205 Predictive Models jobs in the United Kingdom

• Responsible for data analysis, entry and Validation related activities across the Pirbright manufacturing facility, to enable the large scale production of FMD and BTV antigen and finished product in a timely and cost effective manner.
• Analyse production data to identify trends, deviations, and performance metrics.
• Assist in the execution of cleaning validation protocols in line with GMP requirements.
• Bring in SQL / Power BI approaches to improve the site approach to data.
• Support sampling, documentation, and coordination of validation activities.

• GMP experience is essential
• Have a scientific or engineering discipline degree (e.g., Biochemistry, Biotechnology, Chemical Engineering, Pharmaceutical Sciences).
• Understanding of cleaning validation principles and documentation practices.
• Experience with data handling and analytics
• Knowledge of HSE, bio-safety standards, GMP regulations as well as main tools and principles of operational excellence

• Lead the design, development, implementation, and maintenance of scalable bioinformatics pipelines for next-generation sequencing (NGS) data analysis (e.g., WGS, WES, RNA-Seq).
• Analyse and interpret complex genomic and transcriptomic datasets to identify genetic variants, gene expression patterns, and other biologically relevant insights.
• Collaborate closely with biologists, geneticists, clinicians, and computational scientists to define project goals and analytical strategies.
• Develop and apply statistical and machine learning methods for genomic data analysis.
• Ensure the quality, reproducibility, and documentation of all bioinformatics analyses and workflows.
• Stay abreast of the latest advancements in bioinformatics, genomics, and related computational fields.
• Mentor and guide junior bioinformaticians and data analysts.
• Contribute to research proposals, grant applications, and publications.
• Manage data storage, processing, and computational resources effectively.
• Present findings to scientific teams and external collaborators.

• PhD in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related quantitative field.
• Minimum of 6 years of post-doctoral or industry experience in bioinformatics, with a strong focus on genomics data analysis.
• Extensive experience with NGS data processing and analysis pipelines (e.g., BWA, GATK, STAR, Salmon).
• Proficiency in programming languages such as Python, R, and shell scripting.
• Strong knowledge of statistical methods and machine learning techniques applicable to genomics.
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Singularity) is highly desirable.
• Proven ability to manage complex projects and lead a small team.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with a track record of publications.
• Ability to work independently and collaboratively in a remote research environment.

At Tata Technologies we make product development dreams a reality by designing, engineering and validating the products of tomorrow for the worlds leading manufacturers. Due to our continued growth we are now recruiting for a Data Analysis Engineer SOX Algorithm to be based at our customers site in Gaydon .

Our Embedded Systems Solutions department (ESS) encompasses all activities outlined under th.

WHJS1_UKTJ

Job Description CK Group are recruiting for a Data Analysis and Validation Associate to join a global animal health company on a contract basis for 12 months.

Salary:

£147.90 per day PAYE

Data Analysis and Validation Associate role:

Responsible for data analysis, entry and Validation related activities across the Pirbright manufacturing facility, to enable the large scale production of FMD and BTV antigen and finished product in a timely and cost effective manner.
Analyse production data to identify trends, deviations, and performance metrics.
Assist in the execution of cleaning validation protocols in line with GMP requirements.
Bring in SQL / Power BI approaches to improve the site approach to data.
Support sampling, documentation, and coordination of validation activities.

Your Background :

GMP experience is essential
Have a scientific or engineering discipline degree (e.g., Biochemistry, Biotechnology, Chemical Engineering, Pharmaceutical Sciences).
Understanding of cleaning validation principles and documentation practices.
Experience with data handling and analytics
Knowledge of HSE, bio-safety standards, GMP regulations as well as main tools and principles of operational excellence

Company:

Our client is a leading manufacturer of vaccines, parasiticides and pharmaceuticals to protect animals. They are also one of the fastest growing animal health companies in the UK.

Location:

This role is based at our clients site near Pirbright.

Apply:

For more information, or to apply for this Data Analysis and Validation Associate role, please contact the Key Accounts Team on or email Please quote reference 150 622.

It is essential that applicants hold entitlement to work in the UK

Please note: This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.

INDKA

Job title: Machine Learning Engineer

Locations: Manchester or Haywards Heath (hybrid working)

Role overview

Markerstudy Group have an exciting opportunity for a machine learning engineer to fill out the automation, pipelining, DevOps, and modelling aspects of Markerstudy’s market-leading technical modelling and pricing team. You will productionise novel insurance modelling processes as an automated machine learning pipeline within a cloud-based environment.

Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. Most of Markerstudy’s business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury’s, O2, Halifax, AA, Saga and Lloyds Bank to list a few.

As a Machine Learning Engineer, you will help build and maintain the pricing team’s MLOps and ML Lifecycle environment to support the creation of pipelines by automating the sophisticated machine learning models and processes that underpin our market-leading technical modelling and pricing function.

Key Responsibilities:

• Build an MLOps / DevOps environment to support machine learning automation
li>Build the pipelines that automate the regular model update and monitoring processes
• Build a framework that supports the creation, deployment, maintenance, and monitoring elements that non-data scientist and machine learning analysts produce, including assisting with hyper-parameter tuning, feature engineering, feature selection, and validation, reporting and visualisation, and communication processes.
• Work closely with the data science team to integrate modelling approaches and techniques

Key Skills and Experience:

• Previous experience as a DevOps / MLOps engineer
• Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud)
• Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling – from the ground-up, not only through the use of packages and libraries
< i>Proficient at communicating results in a concise manner both verbally and written
• Previous industry experience in a STEM role or educated to the Master’s level in a STEM or DS / ML / AI or maths-based discipline.

Behaviours:

< i>Collaborative and team player
• Logical thinker with a professional and positive attitude
• Passion to innovate and improve processes
• Strong grasp of industry standards, and proficient in either Python, R, or both

Job title: Machine Learning Engineer

Locations: Manchester or Haywards Heath (hybrid working)

Role overview

Markerstudy Group have an exciting opportunity for a machine learning engineer to fill out the automation, pipelining, DevOps, and modelling aspects of Markerstudy’s market-leading technical modelling and pricing team. You will productionise novel insurance modelling processes as an automated machine learning pipeline within a cloud-based environment.

Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. Most of Markerstudy’s business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury’s, O2, Halifax, AA, Saga and Lloyds Bank to list a few.

As a Machine Learning Engineer, you will help build and maintain the pricing team’s MLOps and ML Lifecycle environment to support the creation of pipelines by automating the sophisticated machine learning models and processes that underpin our market-leading technical modelling and pricing function.

Key Responsibilities:

• Build an MLOps / DevOps environment to support machine learning automation
li>Build the pipelines that automate the regular model update and monitoring processes
• Build a framework that supports the creation, deployment, maintenance, and monitoring elements that non-data scientist and machine learning analysts produce, including assisting with hyper-parameter tuning, feature engineering, feature selection, and validation, reporting and visualisation, and communication processes.
• Work closely with the data science team to integrate modelling approaches and techniques

Key Skills and Experience:

• Previous experience as a DevOps / MLOps engineer
• Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud)
• Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling – from the ground-up, not only through the use of packages and libraries
< i>Proficient at communicating results in a concise manner both verbally and written
• Previous industry experience in a STEM role or educated to the Master’s level in a STEM or DS / ML / AI or maths-based discipline.

Behaviours:

< i>Collaborative and team player
• Logical thinker with a professional and positive attitude
• Passion to innovate and improve processes
• Strong grasp of industry standards, and proficient in either Python, R, or both

A PhD level Machine Learning Scientist is needed to join this amazing research team based near King’s Cross. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning.

You will play a key role in designing, implementing, and advancing cutting-edge methods in:

• Reinforcement Learning (RL)
• Large Language Models (LLMs)
• Optimisation for Deep Learning

You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications.

Experience Required:

• A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field
• A track record of publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL) (This is essential)
• Deep expertise in at least one of: RL, LLMs, or large-scale Optimisation for deep learning
• Good programming skills in Python and experience with deep learning frameworks
• A passion for advancing AI research and contributing to the global ML community

Key selling points

• Work on cutting-edge AI challenges with a talented, multidisciplinary team
• Collaborate with leading academic and industry partners
• Access to high-performance computing resources
• Publish your work at the leading conferences
• VISA sponsorship available

If you’re driven by curiosity, thrive in a research-focused environment, and want to contribute to the next wave of AI innovation, then please apply today

A PhD level Machine Learning Scientist is needed to join this amazing research team based near King’s Cross. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning.

You will play a key role in designing, implementing, and advancing cutting-edge methods in:

• Reinforcement Learning (RL)
• Large Language Models (LLMs)
• Optimisation for Deep Learning

You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications.

Experience Required:

• A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field
• A track record of publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL) (This is essential)
• Deep expertise in at least one of: RL, LLMs, or large-scale Optimisation for deep learning
• Good programming skills in Python and experience with deep learning frameworks
• A passion for advancing AI research and contributing to the global ML community

Key selling points

• Work on cutting-edge AI challenges with a talented, multidisciplinary team
• Collaborate with leading academic and industry partners
• Access to high-performance computing resources
• Publish your work at the leading conferences
• VISA sponsorship available

If you’re driven by curiosity, thrive in a research-focused environment, and want to contribute to the next wave of AI innovation, then please apply today

A PhD level Machine Learning Scientist is needed to join this amazing research team based near Cambridge. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning.

You will play a key role in designing, implementing, and advancing cutting-edge methods in:

• Reinforcement Learning (RL)
• Large Language Models (LLMs)
• Optimisation for Deep Learning

You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications.

Experience Required:

• A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field
• A track record of publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL) (This is essential)
• Deep expertise in at least one of: RL, LLMs, or large-scale Optimisation for deep learning
• Good programming skills in Python and experience with deep learning frameworks
• A passion for advancing AI research and contributing to the global ML community

Key selling points

• Work on cutting-edge AI challenges with a talented, multidisciplinary team
• Collaborate with leading academic and industry partners
• Access to high-performance computing resources
• Publish your work at the leading conferences
• VISA sponsorship available

If you’re driven by curiosity, thrive in a research-focused environment, and want to contribute to the next wave of AI innovation, then please apply today