Senior Machine Learning Engineer
Dublin / €104258.08 - €150595 annum
INFO
€104258.08 - €150595
LOCATION
Dublin
Permanent
Senior Machine Learning Engineer
Dublin, Ireland
This is a chance to join a growing Machine Learning team at a global digital entertainment business, helping to shape how millions of customers discover and buy content in an online store. You will own high-impact pricing and optimisation models, working with modern ML tooling and strong backing from senior leadership.
The Company
They are a well-established entertainment company that has been innovating for around three decades. Dublin is becoming a key hub for their Machine Learning capability, closely aligned with product and content development teams. They combine the scale and stability of a major brand with the impact and pace of a modern digital platform.
The Role
- Design, build and productionise machine learning solutions that optimise pricing, promotions and customer experience in a large-scale digital store.
- Develop time series and forecasting models to predict demand, revenue and customer behaviour across regions and product lines.
- Build and refine optimisation models using operations research techniques to support pricing, promotional strategies and inventory decisions.
- Work end to end across the ML lifecycle, from problem definition, data exploration and feature engineering through to model training, evaluation, deployment and monitoring.
- Collaborate with product, engineering and commercial stakeholders to translate business objectives into scalable ML solutions.
- Contribute to the technical direction of the Dublin ML team, helping to define best practices, tooling and architecture for ML delivery.
Your Skills And Experience
- Strong commercial experience building and deploying machine learning models in production environments.
- Deep expertise in pricing, optimisation or operations research, ideally with hands-on experience of tools such as Gurobi, CPLEX or similar optimisation libraries.
- Strong skills in Python and modern ML frameworks such as PyTorch and TensorFlow.
- Experience working with time series forecasting, demand modelling, churn or uplift modelling.
- Practical experience of delivering ML solutions on cloud platforms such as AWS, GCP or Azure, including containerisation and deployment using tools like Docker, Kubernetes and CI/CD pipelines.
- Experience in e-commerce, digital platforms or online customer experiences is highly desirable, especially work on recommender systems or search.
What They Offer
- Base salary plus 15% annual bonus and 10% pension.
- Flexible working with remote options in Ireland and regular collaboration with teams in the UK and US, plus occasional visits to the Dublin office.
- Opportunity to join a small, high-calibre ML team in Dublin and play a key role in building out their in-house capability.
- Exposure to complex, high-impact ML problems in pricing, optimisation and customer experience, with clear opportunities for progression and technical leadership.
How To Apply
If you are an experienced Machine Learning Engineer with strong pricing and optimisation experience and you want to shape a high-impact ML function in Dublin, please apply with your CV to be considered.
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Marketing Performance Lead – Contract
London
£450 - £550
+ Digital Analytics
ContractLondon
To Apply for this Job Click Here
Marketing Performance Lead
Marketplace
London – Hybrid
£450-£550 per day – Outside IR35
This is an opportunity to join a fast‑paced, data‑driven marketplace business as they elevate their trading capabilities. You will play a pivotal role in shaping how marketing investment drives customer acquisition, revenue and long‑term value. This project suits someone who thrives at the intersection of commercial strategy, marketing performance and customer insight.
The Company
They are a well‑established platform business. With a rapidly growing customer base and a wide ecosystem of partners, they rely heavily on data to guide marketing, trading and commercial decisions. They are expanding their trading function to strengthen the link between insight, marketing execution and commercial outcomes. This contractor will help shape how the organisation delivers efficient growth in a highly competitive market.
The Role and Deliverables
- Act as the commercial conscience for all marketing performance, ensuring activity aligns with quarterly trading goals.
- Scrutinise marketing channel performance and challenge weekly plans to maximise P&L impact and order volume.
- Use customer, market and performance insights to shape commercial plans and marketing actions across CRM, paid media and onsite journeys.
- Drive short‑term tactical levers when forecasts shift, working closely with Trading, Marketing and Commercial teams.
- Build a clear understanding of user base dynamics and identify opportunities to improve conversion, retention and customer economics.
- Track performance against trading plans, holding teams accountable for delivering ROI across channels.
Your Skills and Experience
- Strong commercial mindset with experience driving performance across a marketing funnel within a platform or marketplace business.
- Ability to interpret analytical outputs and translate them into meaningful commercial recommendations.
- Confident challenging plans, identifying root causes of performance and pushing for better outcomes.
- Skilled at working cross‑functionally and simplifying complex data for senior stakeholders.
- Knowledge of customer journeys, conversion funnels and trading dynamics across CRM, paid search, paid social and onsite channels.
- Comfortable operating at pace, making decisions and influencing change without owning channel deployment.
How to Apply
If this sounds like the right contract for you, please apply with your CV and we will be in touch.
Marketing Performance / Trading Strategy / Customer Acquisition / Commercial Analytics / Conversion Funnel / Performance Marketing / Platform Marketplace / P&L Optimisation
To Apply for this Job Click Here
Fraud Analyst
London
£45000 - £50000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Fraud Analyst
London, hybrid (3 to 4 days in office)
£45,000 to £50,000
A great opportunity to join a fast‑growing lender as they expand into new lending. You will shape fraud controls from the ground up and make a visible impact in a data‑focused, agile environment.
The Company
They are a high‑growth financial services business building modern lending products for the UK market. With strong investment and recent profitability, they are now scaling a new product. You will join a collaborative team where data sits at the centre of decision making.
The Role
* Analyse fraud patterns, behaviours and anomalies.
* Develop, test and optimise fraud rules.
* Report on emerging fraud types across new products.
* Use SQL and fraud tools to generate insights and recommendations.
* Improve fraud processes as they scale their lending portfolio.
Your Skills and Experience
* Strong experience working with fraud data, rules or controls.
* Proficiency in SQL.
* Exposure to tools such as ThreatMetrix or CIFAS is beneficial.
* Comfortable analysing data and providing clear, concise insights.
What They Offer
* £45,000 to £50,000 salary.
* Bonus, pension scheme, private medical
* High visibility, fast decision making and strong progression opportunities.
How to Apply
Apply now to be considered for this opportunity.
To Apply for this Job Click Here
Fraud Analyst
London
£45000 - £50000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Fraud Analyst
£45,000-£50,000
London + hybrid working (3-4 days per week in the office)
Harnham are working with a fast‑growing UK consumer lender seeking a Fraud Analyst to support the launch and scaling of new lending products.
THE COMPANY
- A high growth UK lending scale‑up offering innovative credit products across secured and unsecured markets.
- Backed by significant investment and entering a major expansion phase after achieving profitability.
- Operates in a fast‑paced, agile environment with strong opportunities for progression and impact.
THE ROLE
This is a hands on analytical role within a developing fraud function, supporting the design, monitoring and optimisation of fraud controls for new and existing lending products. You’ll work closely with credit, operations and product teams as the business expands into new areas.
Specifically, you can expect to be involved in:
- Analysing fraud trends, patterns and behaviours to identify emerging risks.
- Developing and implementing fraud rules and controls as product volumes grow.
- Reporting on fraud performance and making data‑driven recommendations.
- Supporting the management of new fraud types associated with unsecured lending.
- Using fraud prevention tools and contributing to wider risk initiatives.
YOUR SKILLS AND EXPERIENCE
- 1-2 years’ experience in fraud analytics or fraud data analysis within financial services or a similar environment.
- Ability to work with customer or fraud data to generate insights.
- Understanding of fraud rules, controls, prevention tools or fraud related reporting.
- SQL skills (essential).
- Experience with fraud platforms such as ThreatMetrix or CIFAS (beneficial).
- Python experience (advantageous).
THE BENEFITS
- Join a small, growing team with real scope to influence strategy and controls.
- Clear progression pathways in a rapidly scaling business.
- Exposure to a broad range of fraud, credit and product related projects.
- Agile environment with short decision cycles and minimal bureaucracy.
THE PROCESS
- Initial 30‑minute interview with HR.
- 30‑minute interview with a senior team member.
- Final in‑person stage including a short case‑study discussion and a meeting with senior leadership.
HOW TO APPLY
Please register your interest via the apply link on this page.
To Apply for this Job Click Here
Senior Machine Learning Engineer
Dublin
€104258.08 - €150595
+ Digital Analytics
PermanentDublin
To Apply for this Job Click Here
Senior Machine Learning Engineer
Dublin, Ireland
This is a chance to join a growing Machine Learning team at a global digital entertainment business, helping to shape how millions of customers discover and buy content in an online store. You will own high-impact pricing and optimisation models, working with modern ML tooling and strong backing from senior leadership.
The Company
They are a well-established entertainment company that has been innovating for around three decades. Dublin is becoming a key hub for their Machine Learning capability, closely aligned with product and content development teams. They combine the scale and stability of a major brand with the impact and pace of a modern digital platform.
The Role
- Design, build and productionise machine learning solutions that optimise pricing, promotions and customer experience in a large-scale digital store.
- Develop time series and forecasting models to predict demand, revenue and customer behaviour across regions and product lines.
- Build and refine optimisation models using operations research techniques to support pricing, promotional strategies and inventory decisions.
- Work end to end across the ML lifecycle, from problem definition, data exploration and feature engineering through to model training, evaluation, deployment and monitoring.
- Collaborate with product, engineering and commercial stakeholders to translate business objectives into scalable ML solutions.
- Contribute to the technical direction of the Dublin ML team, helping to define best practices, tooling and architecture for ML delivery.
Your Skills And Experience
- Strong commercial experience building and deploying machine learning models in production environments.
- Deep expertise in pricing, optimisation or operations research, ideally with hands-on experience of tools such as Gurobi, CPLEX or similar optimisation libraries.
- Strong skills in Python and modern ML frameworks such as PyTorch and TensorFlow.
- Experience working with time series forecasting, demand modelling, churn or uplift modelling.
- Practical experience of delivering ML solutions on cloud platforms such as AWS, GCP or Azure, including containerisation and deployment using tools like Docker, Kubernetes and CI/CD pipelines.
- Experience in e-commerce, digital platforms or online customer experiences is highly desirable, especially work on recommender systems or search.
What They Offer
- Base salary plus 15% annual bonus and 10% pension.
- Flexible working with remote options in Ireland and regular collaboration with teams in the UK and US, plus occasional visits to the Dublin office.
- Opportunity to join a small, high-calibre ML team in Dublin and play a key role in building out their in-house capability.
- Exposure to complex, high-impact ML problems in pricing, optimisation and customer experience, with clear opportunities for progression and technical leadership.
How To Apply
If you are an experienced Machine Learning Engineer with strong pricing and optimisation experience and you want to shape a high-impact ML function in Dublin, please apply with your CV to be considered.
To Apply for this Job Click Here
Product Data Scientist
Leicester
£70000 - £85000
+ Advanced Analytics & Marketing Insights
PermanentLeicester, Leicestershire
To Apply for this Job Click Here
Product Data Scientist
London or Leicester £70,000 – £85,000
The Company
They are a fast‑scaling consumer technology business with over six million customers across the UK and international markets. Their platform serves a broad community of key workers and partners, and they are backed by private equity as they continue to expand digitally and globally. Data is a core focus for the organisation, with dedicated teams across analytics, engineering, BI and data science. The culture is collaborative, mission‑driven and built around ownership, impact and continuous improvement.
The Role
You will play a key role within the product analytics team, partnering closely with product managers, engineering and commercial stakeholders. Your work will focus on understanding user journeys across the app and website, analysing customer behaviour, and identifying opportunities for product and feature development. Responsibilities include:
* Analysing digital customer journeys to understand behaviour patterns and pain points.
* Producing insights on customer segments, purchasing trends and marketing performance.
* Supporting experimentation and hypothesis‑driven product development.
* Building dashboards and self‑serve tools for product and business teams.
* Working with SQL and Python to deliver high‑quality, actionable analysis.
* Supporting insights for specific product areas, including digital payment features.
Your Skills and Experience
* Strong commercial experience in product analytics or digital consumer environments.
* Proficiency in SQL and Python, with the ability to deliver end‑to‑end analysis.
* Experience working with digital data, experimentation and user behaviour analysis.
* Ability to translate complex data into clear, compelling insights for non‑technical stakeholders.
* Comfortable partnering with product teams and influencing strategic decisions.
* Experience in consumer tech, ecommerce, marketplaces or similar customer‑focused sectors.
What They Offer
* Salary up to 85000, with potential stretch to 90000 for exceptional profiles.
* Hybrid working from London Holborn or Leicester Cossington offices.
* Opportunity to join a small, growing team with real ownership of your product area.
* Mission‑driven environment with a focus on positive social impact.
* Flexible working, modern office spaces and a supportive, inclusive culture.
* Strong focus on career development, learning and progression.
How to Apply
Please apply with your CV to be considered for this Product Data Scientist position.
To Apply for this Job Click Here
Product Data Analyst
City of London
£70000 - £85000
+ Data Science & AI
PermanentCity of London, London
To Apply for this Job Click Here
Lead Product Analyst – Leicester or London
We are working with a global membership-based company that partner with 1000s of brands to offer discount to eligible workers.
They are seeking a Lead Product Analyst to use insights to drive narratives of user behaviour and highlight key metrics to guide recommendations within the business.
Responsibilities:
- Develop self-service dashboards and data tools to enable rapid insights into product features
- Collaborate with stakeholders to establish metrics to ensure data reliability
- Translate business problems into analytical tasks
- Present findings back to key stakeholders, ensuring a consistent story is told throughout the data
Required:
- 5+ years experience in a Product focused analyst role
- SQL, dbt, Python or R experience
- Lightdash, Looker or Tableau experience
To Apply for this Job Click Here
Lead Optimisation Data Scientist
London
£600 - £900
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Lead Optimisation Data Scientist
London, Hybrid
£600 – £900 per day
This is an exciting opportunity to take on high‑impact optimisation challenges within a large and complex operational environment. You will be joining a central Data and AI team that is solving real operational problems at scale, with your work directly influencing critical decision making and efficiency across the organisation.
The Company
They are an international organisation with extensive operational and logistics networks across multiple business units. Their central AI and Data Science function is expanding to deliver practical optimisation solutions that improve performance and reduce disruptions. The team partners closely with operational stakeholders to turn business challenges into deliverable optimisation models. Contractors play a key role in driving technical delivery and shaping solution design.
The Role and Deliverables
* Take end‑to‑end ownership of optimisation problem statements from discovery through to delivery.
* Build production‑ready optimisation or simulation models using Python.
* Translate operational challenges into well‑structured optimisation approaches.
* Develop solutions across areas such as logistics planning, resource allocation and supply chain optimisation.
* Work closely with business and operational teams to gather requirements and validate outputs.
* Provide clear technical recommendations to stakeholders on optimisation opportunities.
Your Skills and Experience
* Strong experience building optimisation or simulation solutions in production environments.
* Background in operations research or mathematical optimisation.
* Experience working on logistics, supply chain or wider operational optimisation problems.
* Ability to translate real‑world business issues into optimisation models.
* Strong Python skills for modelling and optimisation.
* Comfortable working collaboratively with operational stakeholders.
How to Apply
If this freelance opportunity sounds like the right fit, apply today to discuss the project in more detail.
To Apply for this Job Click Here
Lead Data Platform Engineer
Liverpool
£75000 - £85000
+ Data Engineering
PermanentLiverpool, Merseyside
To Apply for this Job Click Here
Lead Data Platform Engineer
£75,000 – £85,000
Remote
You are a well-experienced Lead Data Platform Engineer, looking to take ownership of a modern lakehouse platform and shape best‑in‑class data engineering practices.
THE COMPANY
This industry-leading organisation serves specialist, people-first knowledge to its clients and is looking to provide further expertise by improving its data capabilities.
THE ROLE
As a Lead Data Engineer you will build a Databricks platform with ownership, shaping how data is engineered, deployed, automated, and governed in Azure.
Specifically, you can expect to be involved in the following:
- Designing and developing end‑to‑end data platform solutions in Azure using Databricks
- Building and maintaining automation for cluster management, monitoring, tagging, and platform optimisation.
- Implementing CI/CD and DevOps best practices across data pipelines and platform components.
- Taking ownership of design decisions and long‑term architectural direction.
SKILLS AND EXPERIENCE
The successful Lead Data Engineer will have the following skills and experience:
- Deep expertise with Azure Databricks, including development, deployment, and platform‑level engineering.
- Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory.
- Solid understanding of DevOps practices including CI/CD and automated testing.
- Experience with monitoring, logging, and alerting solutions.
- Ability to work effectively with stakeholders across engineering functions.
BENEFITS
The successful Lead Data Platform Engineer will receive the following benefits:
- Salary between £75,000 – £85,000 – depending on experience
- Competitive bonus and benefits.
- Remote work with a flexible 35-hour week that can be taken as a 4-day week.
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
Lead Data Platform Engineer
Sheffield
£75000 - £85000
+ Data Engineering
PermanentSheffield, South Yorkshire
To Apply for this Job Click Here
Lead Data Platform Engineer
£75,000 – £85,000
Remote
You are a well-experienced Lead Data Platform Engineer, looking to take ownership of a modern lakehouse platform and shape best‑in‑class data engineering practices.
THE COMPANY
This industry-leading organisation serves specialist, people-first knowledge to its clients and is looking to provide further expertise by improving its data capabilities.
THE ROLE
As a Lead Data Engineer you will build a Databricks platform with ownership, shaping how data is engineered, deployed, automated, and governed in Azure.
Specifically, you can expect to be involved in the following:
- Designing and developing end‑to‑end data platform solutions in Azure using Databricks
- Building and maintaining automation for cluster management, monitoring, tagging, and platform optimisation.
- Implementing CI/CD and DevOps best practices across data pipelines and platform components.
- Taking ownership of design decisions and long‑term architectural direction.
SKILLS AND EXPERIENCE
The successful Lead Data Engineer will have the following skills and experience:
- Deep expertise with Azure Databricks, including development, deployment, and platform‑level engineering.
- Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory.
- Solid understanding of DevOps practices including CI/CD and automated testing.
- Experience with monitoring, logging, and alerting solutions.
- Ability to work effectively with stakeholders across engineering functions.
BENEFITS
The successful Lead Data Platform Engineer will receive the following benefits:
- Salary between £75,000 – £85,000 – depending on experience
- Competitive bonus and benefits.
- Remote work with a flexible 35-hour week that can be taken as a 4-day week.
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
Lead Data Platform Engineer
Liverpool
£75000 - £85000
+ Data Engineering
PermanentLiverpool, Merseyside
To Apply for this Job Click Here
Lead Data Platform Engineer
£75,000 – £85,000
Remote
You are a well-experienced Lead Data Platform Engineer, looking to take ownership of a modern lakehouse platform and shape best‑in‑class data engineering practices.
THE COMPANY
This industry-leading organisation serves specialist, people-first knowledge to its clients and is looking to provide further expertise by improving its data capabilities.
THE ROLE
As a Lead Data Engineer you will build a Databricks platform with ownership, shaping how data is engineered, deployed, automated, and governed in Azure.
Specifically, you can expect to be involved in the following:
- Designing and developing end‑to‑end data platform solutions in Azure using Databricks
- Building and maintaining automation for cluster management, monitoring, tagging, and platform optimisation.
- Implementing CI/CD and DevOps best practices across data pipelines and platform components.
- Taking ownership of design decisions and long‑term architectural direction.
SKILLS AND EXPERIENCE
The successful Lead Data Engineer will have the following skills and experience:
- Deep expertise with Azure Databricks, including development, deployment, and platform‑level engineering.
- Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory.
- Solid understanding of DevOps practices including CI/CD and automated testing.
- Experience with monitoring, logging, and alerting solutions.
- Ability to work effectively with stakeholders across engineering functions.
BENEFITS
The successful Lead Data Platform Engineer will receive the following benefits:
- Salary between £75,000 – £85,000 – depending on experience
- Competitive bonus and benefits.
- Remote work with a flexible 35-hour week that can be taken as a 4-day week.
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
Lead Data Platform Engineer
Birmingham
£75000 - £85000
+ Data Engineering
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Lead Data Platform Engineer
£75,000 – £85,000
Remote
You are a well-experienced Lead Data Platform Engineer, looking to take ownership of a modern lakehouse platform and shape best‑in‑class data engineering practices.
THE COMPANY
This industry-leading organisation serves specialist, people-first knowledge to its clients and is looking to provide further expertise by improving its data capabilities.
THE ROLE
As a Lead Data Engineer you will build a Databricks platform with ownership, shaping how data is engineered, deployed, automated, and governed in Azure.
Specifically, you can expect to be involved in the following:
- Designing and developing end‑to‑end data platform solutions in Azure using Databricks
- Building and maintaining automation for cluster management, monitoring, tagging, and platform optimisation.
- Implementing CI/CD and DevOps best practices across data pipelines and platform components.
- Taking ownership of design decisions and long‑term architectural direction.
SKILLS AND EXPERIENCE
The successful Lead Data Engineer will have the following skills and experience:
- Deep expertise with Azure Databricks, including development, deployment, and platform‑level engineering.
- Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory.
- Solid understanding of DevOps practices including CI/CD and automated testing.
- Experience with monitoring, logging, and alerting solutions.
- Ability to work effectively with stakeholders across engineering functions.
BENEFITS
The successful Lead Data Platform Engineer will receive the following benefits:
- Salary between £75,000 – £85,000 – depending on experience
- Competitive bonus and benefits.
- Remote work with a flexible 35-hour week that can be taken as a 4-day week.
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
Lead Data Platform Engineer
Leeds
£75000 - £85000
+ Data Engineering
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
Lead Data Platform Engineer
£75,000 – £85,000
Remote
You are a well-experienced Lead Data Platform Engineer, looking to take ownership of a modern lakehouse platform and shape best‑in‑class data engineering practices.
THE COMPANY
This industry-leading organisation serves specialist, people-first knowledge to its clients and is looking to provide further expertise by improving its data capabilities.
THE ROLE
As a Lead Data Engineer you will build a Databricks platform with ownership, shaping how data is engineered, deployed, automated, and governed in Azure.
Specifically, you can expect to be involved in the following:
- Designing and developing end‑to‑end data platform solutions in Azure using Databricks
- Building and maintaining automation for cluster management, monitoring, tagging, and platform optimisation.
- Implementing CI/CD and DevOps best practices across data pipelines and platform components.
- Taking ownership of design decisions and long‑term architectural direction.
SKILLS AND EXPERIENCE
The successful Lead Data Engineer will have the following skills and experience:
- Deep expertise with Azure Databricks, including development, deployment, and platform‑level engineering.
- Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory.
- Solid understanding of DevOps practices including CI/CD and automated testing.
- Experience with monitoring, logging, and alerting solutions.
- Ability to work effectively with stakeholders across engineering functions.
BENEFITS
The successful Lead Data Platform Engineer will receive the following benefits:
- Salary between £75,000 – £85,000 – depending on experience
- Competitive bonus and benefits.
- Remote work with a flexible 35-hour week that can be taken as a 4-day week.
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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