Data Freelance Hub

Overview This role is for a Security Data Engineer on a long-term contract in Bristol, UK, with a pay rate of "competitive". Key skills include cyber security, DDoS protection, networking, and familiarity with Azure and GCP. Prior cyber security experience is essential. Responsibilities The Digital Edge & Cyber Security team within Digital Frameworks deliver and maintain security solutions for our Enterprise and Digital Channels. Examples of what we focus on include, but not limited to; DDoS, Vulnerability management and threat intelligence, certification, ensuring layer 6 & 7 defences are one step ahead of cyber criminals. We're involved in all the incidents and threats to Lloyds cyber security to understand how we can mitigate future attacks. Looking to the future there will be a focus on Automation & Terraform! You'll also help develop and deliver cyber security solutions for the Group including critical Work with our target cloud platforms to deliver our future security software and configurations using Akamai, GCP and Azure cloud native products. Qualifications A prior background within cyber security and a passion to continuously understand and learn the latest in cyber defences. Good knowledge of DDoS, Bot and DNS protection. Solid understanding of how cyber defence is applied through the networking layers (routing/switching, IP, network protocols, firewalls, WAF). Experience engaging and support key internal relationships.

This role is for an Azure Databricks Data Engineer in London & Manchester, offering a permanent or contract position. Requires 5+ years in data engineering, expertise in Azure technologies, and strong data modeling skills. Freelance data hiring powered by an engaged, trusted community - not a CV database. Ideal Profile Requirements Minimum 5 years' experience leading technical delivery or managing project teams in data engineering or integration. 8-10 years' experience in data engineering and integration in large enterprise environments. Deep expertise in Azure Databricks, Azure Data Factory, Azure Synapse, and Azure Data Lake. Hands on experience with Spark (PySpark/SparkSQL), ETL/ELT development, and data pipeline orchestration. Strong data modelling skills (Dimensional, ODS, Data Vault) and knowledge of data warehousing concepts. 85 Great Portland Street, London, England, W1W 7LT

- Featured Role Apply direct with Data Freelance Hub This role is for a Senior Cloud Engineer focused on a Core Data Platform in London (Hybrid). It offers a 12 month FTC at £75 000 - £95 000. Key skills include Snowflake, AWS, Terraform, and data engineering experience in cloud native environments. Role Overview PE backed media & data technology business building an in house engineering capability around a live, revenue critical data platform. This senior, hands on role focuses on running, improving and scaling a complex cloud data environment as ownership moves in house. Responsibilities Production Snowflake data warehouse Data pipeline reliability and correctness AWS infrastructure, cost and performance Clean rooms and data collaboration workflows CI/CD, monitoring and operational standards Clear documentation and runbooks Technical Stack Snowflake AWS (Lambda, S3, Glue, RDS, IAM, VPC) Terraform GitLab AWS native monitoring and security tools Qualifications Senior Cloud or Data Engineer with experience in cloud native environments Operated Snowflake at scale in production systems Strong focus on reliability, performance and cost control Comfortable in evolving systems and environments Enjoys hands on responsibility over pure design work Early stage team influencer, shaping processes and practices Why It's Worth a Look This is a real platform already generating revenue. The problems are practical, not theoretical. You'll have clear ownership, direct influence, and the opportunity to be close to the system and decisions, building a proper in house engineering function around a live data product.

A leading data technology firm in the UK is searching for a Senior Cloud Engineer to focus on a Core Data Platform. This hybrid position offers a 12-month FTC with a salary range of £75,000 to £95,000. The successful candidate will have significant experience with Snowflake, AWS, and Terraform, contributing to the operations and scalability of a complex cloud environment. Candidates will have the opportunity to work closely with the team in building performance-driven data solutions.

Lead Data Business Analyst, £700 per day, initial 6 month contract (with potential extension or permanent position), inside IR35. Location: Reading, England, United Kingdom. About the Role We are partnering with a specialist Data Consultancy that is seeking an experienced Senior Data Business Analyst to join their team. This role will play a key part in delivering end to end data solutions, from gathering business requirements to validating data ingestion processes and ensuring data quality. The ideal candidate will be a self starter who thrives in ambiguous environments and can take high level requests, build effective solutions, and deliver results without the need for micromanagement. This is a fantastic opportunity to join a business that has just secured £50 million in investment and are working on a huge utilities project of national importance. This consultancy is building an elite team of data professionals, already outpacing competitors in the data consultancy space. Key Responsibilities Work closely with stakeholders to understand business requirements and translate them into actionable data solutions. Take ownership of ambiguous requests, develop structured solutions, and deliver results independently. Define and validate data ingestion processes, data quality rules, and overall data integrity. Collaborate with technical teams to ensure that data platforms meet business needs. Identify gaps in data structures and recommend improvements. Document requirements and processes as needed, balancing documentation needs with project priorities. Ensure data governance best practices are followed. Requirements Proven experience as a Data Business Analyst, ideally in a consultancy or data driven environment. Strong experience with data platforms, ingestion processes, and data validation. Expertise in data quality rules and working with property data is highly desirable. Ability to work autonomously, take ambiguous business needs, and convert them into structured solutions. Excellent stakeholder management skills with the ability to communicate complex data concepts clearly. Experience with SQL, data modelling, and BI/reporting tools is beneficial. This role is ideal for a senior level Data Business Analyst who is confident in navigating complex data challenges and delivering meaningful solutions. We may be looking to hire two individuals for this role, so if you have a colleague who would be a great fit, let us know! Business Analyst / Data Business Analyst / Data Analyst / Systems Analyst / Project Manager. Freelance data hiring powered by an engaged, trusted community - not a CV database. 85 Great Portland Street, London, England, W1W 7LT

A data-focused recruiting platform seeks an experienced Azure Databricks Data Engineer for a permanent or contract position in London & Manchester. The ideal candidate will possess over 5 years of data engineering experience, deep expertise in Azure technologies, and strong data modeling skills. This role involves leading technical delivery in large enterprise environments and hands-on experience with Spark. Strong proficiency in data warehousing concepts is also required.

A technology consultancy based in Bristol is seeking a Security Data Engineer for a long-term contract. You'll be responsible for delivering and maintaining security solutions, focusing on cyber security, DDoS protection, and working with cloud platforms including Azure and GCP. The ideal candidate will possess strong knowledge of networking layers and have a passion for continuous learning in the cyber security domain. This role offers a competitive pay rate.

Overview Machine Learning Engineer on a contract basis, offering a competitive pay rate. Key skills include TensorFlow, Python, GCP, and experience with ML lifecycle management. Familiarity with recommender systems and A/B testing is essential. Location: United Kingdom What you'll be doing Model Development: Design, train, and optimise machine learning models for user personalisation, including recommendation systems, ranking models, user segmentation, and content understanding, with a strong focus on TensorFlow-based development. Data Pipeline Engineering: Build and maintain scalable data pipelines to support feature engineering and model training across large structured and unstructured datasets, leveraging cloud native tooling. Production Deployment: Deploy, monitor, and maintain ML models in production environments, including cloud based model serving on GCP. Ensure high availability, strong performance, and continuous model relevance. Experimentation: Lead A/B testing and offline experimentation to evaluate model performance and guide ongoing improvement. Cross Functional Collaboration: Work closely with engineering, product, data, and research teams to ensure ML solutions align with product and business goals. Research & Innovation: Stay informed on advances in machine learning, deep learning, and personalisation, and evaluate their integration into existing systems. What you'll bring End to end experience across the ML lifecycle: model development, training, deployment, monitoring, and continuous maintenance. Strong proficiency in Python and ML frameworks, with expertise in TensorFlow (and experience with PyTorch). Experience with GCP machine learning and data services (e.g., Vertex AI, Dataflow, BigQuery, AI Platform, Pub/Sub). Hands on experience with ML training frameworks such as TFX or Kubeflow Pipelines, and model serving technologies like TensorFlow Serving, Triton, or TorchServe. Background working with large scale batch and real time data processing systems. Strong understanding of recommender systems, ranking models, and personalisation algorithms. Familiarity with Generative AI and its use in production environments. Strong communication skills and analytical problem solving abilities. Freelance data hiring powered by an engaged, trusted community - not a CV database.

A remote data consulting firm is looking for a Data Scientist (Masters) - AI Data Trainer to tackle complex data challenges. In this role, you will develop advanced data science tasks, create rigorous solutions, and evaluate AI outputs for accuracy. The ideal candidate has a Master's or PhD in a related field, strong data science skills, and excellent analytical writing abilities. This is a flexible opportunity offering $40-$80/hour for 10-40 hours/week. Join us for location-independent work with competitive compensation.

A freelance data hiring platform seeks a skilled Machine Learning Engineer for contract work. The role requires designing, training, and optimising machine learning models with a strong emphasis on TensorFlow. Essential skills include Python, GCP services, and knowledge of recommender systems. Candidates must have end-to-end ML lifecycle experience and strong problem-solving abilities. This position offers a competitive pay rate and is an excellent opportunity to work across diverse data projects.

A technology consultancy is seeking a GIS Data Scientist to blend spatial analysis with advanced analytics to transform geospatial data into actionable insights. This role involves working with large datasets, developing predictive models, and creating dashboards for stakeholders. The position offers a daily rate of £650-£750 over a 2-month contract with the potential for extension, requiring 1 day per week in the office at Canary Wharf.

GIS Data Scientist (SC Cleared) Location: London, England - 2 month contract, 1 day per week in the office. Day rate: £650-£750 per day. Inside IR35. About the Role We are looking for a GIS Data Scientist to blend spatial analysis, advanced analytics and problem solving to turn geospatial data into actionable insights. You will work with large, complex datasets, build predictive models and support data driven decisions across the organisation. Key Responsibilities Acquire, clean and manage geospatial datasets from diverse sources (remote sensing, open data, internal systems, APIs). Perform spatial analysis, spatial statistics and geoprocessing to support strategic and operational projects. Develop predictive models and machine learning workflows using spatial and non spatial data. Build and maintain spatial databases, data pipelines and automated ETL processes. Create high quality maps, dashboards and visualisations for both technical and non technical stakeholders. Collaborate with cross functional teams to define requirements and deliver geospatial insights. Implement QA/QC best practices to ensure accuracy, reproducibility and data governance. Stay current with emerging geospatial technologies, standards and research. Skills & Experience Strong experience with GIS platforms (ArcGIS, QGIS) and geospatial libraries (GeoPandas, GDAL/OGR, Shapely, Rasterio). Proficiency in Python and/or R for data science and automation. Solid grounding in statistics, spatial analysis and machine learning methodologies. Experience with spatial databases (PostGIS, BigQuery GIS, SQL Server Spatial). Ability to communicate complex spatial insights clearly to diverse audiences. Experience working with remote sensing and raster datasets. Familiarity with cloud platforms (AWS, Azure, GCP) and big data tools - desirable. What We Offer Day rate: £650-£750 per day. 2 month contract with potential extension. 1 day per week in the office - Canary Wharf. Morgan Hunt is an equal opportunities employer. All applicants will be assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.

Data Scientist (Masters) - AI Data Trainer Featured Role Apply direct with Data Freelance Hub This role is a Data Scientist (Masters) - AI Data Trainer, offering a remote hourly contract for 10-40 hours/week at $40-$80/hour. Requires a Master's or PhD in a quantitative field, strong data science knowledge, and analytical writing skills. Location: Remote Compensation: $40-$80/hour Commitment: 10-40 hours/week What You'll Do Develop Complex Problems: Design advanced data science challenges across domains such as hyperparameter optimization, Bayesian inference, cross validation strategies, and dimensionality reduction. Author Ground Truth Solutions: Create rigorous, step by step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as "golden responses". Technical Auditing: Evaluate AI generated code (using libraries like Scikit Learn, PyTorch, or TensorFlow), data visualizations, and statistical summaries for technical accuracy and efficiency. Refine Reasoning: Identify logical fallacies in AI reasoning-such as data leakage, overfitting, or improper handling of imbalanced datasets-and provide structured feedback to improve the model's "thinking" process. Requirements Advanced Degree: Masters (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a heavy emphasis on data analysis. Domain Expertise: Strong foundational knowledge in core areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP. Analytical Writing: Ability to communicate highly technical algorithmic concepts and statistical results clearly and concisely in written form. Attention to Detail: High level of precision when checking code syntax, mathematical notation, and the validity of statistical conclusions. No AI experience required. Preferred Prior experience with data annotation, data quality, or evaluation systems. Proficiency in production level data science workflows (e.g., MLOps, CI/CD for models). Why Join Us Excellent compensation with location independent flexibility. Direct engagement with industry leading LLMs. Contractor advantages: high agency, agility, and international reach. More opportunities for contracting renewals. Application Process (Takes 15-20 min) Submit your resume. Complete a short screening. Project matching and onboarding. PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

This role is for a Principal/Senior Data Scientist on a 2 year contract, offering an annual salary of £44,905 £63,815. It is located in a hybrid work environment in Hinxton, England, United Kingdom. Candidates should have expertise in machine learning, Python, and experience in computational biology or related fields. About Us We are hiring a Senior Data Scientist/Principal Data Scientist to join the interdisciplinary Lotfollahi Group at the Wellcome Sanger Institute. Our mission is to develop data driven and biologically grounded AI tools for decoding complex cellular systems. We collaborate closely with the Human Cell Atlas, Sanger's single cell programs, and international leaders in the field. Research Focus Areas Spatial & Multi omics Atlas Construction - Build large scale spatial and single cell atlases across diseased tissues (pancreas, kidney, skin, liver) using spatial transcriptomics, scRNA seq, and multi ome data. Generative AI for Cell Fate & Perturbations - Develop diffusion, flow matching, and transformer based generative models to predict cell fate, tissue remodelling, and drug or perturbation responses in silico. Foundational Models for Single Cell Biology - Train large, generalizable deep models across public and internal datasets to support the Human Cell Atlas and broad Sanger research programs. Open Targets Translational AI Projects - Apply foundational and multi omics models to real world challenges in drug discovery, target identification, and target safety in collaboration with major pharma partners. Agentic AI for Scientific Reasoning & Experiment Design - Develop AI agents capable of hypothesis generation, experiment planning, and multi step scientific workflows using reinforcement learning and tool use models. Core Machine Learning Research - Advance fundamental ML methods tailored for biological data, including advanced generative modelling, scalable training algorithms, representation learning, and uncertainty modelling. Multimodal Learning (Imaging + Genomics + Clinical Data) - Create models that integrate histopathology imaging, spatial proteomics, single cell genomics, and patient level clinical data. Role Responsibilities Lead and manage transformative projects that integrate single cell genomics, spatial transcriptomics, and generative AI. Design, develop, and evaluate advanced ML models tailored to biological data. Translate complex scientific questions into computational solutions and present results to multidisciplinary teams. Provide scientific leadership in interdisciplinary research, supervising PhD students and postdoctoral fellows. Publish high impact papers and contribute to the open science community. Essential Skills & Qualifications MSc and/or Ph.D. in a quantitative discipline (e.g., Computational Biology, Bioinformatics, Statistics, Physics, Computer Science). Proven experience in advanced statistical techniques, machine learning, and modern deep learning frameworks (PyTorch, TensorFlow, SciPy, Scikit Learn). Strong programming skills in Python and experience with software development best practices (git, code reviews, package management). Experience with cloud environments (Amazon AWS S3, EC2, etc.) and data management pipelines. Excellent communication skills, able to explain complex methods to non technical stakeholders. Ability to work in a fast changing environment, prioritize tasks, and deliver consistent results. Publications in peer reviewed journals or preprint archives on machine learning or its application to biology. Experience in supervising PhD students or postdocs and writing manuscripts for publication. Application Process Please submit your CV and a cover letter detailing your research experience, interest in the focus areas, and future aspirations. The application deadline is 8th February 2026. Equality, Diversity and Inclusion We are committed to creating an inclusive culture where everyone can thrive. We welcome applications from all backgrounds, and all decisions are made without discrimination. Benefits Hybrid working arrangement with flexible working hours. Competitive salary and statutory benefits. Opportunities to publish and collaborate with leading researchers worldwide.

This role is for a Machine Learning Engineer with a contract length of multiple opportunities, offering £600-£700/day. Key skills include Python, MLOps, AWS, GCP, and Terraform. Work location is on-site in Amsterdam or London. Responsibilities Internal ML platform built on EKS Standardised stack: EKS, CKD, GitHub Actions, CI/CD, Terraform Heavy Python layer for automation and ML workflows Operate across AWS & GCP (cross-cloud experience is a big plus) MLOps focus: model deployment, monitoring, and scaling Collaborate with ML teams to unify infrastructure and pipelines Role Details Location: Amsterdam or London Rate: £600-£700/day depending on location Freelance data hiring powered by an engaged, trusted community - not a CV database. 85 Great Portland Street, London, England, W1W 7LT

A leading data-driven research organization is seeking a Principal/Senior Data Scientist for a 2-year contract. In this hybrid role based in Hinxton, England, you will lead innovative projects in single-cell genomics and generative AI, while employing machine learning techniques. The ideal candidate will possess an MSc or Ph.D. in a quantitative field, strong skills in Python and deep learning frameworks, and experience in supervising research participants. The position offers a competitive salary range of £44,905 to £63,815.

A leading financial services provider is seeking an Enterprise Data Architect for a senior contract role in London. The candidate will lead data architecture efforts, designing solutions across business areas and collaborating with various stakeholders. Ideal candidates should have extensive experience in the financial services sector, designing scalable architectures, and possess strong knowledge of data frameworks. The role offers hybrid working, with 2-3 days in the office and a competitive day rate of £950 - £1000 inside IR35.

Enterprise Data Architect (Senior - Contract) Leading Financial Services business is looking to bring in an Enterprise Data Architect to take ownership of strategic data architecture decisions within a complex, evolving environment. Responsibilities Lead the design of data roadmaps, patterns and operating models, working across multiple business areas to deliver consistent, scalable and value-driven data solutions. Partner with senior stakeholders, architects, analysts and engineers to shape how data is used and managed across the organisation. Qualifications Seasoned Data Architect with experience in the financial services sector. Proven track record designing scalable enterprise data architectures. Strong knowledge of data architecture frameworks, principles and patterns. Ability to influence and lead cross-functional design discussions. Experience translating strategy into practical delivery. Location & Working London - Hybrid working 2-3 days per week. Contract via Umbrella. £950 - £1000 per day (inside IR35). EEO Statement Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Recruitment Support If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you. Contact Freelance data hiring powered by an engaged, trusted community - not a CV database. 85 Great Portland Street, London, England, W1W 7LT