under time pressurewhile continuously refining and improving the systems over time. Essential 2:1 degree in computer science or relevant engineering discipline Python/C++/C, PyTorch, Numpy, Pandas, Tensorflow, Computer Vision, OpenCV, JavaScript, HTML Solution orientated with an ability to think outside the box Desirable experience Hands-on experience designing and implementing control mechanisms for production line automation More ❯
Essential 2:1 degree in computer science or relevant engineering discipline 5+ year Software Engineering lead experience, including system architect, mentoring, and code reviews Python/C++, PyTorch, Numpy, Pandas, Tensorflow, Computer Vision, OpenCV, JavaScript, HTML Hands-on experience designing and implementing control mechanisms for production line automation Solution orientated with an ability to think outside the box Desirable experience More ❯
Essential 2:1 degree in computer science or relevant engineering discipline 5+ year Software Engineering lead experience, including system architect, mentoring, and code reviews Python/C++, PyTorch, Numpy, Pandas, Tensorflow, Computer Vision, OpenCV, JavaScript, HTML Hands-on experience designing and implementing control mechanisms for production line automation Solution orientated with an ability to think outside the box Desirable experience More ❯
software development, including data acquisition and/or data analysis. (S&I) Experience developing well-designed, robust software in Python and its scientific packages (such as numpy, scipy, matplotlib, pandas). (S&I) Understanding of modern software development practices (e.g. testing, version control, continuous integration, Agile, object-oriented design). (S&I) Experience of leading software projects through the full More ❯
functional teams to enhance testing practices across cloud-native microservices and data platforms. You'll develop scalable test automation frameworks with a focus on data validation using tools like Pandas, and lead strategies for testing data lakes. Collaborate closely with QA and Java/Spring Boot development teams to ensure data quality and reliability across our sports technology ecosystem. What … Your Day Will Look Like Build scalable and robust frameworks for validating complex data systems, pipelines, and APIs using tools like Pandas, Great Expectations, and Java modules. Collaborate with development teams to design and implement automated tests for microservices, emphasizing Spring Boot and Java-based architectures. Implement testing strategies for AWS data lakes (e.g., S3, Glue, Athena) with a focus … methodologies and train teams to independently implement and use the automation frameworks. Skills, Knowledge, and Expertise Expertise in validating complex datasets, creating synthetic test data, and leveraging tools like Pandas and Python for comprehensive data quality assurance. Proven ability to build and maintain scalable test automation frameworks, with a focus on backend, API, and data systems using tools like Pytest More ❯
Milton Keynes, Buckinghamshire, South East, United Kingdom Hybrid / WFH Options
LA International Computer Consultants Ltd
experience of Bedrock, Sagemaker, Python and Pandas. Key Responsibilities: * Working experience LLMs under Bedrock and Sagemaker both Amazon * Python with APIs to ChatGPT * Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Key Skills & Experience: AWS Data Science Environment: Hands-on experience with Sage Maker, Lambda, Step Functions, S3, Athena. Model deployment and pipeline … OCR Use-Case Development: Proficiency with Amazon Tex-tract, Tesseract, and LLM-based OCR. Building document parsing pipelines, validations, and rule Python Proficiency: Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Writing clean, modular, and testable code. Traditional Machine Learning Models: Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests More ❯
model performance evaluation, hyperparameter tuning, and maintenance using tools like Vertex AI Pipelines. Cloud Computing (Google Cloud Platform - GCP Preferred) Technical Expertise & Tools Python: Advanced proficiency in data analysis (Pandas, NumPy), machine learning, PI development (Flask/FastAPI), and writing clean, maintainable code. SQL: Expertise in querying, database design/optimization, stored procedures, functions, partitioning/clustering strategies for BigQuery More ❯
approaches. Deployment: ship a model as a container, update an Airflow (or Azure Data Factory) job. Review: inspect dashboards, compare control vs. treatment, plan next experiment. Tech stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)SQL (Redshift, Snowflake or similar)AWS SageMaker Azure ML migration, with Docker, Git, Terraform, Airflow/ADFOptional extras: Spark, Databricks, Kubernetes. What you'll More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
lending strategy (SME or consumer lending preferred). Strong quantitative background (degree in Maths, Engineering, Physics, or similar). Experience building and maintaining predictive credit models. Fluency in Python (Pandas, NumPy, SciPy, Matplotlib) and SQL. Experience with advanced modelling techniques (e.g., Monte Carlo, Bayesian modelling) is a plus. Strong communicator. Commercial mindset and strong instincts around risk and return. Experience More ❯
Winchester, Hampshire, United Kingdom Hybrid / WFH Options
Bolt6
tight deadlines whilst remaining organised Strong analytical approach to problems Technical skills: Proficiency in Python Proficiency with version control (Git) Familiarity with containerisation (Docker) Familiarity with data processing tools (Pandas, NumPy) Experience using machine learning frameworks like PyTorch or TensorFlow Familiarity with cloud platforms and their ML services Benefits: MOST IMPORTANT: Your career Mentorship from senior machine learning engineers Access More ❯
Crawley, West Sussex, South East, United Kingdom Hybrid / WFH Options
Peregrine
science in finance, insurance or Ecommerce is an advantage but not required Experience of deployment in a cloud environment Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas Experience with API development SQL experience Software engineering experience DevOps/MLOps experience Good working understanding of CI/CD If you hold the experience and technical skills outlined above More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Career Concept
ingest data. Consult with internal and external stakeholders then deliver the solution. Experience required: STEM/Computer Science Degree OR sufficient commercial experience Good skills with Python. Use of Pandas is a bonus Experience building Data Pipelines/ETL using Python Experience consuming with REST API services 1 years + commercial experience with Python or languages such as JAVA, PHP More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
and reporting workflows Present clear, actionable pricing insights to commercial and executive stakeholders Must-Haves Master's in Statistics, Econometrics, Data Science or related quantitative field Expert in Python (pandas, scikit-learn) and advanced SQL for large-scale data manipulation Proven track record running A/B tests or causal analyses on pricing levers Excellent communication-able to explain complex More ❯
Ideally experience with de novo transcriptome assembly, Machine Learning and/or Artificial Intelligence, or experience mining genomic data Experience with Python and libraries such as SciPy, Pytorch, NumPy, Pandas etc. What Next? If you'd like to hear more about this exciting Bioinformatician position, just give me a call or drop me an email, I'd love to chat More ❯
extremely large datasets to support complex forensic analysis and reporting. Responsibilities Perform extensive data wrangling to clean, structure and prepare large datasets from multiple sources. Use SQL and Python (Pandas) to transform and load data into analytics environments. Conduct thorough quality checks, spotting inconsistencies or issues proactively. Support senior consultants by ensuring data is ready for robust comparative analysis and … essential. This work involves dissecting sensitive datasets to identify discrepancies and support complex conclusions, far beyond typical data analyst or BI dashboard work. Requires expert-level SQL and Python (Pandas) skills to handle hundreds of millions to billions of rows across diverse data sources. Key Requirements 3-5 years' data-focused experience in professional services or consulting environments. Proven track … or similar consultancy , delivering on complex, high-pressure projects. Advanced SQL for building, optimising and troubleshooting queries on very large static datasets. Expert Python scripting, with deep use of Pandas for data manipulation. Strong experience handling multiple data formats: Oracle databases, text files, XML. UK-based, with flexibility for occasional days in the London office. Desirable Experience with financial crime More ❯
Data Engineer Contract to Permanent Skills: Python, Pandas Hybrid London Rate: c400/day (outside) & 70k Transform Sustainability with Smart Data Simulations. Ready to code for a cleaner future? A cutting-edge sustainability start-up based in Central London is seeking an experienced Data Engineer to help transform how businesses reduce their carbon footprint. If you're fluent in Python … a master of Pandas, and passionate about building analytical models with customer data, this role offers you purpose and impact. What you’ll be doing Designing and implementing robust data pipelines Building simulations to model complex real-world customer behaviours Working with large and intricate data sets to uncover actionable insights Collaborating with analysts, scientists, and product teams to turn … data into sustainable solutions What we’re looking for Proven experience with Python and Pandas, especially in data analysis and simulation building A keen eye for data accuracy and insight generation Passion for sustainability and applying data to drive environmental progress Agile mindset with a start-up energy and solution-oriented approach Working model & contract type Hybrid setup (2 days More ❯
and sensitive data. Key responsibilities include: Ingesting and transforming large datasets (100M+ rows), from Oracle, SQL Server, and flat files (CSV, XML). Writing and reviewing SQL and Python (Pandas) scripts to clean and join data across multiple sources. Conducting forensic comparisons between data sources (e.g., matching millions of XML records to transactional logs). Supporting peer code reviews to … to troubleshoot logic and ensure audit-quality outputs. KEY SKILLS & REQUIREMENTS Strong SQL (T-SQL, Oracle, or PostgreSQL) - must be comfortable with complex joins and large volumes Python with Pandas - mandatory for data transformation and wrangling Experience working with large operational databases, text files, and legacy data sources Strong attention to detail and a forensic mindset - ability to spot inconsistencies More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
closely with both technical teams and business users. A self-starter who is proactive, detail-oriented, and committed to delivering value. Nice to Have: Some experience in Python (e.g., pandas, seaborn, matplotlib). Familiarity with cloud platforms (AWS, Azure). Previous exposure to transport/rail industry data or commercial systems. If you are interested in this role, please apply. More ❯
Data Science, with a proven track record of delivering impactful projects. Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with More ❯
You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with More ❯
to create bespoke, scalable data solutions Support data migration efforts from Azure to Databricks Use Terraform to manage and deploy cloud infrastructure Build robust data workflows in Python (e.g., pandas, PySpark) Ensure the platform is scalable, efficient, and ready for future AI use cases REQUIRED SKILLS & EXPERIENCE Strong experience with Azure and Databricks environments Advanced Python skills for data engineering … pandas, PySpark) Proficiency in designing and maintaining ETL pipelines Experience with Terraform for infrastructure automation Track record of working on cloud migration projects, especially Azure to Databricks Comfortable working onsite in London 2 days/week and engaging cross-functionally Strong communication and problem-solving abilities NICE TO HAVES Experience with Qlik or other data visualisation tools Exposure to AI More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
pricing strategy alongside product and business teams. Skills & Experience Essential: - PhD in a mathematics, statistics or quantitative field (or Master's with strong pricing experience). - Excellent Python and Pandas skills. - Strong understanding of machine learning principles (excluding deep learning). - Ability to work independently on complex mathematical problems. - Research-led mindset with a passion for optimisation. Desirable: - Experience with More ❯