Software Engineering Manager
/ $180000 - $230000 annum
INFO
$180000 - $230000
LOCATION
Permanent
Engineering Manager (Full-Stack Software Engineering)
NEW YORK
Up to $230,000
The Company
Join a rapidly scaling, venture-backed tech business that's redefining how people engage with a traditionally fragmented industry. This is a mission-driven organization combining cutting-edge technology, a vibrant community, and world-class partnerships to empower individuals to build successful businesses. Backed by leading investors and recognized as one of the most innovative companies in its space, this is an opportunity to be part of something truly transformative.
The Role
We're seeking an Engineering Manager to lead a cross-functional team focused on building smart, scalable tools that deliver exceptional user experiences. You'll work closely with Product and Design to shape strategy, drive technical excellence, and ensure your team delivers impactful solutions. Expect a mix of greenfield development and enhancing existing systems, all while mentoring engineers and fostering a culture of collaboration and growth.
Key Responsibilities
- Partner with Product and Design to define and execute technical strategy.
- Drive engineering velocity and operational excellence without compromising quality.
- Make informed architectural decisions and anticipate future technical challenges.
- Promote team engagement, skill development, and professional growth.
- Contribute hands-on through code reviews and technical problem-solving.
- Support hiring efforts to attract top engineering talent.
Requirements
- 4+ years in engineering management with a track record of successful delivery.
- 8+ years in web systems development.
- Strong technical acumen and ability to set robust engineering standards.
- Excellent communication and organizational skills.
- Experience mentoring engineers and building high-performing teams.
- Comfortable in a fast-paced, early- to mid-stage environment.
- Entrepreneurial mindset and first-principles approach to problem-solving.
Tech Stack
- Modern Web Frameworks (e.g., React, Next.js)
- Backend Technologies (e.g., Node.js, Python, or similar)
- Cloud Infrastructure (AWS, GCP, or Azure)
- Databases (PostgreSQL, MySQL, or NoSQL solutions)
- CI/CD & DevOps Tools (Docker, Kubernetes, GitHub Actions)
- Testing Frameworks (Jest, Cypress, or similar)
- API Design (RESTful and GraphQL)
Benefits
- Competitive compensation package with stock options.
- Unlimited vacation and comprehensive health benefits.
- Retirement plan with company match.
- Wellness perks and commuter benefits.
CONTACT
Luc Simpson-Kent
Senior recruitment Consultant
SIMILAR
JOB RESULTS
Data Manager
London
£55000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Data Manager
Location: Farringdon | Hybrid 2 days in office
Salary: £55,000 to £60,000 + bonus
A leading UK membership organisation within the healthcare space is looking for its first dedicated Data Manager to own and build its data capability from the ground up.
This is a highly visible role sitting within the commercial function of a 55 person business that supports over 13,000 members. The organisation is in the middle of a major business transformation, including the rollout of a new CRM, and is now ready to bring data ownership in house.
You will take responsibility for centralising data across the business, improving data quality, and creating meaningful insight to support commercial, membership, events, education, and communications teams.
The Role
* Audit current data sources and structures across the organisation
* Lead data cleansing and ensure high quality data for CRM migration
* Own data governance and best practice across the business
* Build dashboards and reporting to support decision making
* Deliver insights on performance, membership, retention, and engagement
* Act as the go to person for data across a small, fast moving organisation
What They Are Looking For
* Strong SQL and Power BI experience
* Confident stakeholder management in a commercial environment
* Comfortable wearing multiple hats in a small business
* 3 to 4 years relevant experience
* Background in membership, not for profit, or similar environments preferred
Why Apply
* First data hire with real ownership and influence
* Highly autonomous culture with strong leadership support
* Greenfield analytics environment
* Hybrid working 2 days in the office, flexible culture
* Central London location in Farringdon
This role is ideal for someone who wants to step into a broad data ownership position, combining data management, BI, and commercial analytics in a business that is genuinely invested in using data better.
To Apply for this Job Click Here
Project Manager
City of London
£450 - £520
+ Advanced Analytics & Marketing Insights
ContractCity of London, London
To Apply for this Job Click Here
PROJECT MANAGER
£480 – £520 PER DAY OUTSIDE IR35
2 DAYS PER WEEK IN THE OFFICE (LONDON)
6 MONTH CONTRACT
THE COMPANY:
A fast-growing, data-driven SaaS organisation is looking for a Project Manager to manage several workstreams, maintain enterprise client engagement, and support delivery.
THE ROLE:
As a Project Manager, your responsibilities will include:
- Take over project management responsibilities for existing enterprise customer accounts
- Manage projects at varying stages: start-up, mid-delivery, and close-out
- Ensure delivery remains on track against established project plans
- Work day-to-day with engineering teams to ensure required data and outputs are delivered
- Provide troubleshooting support, ensuring customer issues are resolved efficiently
- Act as a key bridge between customers and internal teams
- Lead bi-weekly customer engagements, including coordination and follow-up
- Handle customer-facing email communication and meeting administration
- Produce summary slide decks and status updates for stakeholders
- Enable smooth collaboration across functions and help teams work effectively together
- Operate within a PRINCE2-style framework, while maintaining a flexible, delivery-first approach
YOUR SKILLS AND EXPERIENCE:
- Proven experience delivering digital or data-led projects
- Experience within transport or fleet industries
- Strong project management background, ideally within SaaS environments
- Experience working with engineering, data science, and analytics teams
- Comfortable coordinating delivery across datasets and technical workstreams
- Excellent communication and stakeholder management skills
- Confident producing and presenting clear, concise slide decks
- Hands-on experience using Jira and Google Slides
- Experience working in digital transformation programmes
- Collaborative, pragmatic approach
HOW TO APPLY:
Please register your interest by sending your CV to Mojola Coker via the apply link on this page.
To Apply for this Job Click Here
Project Manager
London
£450 - £520
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Project Manager (Contract)
Location: London (King’s Cross) – hybrid, 2 days per week onsite (Mon/Wed)
Contract: Up to 6 months | IR35: Outside
Rate: £450-520per day
Start: ASAP – 2 weeks notice max
Overview
Hands-on Project Manager contract role created to cover a short-term gap while a permanent hire is made. The focus is on maintaining enterprise client engagement, supporting delivery, and acting as the key bridge between customers, engineering, and internal teams to keep projects on track.
Key Responsibilities
- Manage enterprise customer accounts and active deals (new and ongoing).
- Act as the main delivery contact for customers (email and meeting coordination).
- Run bi-weekly client engagements and produce clear summary slide decks.
- Work closely with engineering teams to ensure delivery milestones remain on track.
- Troubleshoot helpdesk tickets and ensure issues are owned and resolved by engineering.
- Ask the right questions internally on behalf of customers.
- Operate within a flexible PRINCE2-style framework
- Glue together delivery across customer success, engineering, and operations.
- Enable internal teams through clear communication and prioritisation.
Requirements
- Travel/Transport/fleet experience a big plus
- Experience in SaaS, digital transformation, or enterprise environments desirable.
- Strong customer-facing communication and stakeholder management skills.
- Confident written and presentation skills (Google Slides, summaries, updates).
- Experience using Jira to track delivery and issues.
- Comfortable working closely with engineering teams.
- Collaborative, delivery-focused mindset.
To Apply for this Job Click Here
Software Engineering Manager
$180000 - $230000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
Engineering Manager (Full-Stack Software Engineering)
NEW YORK
Up to $230,000
The Company
Join a rapidly scaling, venture-backed tech business that’s redefining how people engage with a traditionally fragmented industry. This is a mission-driven organization combining cutting-edge technology, a vibrant community, and world-class partnerships to empower individuals to build successful businesses. Backed by leading investors and recognized as one of the most innovative companies in its space, this is an opportunity to be part of something truly transformative.
The Role
We’re seeking an Engineering Manager to lead a cross-functional team focused on building smart, scalable tools that deliver exceptional user experiences. You’ll work closely with Product and Design to shape strategy, drive technical excellence, and ensure your team delivers impactful solutions. Expect a mix of greenfield development and enhancing existing systems, all while mentoring engineers and fostering a culture of collaboration and growth.
Key Responsibilities
- Partner with Product and Design to define and execute technical strategy.
- Drive engineering velocity and operational excellence without compromising quality.
- Make informed architectural decisions and anticipate future technical challenges.
- Promote team engagement, skill development, and professional growth.
- Contribute hands-on through code reviews and technical problem-solving.
- Support hiring efforts to attract top engineering talent.
Requirements
- 4+ years in engineering management with a track record of successful delivery.
- 8+ years in web systems development.
- Strong technical acumen and ability to set robust engineering standards.
- Excellent communication and organizational skills.
- Experience mentoring engineers and building high-performing teams.
- Comfortable in a fast-paced, early- to mid-stage environment.
- Entrepreneurial mindset and first-principles approach to problem-solving.
Tech Stack
- Modern Web Frameworks (e.g., React, Next.js)
- Backend Technologies (e.g., Node.js, Python, or similar)
- Cloud Infrastructure (AWS, GCP, or Azure)
- Databases (PostgreSQL, MySQL, or NoSQL solutions)
- CI/CD & DevOps Tools (Docker, Kubernetes, GitHub Actions)
- Testing Frameworks (Jest, Cypress, or similar)
- API Design (RESTful and GraphQL)
Benefits
- Competitive compensation package with stock options.
- Unlimited vacation and comprehensive health benefits.
- Retirement plan with company match.
- Wellness perks and commuter benefits.
To Apply for this Job Click Here
Director of AI
$300000 - $350000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Director of AI
New York
up to £350,000 + Bonus + Carry
A leading private equity firm is seeking a hands-on Data & AI leader to drive value across its fintech portfolio. This is a high-impact role blending strategy, delivery, and innovation, working directly with deal teams, C-suites, and Boards.
THE ROLE
- Lead AI/data diligence for new investments
- Build and scale a Data & AI practice across portfolio companies
- Co-create AI-enabled value creation plans (VCPs)
- Drive internal AI transformation and platform development
- Represent the firm through thought leadership and industry engagement
REQUIREMENTS
- Proven track record delivering AI/data initiatives in fintech or regulated sectors
- Experience in PE/VC, consulting, or operator roles with value-creation focus
- Deep expertise in:
- LLMs and agent-based architectures
- End-to-end AI/ML development and deployment (MLOps)
- Data governance, privacy, and responsible AI
- Strong commercial acumen and stakeholder influence
- Ability to lead small, high-performing teams
THE BENEFITS
- Competitive base salary + bonus + carried interest
- High-impact, high-visibility role with direct access to investment teams and portfolio leadership
- Opportunity to shape the future of AI in private equity and fintech
- Hybrid working with offices in New York
If you’re interested in shaping the future of AI in private equity, apply now to explore this unique opportunity.
To Apply for this Job Click Here
Senior Machine Learning Engineer
New York
$180000 - $220000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Machine Learning Engineer
Location: Remote (with optional hybrid New York)
Salary: Salary up to $220,000
THE COMPANY
Our client is a fast-growing, profitable technology business operating at the cutting edge of AI-driven decisioning. They partner with global brands to deliver advanced machine learning solutions that optimize real-time strategies across digital platforms.
THE ROLE
As a Senior Machine Learning Engineer, you will play a key role in building scalable ML infrastructure and deploying production-grade models that directly impact business outcomes. This is an opportunity to work on distributed systems, cutting-edge neural network architectures, and MLOps best practices in a high-performance environment.
RESPONSIBILITIES
- You will architect and train neural network models for optimization and audience modeling using PyTorch and distributed training frameworks.
- You will build multi-GPU training pipelines and implement hyperparameter tuning strategies.
- You will develop feature engineering workflows using PySpark and embedding techniques.
- You will own the ML lifecycle from training to batch inference, ensuring automation and reproducibility.
- You will implement monitoring and observability solutions to track model performance and system health.
- Collaborate with cross-functional teams to align ML initiatives with product strategy and KPIs.
REQUIREMENTS
- MSc or PhD in Computer Science, Machine Learning, or related field.
- Strong ML engineering with strong proficiency in PyTorch.
- Hands-on experience with Databricks.
- Expert-level Python and PySpark skills for large-scale data processing.
- Familiarity with cloud platforms (AWS) and data warehousing (Snowflake).
- Strong understanding of CI/CD workflows and best practices.
BENEFITS
- Competitive salary and bonus structure.
- Comprehensive health coverage.
- Generous PTO and company holidays.
- Flexible remote working options.
HOW TO APPLY
If you’re passionate about building scalable ML systems and want to work in a dynamic, innovative environment, apply today to learn more.
Desired Skills and Experience
MLOps, DataBricks
To Apply for this Job Click Here
Senior ML Infrastructure Engineer (Robotics)
London
£600 - £1000
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Senior ML Infrastructure Engineer (Robotics)
London
Contract, Outside IR35
£600-1000 per day
Primarily onsite
Overview
We are partnering with a robotics and AI company building the core software infrastructure that enables advanced AI models to operate reliably in real-world robotic systems. They are looking for a Senior ML Infrastructure Engineer to design, build, and optimise the training and inference platforms at the heart of their technology.
This is a hands-on engineering role focused on scale, performance, and reliability. You will work across the full machine learning lifecycle, from distributed training pipelines to highly optimised inference systems deployed into production robotics environments.
The Role
You will join a highly technical team working at the intersection of software engineering, machine learning infrastructure, and robotics. Your focus will be on turning cutting-edge models into robust, production-ready systems that run efficiently across cloud and constrained hardware environments.
You will collaborate closely with researchers and ML engineers, help shape architectural decisions, and solve complex systems problems that directly impact real-world deployment.
Key Responsibilities
* Design, build, and maintain distributed ML training pipelines including data preprocessing, orchestration, training, and evaluation
* Optimise training performance, scalability, and resource utilisation across online and offline learning workflows
* Develop and optimise AI inference pipelines for deployment into real-world robotic systems
* Build infrastructure and tooling to support reliable model integration, monitoring, and production analysis
* Implement optimisation strategies across inference paradigms, including autoregressive, denoising, hierarchical, and multi-agent systems
* Work across cloud and hardware constraints to ensure models run efficiently in production
* Contribute to high engineering standards through testing, CI, and robust system design
Required Experience
* Strong software engineering background with Python and or C++
* Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or JAX
* Experience building or maintaining ML infrastructure, training platforms, or inference systems
* Solid understanding of distributed systems, parallel computing, and large-scale data processing
* Strong fundamentals in algorithms, data structures, and system design
Nice to Have
* Experience optimising ML inference for robotics, edge, or embedded systems
* Exposure to low-level systems concepts such as multithreading, networking, or memory management
* Experience with ML performance optimisation or compilers
* Background in reinforcement learning, VLA models, or embodied AI systems
* Experience working in cloud environments such as AWS, GCP, or Azure
Why Apply
* Work on real-world robotics systems rather than research-only models
* Solve complex engineering problems with direct impact on deployed products
* Based in London, with a highly technical, collaborative team
To Apply, Please email:
To Apply for this Job Click Here
Data Manager / Data Projects Lead
City of London
£400 - £550
+ Data Management & Governance
ContractCity of London, London
To Apply for this Job Click Here
DATA MANAGER / DATA PROJECTS LEAD
£400 – £550 PER DAY INSIDE IR35
2-3 DAYS PER WEEK IN THE OFFICE (LONDON)
6 MONTH CONTRACT
THE COMPANY:
A large, well-established organisation with a strong strategic focus on data and AI. While the business is sizeable, the data function itself is relatively lean, offering the successful Data Manager / Data Projects Lead the opportunity to have real ownership, visibility, and impact across multiple workstreams.
THE ROLE:
As a Data Manager / Data Projects Lead, your responsibilities will include:
- Lead and coordinate four key organisation-wide data projects
- Spend 50% of the time on data literacy initiatives and 50% on wider data projects
- Own and drive the organisation’s data literacy agenda, improving data confidence and capability
- Assess project demand and understand current vs. target-state delivery
- Audit priorities across existing data infrastructure and strategy
- Support prioritisation and alignment across multiple data workstreams
- Work closely with senior stakeholders
- Act as a coordinating lead for data activities (without direct line management)
- Gather requirements and ensure alignment with the data team
- Roll up sleeves to create materials, presentations, and supporting content
- Translate data problems into clear, engaging outputs (including AI-supported presentations where relevant)
YOUR SKILLS AND EXPERIENCE:
- Proven experience leading or coordinating data literacy, data enablement, or data change initiatives
- Strong grounding in data governance, analytics, visualisation, and storytelling
- Experience working in large organisations with small data teams (or consultancy backgrounds)
- Ability to assess project demand, define priorities, and align teams to delivery plans
- Strong stakeholder management skills, particularly with HR, data, and senior business leaders
- Experience working with tools such as Excel and Power BI
- Confident operating in a supervisory / coordinating role across multiple workstreams
- Comfortable creating content and materials, not just directing others
- A pragmatic, delivery-focused mindset
HOW TO APPLY:
Please register your interest by sending your CV to Mojola Coker via the apply link on this page.
To Apply for this Job Click Here
Senior Collections Analytics Manager
London
£110000 - £130000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
SENIOR COLLECTIONS STRATEGY MANAGER
£110-135,000
LONDON
THE COMPANY
This role is with a leading FinTech brand in the UK. This role offers the unique opportunity to take an individual contributor role at a senior level in the business, driving collections strategies and recoveries processes whilst working with junior analysts when required. This is an excellent opportunity for someone looking to take a step-up in a fast-paced, successful business.
THE ROLE
- Ownership of the entire collections and recoveries part of the business
- Developing collections strategies to enhance business performance and improve customer outcomes
- Leading policies for affordability, arrears management and wider debt provisioning
- Leading debt sale processes and working closely with stakeholders and senior members of the business
- Wider ad hoc project work as required
YOUR SKILLS AND EXPERIENCE
- Essential to have had experience in the collections space within consumer lending
- Essential to have experience developing collection strategies
- Essential to have had prior experience in debt sale processes and wider debt provisioning
- A background in SQL/SAS/Python coding – not essential to currently use these
- Strong communication skills
SALARY AND BENEFITS
- Up to £135,000 base salary
- Competitive bonus scheme
- Contributory pension scheme
- Flexible holiday scheme
- Hybrid work model
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link
To Apply for this Job Click Here
Technical Data Analyst (Python, SQL, Databricks)
Leicester
£40000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentLeicester, Leicestershire
To Apply for this Job Click Here
TTECHNICAL DATA ANALYST
Up to £50,000 + BENEFITS
HYBRID – Leicestershire
I am looking for a Technical Data Analyst to join a finance-focused data team. You’ll be at the heart of turning data into insights across four business-critical finance areas, helping shape decision-making and drive self-service analytics.
THE COMPANY:
This business is moving toward a modern Gold Standard Medallion Architecture, with a focus on empowering teams through self-service analytics and scalable reporting. The data team is central to how finance operates, and your dashboards will have real visibility and impact across the business.
THE ROLE:
A Technical Data Analyst will need to:
- Data exploration, validation, and transformation
- Analysis, automation, data profiling, and automation
- Build Power BI dashboards where required
- Drive the adoption of self-service analytics and reduce reliance on ad hoc queries
YOUR SKILLS AND EXPERIENCE:
A successful Technical Data Analyst will have the following:
- SQL experience (end-to-end dashboard development)
- Python experience
- Data Bricks
- Excellent communication skills for stakeholder engagement and requirements gathering
THE BENEFITS:
You will receive a salary of up to £50,000, depending on experience. On top of this, there are excellent benefits and the chance to be part of a transformational data journey.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Data Manager (Governance)
London
£400 - £550
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Data Manager (Governance)
Location: Coventry / Slough / London (London preferred) – 3 days per week onsite
Contract: 6 months | IR35: Inside
Rate: £400-£550pd
Start: ASAP (max 2 weeks’ notice)
Overview
Senior, hands-on data leadership role focused on delivery, prioritisation, and execution across a small data function. The remit spans data literacy and data integrity, ensuring data is fit for purpose and the business is equipped to use it effectively.
Role Focus
-
50% Data Literacy – owning and delivering organisation-wide data literacy programmes.
-
50% of projects such as Data Integrity – supporting asset data and data quality initiatives, driving practical business value.
Key Responsibilities
-
Lead and prioritise multiple data workstreams.
-
Own delivery approach and execution against an existing data plan.
-
Manage and support a small data team (including Power BI / Excel reporting).
-
Design and deliver data literacy content, training, and materials.
-
Coordinate data integrity initiatives and manage delivery partners.
-
Act as a strong communicator and storyteller with senior stakeholders.
-
Use AI tools where helpful (no prior experience required).
Requirements
-
Experience leading data literacy / enablement programmes.
-
Strong understanding of data governance, reporting, and analytics.
-
Proven delivery of data quality or data integrity initiatives.
-
Confident leader with strong stakeholder and communication skills.
-
Comfortable operating hands-on in a small, agile team.
-
Industry background open.
To Apply for this Job Click Here
Analytics Engineering Manager
London
£90000 - £100000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Analytics Engineering Manager:
Location: United Kingdom (Remote/Hybrid) Permanent Role
The Role
We’re looking for an Analytics Engineering Manager to lead our clients analytics engineering function and shape how data is modelled, governed, and used across the business. This role combines technical leadership, people management, and hands-on delivery, working closely with product, engineering, and commercial teams in a digital advertising environment.
You’ll own the analytics engineering roadmap, ensure high-quality data delivery, and build scalable, trusted data foundations that support reporting, performance measurement, and decision-making.
Key Responsibilities
- Lead and develop the Analytics Engineering team, owning delivery and prioritisation
- Design and evolve ELT pipelines, data models, and warehouse architecture
- Ensure reliability and consistency of advertising performance data (impressions, clicks, engagement, delivery)
- Partner cross-functionally to translate business needs into technical solutions
- Define and enforce data quality, testing, documentation, and governance standards
- Drive automation, observability, and continuous improvement
- Remain hands-on with critical data modelling and pipeline work
What We’re Looking For
- 6+ years’ experience in analytics or data engineering, including team leadership
- Expert SQL and strong Python skills
- Experience with dbt (or similar) and cloud data warehouses (e.g. BigQuery)
- Strong understanding of digital advertising data and measurement
- Proven ability to own roadmaps, deliver at pace, and communicate with senior stakeholders
The client is looking to move quickly, if you are interested in the role please apply. To follow up please email or message me on LinkedIn.
To Apply for this Job Click Here
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