* Design scalable ML pipelines and infrastructure for high-throughput environments
* Develop offline experimentation and evaluation frameworks
* Improve model performance through statistical methods and feature engineering
* Work with distributed systems and large-scale data processing
* Partner with cross-functional teams to deliver ML solutions aligned to business needs
* Own the full lifecycle from experimentation to production and monitoring

Your Skills & Experience

* Strong commercial experience in Machine Learning Engineering
* Expertise in Python, SQL, and distributed frameworks such as Spark
* Deep understanding of model evaluation, experimentation, and statistics
* Experience building scalable ML systems from first principles
* Team leadership experience

What They Offer

* $200,000 – $240,000 base salary + bonus + equity
* Fully remote working in the US
* Unlimited paid time off and flexible working
* Comprehensive health and financial benefits, including 401k
* Learning budget and clear ownership of high-impact systems

How to Apply

Apply now to explore this Machine Learning Engineering opportunity.

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AI Product Director

Location: Hybrid – San Francisco Bay Area, ~2-3 days/week onsite

About the Role

This is the senior AI leadership seat within Risk & Analytics, reporting directly to the VP of Risk Data Science and working alongside the Director of TPM, at a regulated, revenue-generating lending business undergoing a company-wide shift to AI-driven decisioning. The organization already has production-grade AI agents live in credit and underwriting, built on nearly two decades of proprietary credit data and is now extending that AI-first approach into Sales, Customer Lifecycle, Finance, and Capital Markets.

You’ll act as the senior thought partner to the VP of Risk Data Science, leading product design and roadmapping across multiple AI transformation initiatives. This is the priority hire on a growing AI team: you’ll manage two AI Product Managers, oversee 2-3 concurrent pods, and be accountable for selecting the right engineering partner for each initiative. This is a hands-on leadership role you’ll have been in the architecture room shaping AI solution design, not just managing delivery, and you’ll be expected to run several concurrent initiatives without dropping quality.

What You’ll Do

• Serve as senior thought partner on product design and roadmapping, working closely with executive sponsors
• Lead and mentor two AI Product Managers across multiple concurrent pods
• Oversee the full project cycle: SME discovery, 0→1 process reimagination, design brief authorship, and managed build/adoption
• Select and manage the right engineering partner for each initiative (internal product engineering plus external vendors)
• Ensure QC and evaluation frameworks are in place before any AI output reaches end users
• Track impact and productivity/outcome gains against pre-implementation baselines
• Maintain awareness of relevant regulatory considerations (e.g., FCRA/ECOA/Reg B) as AI is applied to lending workflows

What We’re Looking For

Required:

• 8-12 years of experience, with a proven track record taking AI products from concept to production
• Fintech background strongly preferred
• Practitioner-level AI fluency comfortable discussing agentic patterns, evals, and golden datasets
• Experience at a smaller, fast-moving fintech, payments, or tech company (large enterprise or big tech backgrounds are not a fit)
• A track record of reimagining a business process using AI 0→1 not simply layering AI onto an existing workflow
• Demonstrated experience authoring specs or design briefs that engineering partners built to
• Experience managing external engineering vendors against a defined scope
• Strong executive presence and stakeholder management a track record of building trust with SMEs, functional heads, and executives

Nice to Have:

• Direct experience with regulatory frameworks in consumer lending (FCRA/ECOA/Reg B)
• Prior people-management experience leading product managers

Compensation & Benefits

Base Salary: Up to $300,000

Additional:

• Relocation assistance considered for candidates who need it
• Hybrid work model, 2-3 days/week onsite

To Apply for this Job Click Here

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AI Product Manager

Location: Hybrid – San Francisco, CA, ~2-3 days/week onsite

About the Role

This role sits within Risk & Analytics, alongside the VP of Risk Data Science and the Director of TPM, supporting a company-wide shift to AI-driven decisioning in a regulated, revenue-generating lending business. The organization has already moved AI agents into production across credit and underwriting, built on nearly two decades of proprietary credit data – and is now extending that AI-first approach into Sales, Customer Lifecycle, Finance, and Capital Markets.

You’ll be embedded in a pod, partnered with a data scientist, and assigned to a single business area where you’ll own the 0→1 reimagination of a business process end-to-end from discovery through design, build management, QC, and adoption. This is a hands-on role, not a strategy-only seat: you’ll be expected to run discovery sessions yourself, author the design briefs an external engineering partner builds to and manage that partner day-to-day without ever letting them define scope.

What You’ll Do

• Lead SME discovery sessions to map how a process actually works today, baseline current metrics, and surface undocumented edge cases and workarounds
• Reimagine the process from the ground up (0→1) and author the design brief that an external engineering partner builds against
• Recommend the engineering partner and own the go/no-go decision
• Manage the partner day-to-day against the brief, ensuring they never redefine scope
• Design the QC framework alongside your pod’s data scientist before the build starts – no output reaches end users without QC review
• Run the shadow run, build the adoption plan with the relevant functional head, and track impact against baseline

What We’re Looking For

Required:

• 3-5 years in product management or a closely related role, with direct exposure to AI-enabled products – not just general software delivery
• Experience at a smaller, fast-moving fintech, payments, or tech company (large enterprise or big tech backgrounds are not a fit for this role)
• A track record of reimagining a business process using AI, done 0→1 – not simply adding AI to an existing workflow
• Demonstrated ability to author specs or design briefs that others have built to, and to structure an undefined problem without waiting for direction
• Enough AI fluency to hold a substantive conversation with an engineering partner and identify when a proposal doesn’t match design intent (engineering depth not required)
• Bachelor’s degree required

Nice to Have:

• Credit or lending domain experience (not required)
• Prior experience managing external engineering vendors
• Master’s degree (secondary to demonstrated delivery experience)

Strong candidates will be able to speak concretely to discovery work – specific edge cases or workarounds they uncovered that weren’t documented anywhere – and to how they measured whether AI output was good enough for production, including how they caught regressions.

Working Style:

This is a hands-on, high-autonomy role. You’ll operate with day-to-day independence inside your pod, be comfortable structuring ambiguous problems without waiting for direction, and build trust directly with SMEs and functional heads – adoption is something you earn during discovery, not something you chase after launch.

Compensation & Benefits

Base Salary: Up to $220,000

Additional:

• Relocation assistance considered for candidates who need it
• Hybrid work model, 2-3 days/week onsite

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Software Engineer – Treasury

Up to £200,000

London (4-5 days a week in office)

If you are looking for a software engineering role that combines technical ownership, business impact, and exposure to front, middle, and operational functions within a sophisticated investment environment, this opportunity offers a rare chance to build and own critical systems that support a global financial organisation. You will work closely with business stakeholders, solve complex problems, and see the direct impact of your work across the organisation.

THE COMPANY

They are a globally operating investment firm with a strong engineering culture and a significant focus on technology, automation, and innovation. Technology teams are embedded within the business and play an essential role in driving operational efficiency and supporting key investment functions.

Their Enterprise Engineering team develops and maintains business critical platforms spanning treasury, fund accounting, compliance, and middle office operations. Engineers are trusted with genuine ownership and are encouraged to contribute ideas, challenge processes, and deliver meaningful improvements.

THE ROLE

As a Software Engineer you will join a high-performing engineering team building mission-critical software that powers core operations across a leading investment firm.

Specifically, you can expect to be involved in the following:

• Design, build, and maintain production software used across treasury, fund accounting, compliance, and middle office functions
• Take ownership of systems and applications from development through to deployment and ongoing enhancement
• Collaborate closely with business stakeholders to understand requirements and deliver practical solutions
• Work across a mix of modern Python services and established object-oriented codebases
• Contribute to architectural discussions and system design decisions
• Partner with teams across technology and operations to solve complex business challenges

SKILLS AND EXPERIENCE

The successful Software Engineer will have the following skills and experience:

• Strong commercial software engineering experience with Python in a production environment
• Experience with at least one object-oriented programming language such as Java, C#, or C++
• Strong SQL skills and experience working with relational databases
• Background within buy-side financial services, hedge funds, asset management, or prime brokerage environments
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
• Knowledge of treasury, fund accounting, middle office, financing, stock loan, or related operational functions is highly desirable

BENEFITS

The successful Software Engineer will receive the following benefits:

• Salary up to £200,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Azure Cloud Engineer

£40,000 – £50,000

Abingdon, Oxfordshire (1 day a week in office)

Looking to take ownership of real Azure infrastructure while broadening your exposure to cloud architecture, AI initiatives, and large-scale transformation projects? This is an opportunity to join a growing cloud team where you’ll have a direct impact on both internal platforms and client-facing technology programmes.

THE COMPANY

This consultancy-led organisation delivers technology, cloud, and transformation solutions across a diverse portfolio of public and private sector clients. They are continuing to invest heavily in cloud and AI capabilities and are growing their internal cloud function to support increasing demand. Operating within a fully cloud-native Microsoft Azure environment, the team is responsible for all cloud infrastructure, security, governance, and platform services across the business. You’ll join a collaborative technology team where innovation, practical problem-solving, and continuous improvement are highly valued.

THE ROLE

As an Azure Cloud Engineer, you will support the design, delivery, and ongoing management of cloud infrastructure while working closely with consultants and programme teams across the business.

Specifically, you can expect to be involved in the following:

• Building, supporting, and optimising Microsoft Azure environments
• Managing cloud resources including Virtual Machines, SQL Servers, Web Apps, and containerised applications
• Supporting Azure DevOps and GitHub-based development and deployment processes
• Creating and maintaining CI/CD pipelines
• Assisting with cloud architecture and infrastructure design discussions
• Advising stakeholders on cloud hosting approaches and infrastructure best practices
• Supporting cloud cost optimisation and operational efficiency across the estate

SKILLS AND EXPERIENCE

The successful Azure Cloud Engineer will have the following skills and experience:

• Commercial experience working within Microsoft Azure environments
• Experience deploying and supporting cloud infrastructure end-to-end
• Knowledge of Azure services including compute, networking, storage, and identity management
• Experience with Azure DevOps and/or GitHub
• Experience building and supporting CI/CD pipelines
• Understanding of cloud security, governance, and compliance principles
• Strong stakeholder communication skills and the ability to work with both technical and non-technical teams

BENEFITS

The successful Azure Cloud Engineer will receive the following benefits:

• Salary between £40,000 – £50,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

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GRADUATE DATA ENGINEER
£44,000
LONDON

This is an exciting opportunity to join a rapidly growing Tech business where you’ll help build the systems that power key commercial decisions. You’ll work on high-impact engineering projects, gaining exposure to data, analytics, and pricing functions while taking real ownership from day one.

THE COMPANY

Our client is a fast-growing tech business that has expanded significantly in recent years, launching new products and securing major strategic partnerships. As they continue to scale, they’re investing heavily in their technology function and are looking for ambitious engineers who want to make a tangible impact within a collaborative and high-performing environment.

THE ROLE

• Build and maintain software solutions that support the deployment of pricing and data science models into production
• Develop scalable systems and pipelines that are reliable and operationally ready
• Work closely with engineering, analytics, and data teams to deliver business-critical projects
• Take ownership of solutions from design through to implementation in a fast-paced environment

YOUR SKILLS AND EXPERIENCE

• Commercial experience using Python or a similar programming language
• Strong academic background, ideally with a STEM degree
• Driven, proactive, and comfortable working in a fast-moving environment
• Strong problem-solving skills with a desire to take ownership of projects
• Excellent communication and collaboration skills

SALARY AND BENEFITS

• Up to £44,000 base salary
• £600 annual learning and development budget
• Senior mentorship and career development opportunities
• Hybrid working model (4 days in office)
• Work abroad policy allowing up to one week per year overseas

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link.

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Lead Data Engineer

Up to £85,000

Holborn, London (4 days a week in office)

This is an opportunity to take ownership of a Data Engineering function at a high-growth AI-driven SaaS business. Working directly with senior technology leadership, you will combine hands-on engineering with team leadership, helping to shape the technical direction, standards and future growth of the function.

THE COMPANY

They are a rapidly scaling SaaS organisation that helps businesses unlock greater value from their data through advanced analytics and AI-powered products. Their technology supports enterprise clients across a range of sectors, delivering actionable insights that improve decision-making and commercial performance.

THE ROLE

As a Lead Data Engineer, you will be responsible for leading Data Engineering whilst remaining heavily involved in technical delivery.

Specifically, you can expect to be involved in the following:

• Building and developing the Data Engineering function, including processes, standards and best practices
• Leading, mentoring and managing a team of Data Engineers
• Designing and delivering scalable ETL and ELT pipelines across cloud environments
• Owning data modelling, architecture and platform design decisions
• Collaborating with Product, Data Science, Platform and Client Success teams
• Driving improvements across CI/CD, DevOps and engineering workflows
• Working with clients and stakeholders to understand data challenges and deliver value-driven solutions

SKILLS AND EXPERIENCE

The successful Lead Data Engineer will have the following skills and experience:

• Previous experience leading or managing a Data Engineering team
• Strong commercial experience with SQL and Python
• Expertise in building scalable ETL and ELT pipelines
• Strong understanding of data modelling and modern data architecture principles
• Experience working with cloud platforms such as Azure, AWS or GCP
• Knowledge of Databricks, Azure Data Factory, Microsoft Fabric or similar modern data platforms
• Experience with Git, CI/CD and DevOps best practices
• Strong communication skills with the ability to engage technical and non-technical stakeholders
• Experience in consulting, client-facing or project-led environments would be advantageous

BENEFITS

The successful Lead Data Engineer will receive the following benefits:

• Salary up to £85,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Director of Analytics

We’re looking for a hands-on Director of Analytics to lead the strategy, architecture, and delivery of our global analytics platform – serving both internal stakeholders and thousands of clients worldwide. This is a builder’s role: you’ll personally shape data pipelines, semantic models, and embedded analytics products while building and mentoring a high-caliber engineering team.

Role Details

• Own the multi-year roadmap for a global analytics platform spanning internal BI and external client-facing reporting
• Lead architecture decisions across data warehousing (Snowflake, Azure DataLake), semantic modeling (LookML, dbt), and BI tools (Looker, Power BI)
• Design embedded analytics applications integrated directly into product experiences
• Build, recruit, and mentor a team of analytics engineers working across the full data lifecycle
• Establish data governance, observability, and SLAs for data freshness and pipeline reliability
• Partner with executive leadership and clients to translate business needs into analytics capabilities

Qualifications

• 10+ years in analytics/data engineering; 5+ years leading and growing technical teams
• Proven track record delivering both internal and client-facing analytics products
• Deep expertise with Snowflake and fluency across at least two major cloud providers (AWS, Azure, GCP)
• Expert-level SQL, hands-on dbt experience, and strong Python skills
• Experience with embedded analytics (React/Vue.js), semantic modeling, and data governance frameworks (RBAC, lineage, compliance)
• Preferred: travel/hospitality industry experience, multi-tenant platform experience, IaC (Terraform, Docker, Kubernetes), advanced degree

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Senior Full-Stack Software Engineer | AI & Predictive Analytics

$190K-$225K Base + 20% Bonus | Up to ~$270K Total Compensation
New York City | Atlanta | Chicago | Dallas | Fort Washington, PA

I’m partnering with a Blackstone-backed organization operating one of the largest portfolios in its industry to hire a Senior Software Engineer into a small, highly entrepreneurial Innovation team.

This is a rare opportunity to get startup-level ownership with the resources, data and scale of a major enterprise.

The team is building an AI-enabled investment and predictive analytics platform designed to fundamentally change how billions of dollars in assets are evaluated and managed. The product is already in production, with significant ambitions around predictive modeling, AI-enabled workflows and sophisticated decision-support tooling.

You’ll operate as a core engineer within a small product team, partnering directly with Product, Design and a sophisticated Research & Analytics organization. The mandate is genuinely end-to-end: understand the business problem, shape the product, architect the solution, build it and put it into the hands of investment professionals.

What They’re Looking For

• 4+ years of software engineering experience
• Strong Python development expertise
• Modern full-stack engineering experience; React/Node preferred, but adjacent technologies welcomed
• Experience building and shipping production-grade products end-to-end
• Exposure to AI/ML, predictive analytics or data science-driven products
• Ideally experience productizing models or building tools used by investors/financial professionals
• Background in fintech, investment technology, financial services, analytics-heavy products or similarly sophisticated environments
• Comfortable operating in a 0→1 / early-stage / venture-incubation environment
• Strong product instincts and ability to communicate directly with senior business stakeholders
• Backend- or frontend-leaning engineers are absolutely considered, provided you’re comfortable contributing across the product

Why It’s Compelling

This isn’t another engineering seat buried inside a large organization. You’ll have outsized ownership and visibility, working on a platform with executive sponsorship and the potential to reshape a core investment workflow.

For someone who wants to combine full-stack engineering, AI, predictive analytics and investment technology, while retaining the speed and ownership of an early-stage team, it’s an unusually compelling opportunity.

Compensation: $190K-$225K base + 20% performance bonus, with total compensation reaching approximately $270K at the top of the band.

Locations: NYC, Atlanta, Chicago, Dallas or Fort Washington, PA. Hybrid/on-site approximately 3-4 days per week, with periodic travel to NYC for team collaboration.

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