478 AI Ml jobs in the United Kingdom

Our client is seeking a skilled AI/ML Engineer to join their growing technology team in Wolverhampton, West Midlands, UK . This role is for a motivated individual who is passionate about building and deploying artificial intelligence and machine learning models that drive innovation and solve real-world problems. You will be responsible for the entire lifecycle of ML models, from data preprocessing and feature engineering to model training, evaluation, deployment, and monitoring. This position offers a fantastic opportunity to work on diverse datasets and cutting-edge AI technologies, contributing to impactful projects that enhance business operations and customer experiences.

You will collaborate closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver robust ML solutions. Your responsibilities will include developing production-ready ML pipelines, implementing MLOps practices, and ensuring the scalability and reliability of deployed models. You will also be involved in selecting appropriate algorithms and frameworks, optimising model performance, and staying up-to-date with the latest advancements in the field. This role requires a strong blend of theoretical knowledge and practical implementation skills, enabling you to translate complex AI concepts into tangible business value. We are committed to fostering a culture of continuous learning and technical excellence.

We are looking for candidates with a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field. A minimum of 3 years of professional experience in AI/ML engineering or a closely related role is required. Proven experience in building and deploying machine learning models into production environments is essential. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Pandas is mandatory. Experience with MLOps tools and practices (e.g., Docker, Kubernetes, MLflow) and cloud platforms (AWS, Azure, GCP) is highly desirable. Strong understanding of data structures, algorithms, and software engineering principles is expected. Excellent problem-solving, analytical, and communication skills are crucial for success in this role. If you are an AI enthusiast eager to apply your skills in a practical, impactful setting, we encourage you to apply.

Key Responsibilities:

• Develop, train, and deploy machine learning models in production environments.
• Implement robust data preprocessing and feature engineering techniques.
• Build and maintain ML pipelines for efficient model lifecycle management.
• Utilise MLOps best practices for deployment, monitoring, and retraining.
• Collaborate with data scientists and stakeholders to define project requirements.
• Optimise model performance for scalability, speed, and accuracy.
• Stay informed about new AI/ML technologies and methodologies.
• Contribute to the design and architecture of AI solutions.

Qualifications:

• 3+ years of experience in AI/ML engineering or a related role.
• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Experience with MLOps tools and cloud platforms (AWS, Azure, GCP).
• Strong understanding of machine learning algorithms and concepts.
• Solid software engineering and data management skills.
• Excellent analytical and problem-solving abilities.
• Strong communication and teamwork skills.

Our client, a leader in AI and Emerging Technologies, is seeking a talented AI/ML Engineer to join their cutting-edge research and development team. This is a fully remote position, offering the opportunity to work on groundbreaking projects from anywhere in the UK. You will be responsible for designing, developing, and deploying advanced machine learning models and AI solutions.

Responsibilities:

• Design, build, train, and deploy machine learning models and algorithms to solve complex business problems.
• Develop and implement AI-driven applications and solutions.
• Perform data preprocessing, feature engineering, and model evaluation.
• Collaborate with data scientists, software engineers, and domain experts to integrate AI/ML models into production systems.
• Stay current with the latest research and advancements in AI, machine learning, and deep learning.
• Optimize model performance and scalability for real-world applications.
• Develop and maintain robust MLOps pipelines for model deployment, monitoring, and management.
• Write clean, efficient, and well-documented code in Python and relevant ML libraries.
• Contribute to the intellectual property of the company through research and development.
• Effectively communicate technical findings and model insights to both technical and non-technical stakeholders.

Qualifications:

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Proven experience in developing and deploying machine learning models in a production environment.
• Proficiency in programming languages such as Python, and libraries like TensorFlow, PyTorch, Scikit-learn, and Keras.
• Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services is highly desirable.
• Familiarity with MLOps practices and tools.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and collaboration skills, with the ability to work effectively in a remote team.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• A portfolio of AI/ML projects or contributions to open-source projects is advantageous.

Join us at the forefront of AI innovation and contribute to shaping the future. If you are passionate about artificial intelligence and possess the technical expertise required, this remote opportunity is for you.

Who we are:

interactive investor is an award-winning investment platform that puts its customers in control of their financial future.

We’ve been helping investors for nearly 30 years. We’ve seen market highs and lows and been resilient throughout. We’re now the UK’s number one flat-fee investment platform, with assets under administration approaching £75 billion and over 450,000 customers.

For a simple, flat monthly fee we provide a secure home for your pensions, ISAs and investments. We offer a wide choice of over 20,000 UK and international investment options, including shares, funds, trusts and ETFs.

We also bring impartial, expert content from our award-winning financial journalists, highly engaged community of investors, and daily newsletters and insights.

Purpose of Role

As an AI/ML Engineer in our Data & Innovation team, you will design, build, and deploy AI and machine learning solutions that deliver measurable value to both our customers and our employees. Your work will enable smarter, data-driven decisions, unlock advanced predictive and prescriptive capabilities, and drive greater productivity, efficiency, and customer value. This could include developing personalised investment experiences, advanced predictive models, and solutions using a range of model types—from small statistical approaches to large language models (LLMs)—that streamline processes and improve decision-making. You will apply engineering best practice to move rapidly from concept to production, ensuring every solution is ethical, fair, explainable, and compliant. Thriving in a collaborative environment, you will work closely with stakeholders, aligning your projects with Data & Innovation strategy, and relevant departmental strategies across the business, taking ownership of the full solution lifecycle. This is a role for someone who combines technical excellence, innovation, and a leadership mindset to make a tangible impact.

Key Responsibilities

• Design, develop, and deploy solutions and models ranging from small statistical and machine learning models to large language models (LLMs), applying them to diverse use cases such as personalised customer experiences, predictive analytics, process automation, and insight generation—using both proprietary and third-party/foundational models
• Create solutions that translate complex data into clear, actionable insights, leveraging data science methods and machine learning techniques to deliver customer and business value
• Own the end-to-end AI solution lifecycle: from ideation and functional design through prototyping, model training, testing, deployment, monitoring, and improvement
• Align all projects with the organisation’s Data & Innovation strategy, and relevant departmental strategies to ensure solutions deliver measurable impact across the business
• Build and maintain robust AI/ML pipelines from data ingestion through to production deployment
• Apply AIOps/MLOps/ModelOps best practices: version control, CI/CD, model monitoring, automated testing, and reproducibility
• Stay on top of emerging AI tools, frameworks, and research; contribute to R&D and innovation lab initiatives to explore new opportunities
• Ensure all models meet the highest standards for ethical practice, fairness, explainability, and compliance—critical in a regulated financial environment
• Collaborate effectively with stakeholders across departments to understand needs, ensure solutions align with business strategies, present findings, and refine outputs for maximum value
• Prepare and deliver clear communication and reporting on AI/ML project status, impact, and technical considerations to both technical and non-technical audiences
• Mentor and guide peers, acting as a trusted advisor and contributing to a culture of continuous learning

Requirements

Essential

• Proven experience designing, developing, and deploying solutions and models ranging from small statistical and machine learning models to large language models (LLMs), applied to varied business and customer contexts—including personalised experiences, predictive analytics, process automation, and insight generation—using both proprietary and third-party/foundational models
• Strong Python skills, with expertise in core data science and AI/ML libraries (pandas, NumPy, scikit-learn, TensorFlow, PyTorch, etc)
• Familiarity with additional programming languages such as Java, JavaScript/TypeScript, or C++ is beneficial, but your core expertise is in the Python ecosystem
• Skilled in core Data Science practices including data preprocessing, feature engineering, model evaluation, data orchestration, and data structures, etc
• Hands-on with AIOps/MLOps/ModelOps tooling (Docker, Kubernetes, MLflow, model monitoring, CI/CD)
• Experience integrating AI/ML solutions into business processes and operational systems
• Ability to work closely with stakeholders, translating business needs into technical solutions
• Strong understanding of ethical AI principles, fairness, and explainability
• Agile mindset—comfortable delivering iteratively and adapting to changing priorities

Valuable Extras

• Experience in financial services, fintech, or retail investing
• Knowledge of explainable AI/ML techniques, fairness audits, and bias mitigation
• Familiarity with intelligent automation or RPA platforms
• Cloud platform experience (AWS, Azure, or GCP) and managed AI/ML services
• Data platform experience (Snowflake, Dagster)
• Experience collaborating with Data Analytics and Data Scientists to translate exploratory analysis and models into production-ready AI/ML solutions
• Experience leveraging and fine-tuning third-party or foundational models (e.g. OpenAI, Anthropic, Hugging Face) alongside in-house proprietary models
• Contributions to open-source AI/ML projects or AI/ML community engagement
• Experience in R&D environments or innovation labs

Personal Attributes

• Motivated problem solver with rapid learning ability and adaptability
• Passionate about AI/ML and Data Science, committed to staying ahead of emerging trends and research
• Strong team player who values collaboration, knowledge sharing, and stakeholder engagement, and who can work effectively across teams to align AI/ML and Data Science initiatives with wider organisational strategies
• Confident in challenging ideas and open to having own ideas challenged
• Strong ethical approach, ensuring AI/ML and Data Science solutions are fair, transparent, and socially responsible
• Natural leadership qualities, with the ability to act as a trusted advisor and mentor others
• Clear and confident communicator with diverse audiences
• Takes ownership, works with speed, and focuses on delivering meaningful outcomes
• Curious, innovative, and driven to find smarter, more efficient ways of working

Benefits

• Group Personal Pension Plan – 8% employer contribution and 4% employee contribution
• Life Assurance and Group Income Protection
• Private Medical Insurance – Provided by Bupa
• 25 Days Annual Leave, plus bank holidays
• Staff Discounts on our investment products
• Personal & Well-being Fund – Supporting your physical and mental wellness
• Retail Discounts – Savings at a wide range of high street and online retailers
• Voluntary Flexible Benefits – Tailor your benefits to suit your lifestyle

Please Note:  We will do our utmost efforts to respond to all applicants. However, due to the high volume of applications we're currently receiving, if you haven't been contacted within 30 days of application, please consider unsuccessful.

interactive investor operates in accordance with the UK Equality Act 2010. We welcome applications from individuals of all ages, disabilities, gender identities, marital status, pregnancy/maternity, race, religion or belief, sex, and sexual orientation. We are committed to treating all applicants fairly and making reasonable adjustments where needed to support disabled applicants. We actively prevent all forms of discrimination, harassment, and victimisation—whether direct, indirect, associative, or perceptive

AI/ML and Data Science Developer

Hybrid - Stevenage 3/4dpw

£70,000 - £80,000

About the Role:

We are looking for an AI/ML and Data Science Developer to join a growing team working on cutting-edge Generative AI and Data Science solutions. This role offers the opportunity to design, develop, and deploy advanced AI/Machine Learning models, including Large Language Models (LLMs) and GenAI, while working with diverse datasets and modern deployment technologies.

You’ll play a key role in data processing, model fine-tuning, and deployment , helping to shape innovative solutions that make a tangible impact.

Key Responsibilities:

• Design, develop, and deploy AI/Machine learning models and solutions, including LLMs and GenAI.
• Fine-tune and evaluate open-source LLMs, applying techniques such as prompt engineering and model re-tuning.
• Work with a variety of structured and unstructured datasets, handling preprocessing, cleaning, and feature engineering.
• Develop pipelines for creating, preparing, and optimising data for modelling.
• Deploy models to production using containerisation tools (Docker, Kubernetes) and ensure scalability, robustness, and monitoring.
• Research and apply the latest advancements in Generative AI and data science.
• Support model evaluation, logging, and performance tuning across GPU-based environments.
• Collaborate with stakeholders to gather requirements and deliver solutions aligned to business needs.
• Document workflows, data pipelines, and model processes for knowledge transfer and reproducibility.

Key Skills & Experience:

• 4–5 years’ experience across AI/ML, data science, or data engineering, with recent hands-on work in GenAI.
• Proven experience fine-tuning and deploying open-source LLMs.
• Strong knowledge of AI/ML algorithms and techniques (supervised, unsupervised, reinforcement learning).
• Solid background in data preprocessing, wrangling, and feature engineering.
• Proficiency in Python (essential) and familiarity with relevant libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch).
• Experience with prompt engineering and model evaluation.
• Deployment experience using Docker or other containerisation tools.
• Exposure to GPU-based environments for large-scale model training and tuning.
• Experience with big data tools (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure) is a plus.
• Strong analytical mindset with the ability to translate data into actionable insights.

If you or someone you know of might be interested, please contact 01923 716 220 and ask for Ben.

At Johnson & Johnson,u202fwe believe health is everything. Our strength in healthcare innovation empowers us to build au202fworld where complex diseases are prevented, treated, and cured,u202fwhere treatments are smarter and less invasive, andu202fsolutions are personal.u202fThrough our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.u202fLearn more at


**Job Function:**



Career Programs



**Job Sub** **Function:**



Post Doc u2013 Data Analytics & Computational Sciences



**Job Category:**



Career Program



**All Job Posting Locations:**



High Wycombe, Buckinghamshire, United Kingdom, Leiden, Netherlands, Leiden, South Holland, Netherlands, Mechelen, Antwerp, Belgium, Zug, Switzerland



**Job Description:**



**Postdoctoral Scientist - AI/ML for Drug Design - Data Sciences Analytics & Insights, Data Sciences,** Johnson & Johnson Innovative Medicine



Johnson & Johnson Innovative Medicine is recruiting for a **Postdoctoral Scientist - AI/ML** to help advance AI/ML for Drug Design. The primary location for this position is High Wycombe, UK, or in Switzerland, Netherlands, Belgium, Germany and France, with up to 10% travel.



Remote working options will be considered on a case by case basis.



At Johnson & Johnson Innovative Medicine, we are working to create a world without diseaseu2014transforming lives by finding new and better ways to prevent, intercept, treat and cure disease. We bring together the best minds and pursue the most promising science. We are Johnson & Johnson Innovative Medicine. We collaborate with the world for the health of everyone in it.



The Data Science Analytics & Insights team within Johnson & Johnson Innovative Medicine develops innovative solutions using a variety of data sources across multiple different disease areas, encompassing oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease. We are looking for a highly motivated and innovative Postdoctoral Fellow who will work at the intersection of AI/ML and Drug Design.



**Key Responsibilities:**


Conceive, develop, and implement AI/ML solutions applied to drug design problems, including but not limited to, molecule structure generation/prediction and molecular property prediction, to help identify molecules that have the potential to become effective drugs
Work closely with a cross disciplinary team of AI/ML scientists, imaging experts, structural biologists, and computational chemists to design and implement computational approaches, analyze and interpret results, and communicate findings through internal presentations, conferences and scientific publications
Participate in cross-functional collaborations with external companies, academia, and internal scientific and data science teams
Extensive hands-on coding and actively contribute to platform development
Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making findings through peer-reviewed publications and/or scientific conferences



**Qualifications**


Ph.D. in EE/CS/Statistics/Applied math or related majors
Deep expertise in causality, such as causal discovery, causal representation learning; and/or Bayesian experimental design, such as Bayesian optimization, active learning
Strong background in one or more probabilistic models, such as Gaussian processes, Bayesian deep learning, dynamical systems
Track record of publications on top machine learning conference, e.g., ICML/NeurIPS/ICLR/AISTATS/UAI and statistical journals
Proficiency with one or more programming languages such as Python or C++. Proficiency in one or more AI frameworks such as PyTorch or Tensorflow
Excellent written and verbal communication skills
Ability to work independently and as part of a team
Familiarity with and exposure to drug discovery and clinical development processes is a plus
Hands-on technical data analysis, cloud computing (AWS, Azure), and dockerization is a plus



**Training Opportunities:**


Gain experience working in the pharmaceutical industry
Navigate and work within a matrix environment
Communication and presentation skills to clearly articulate results and impact to diverse audiences and partners through internal presentations, conferences, and scientific publications



For additional general information on company benefits, please go to:

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Function:**
Career Programs
**Job Sub** **Function:**
Post Doc - Data Analytics & Computational Sciences
**Job Category:**
Career Program
**All Job Posting Locations:**
High Wycombe, Buckinghamshire, United Kingdom, Leiden, Netherlands, Leiden, South Holland, Netherlands, Mechelen, Antwerp, Belgium, Zug, Switzerland
**Job Description:**
**Postdoctoral Scientist - AI/ML for Drug Design - Data Sciences Analytics & Insights, Data Sciences,** Johnson & Johnson Innovative Medicine
Johnson & Johnson Innovative Medicine is recruiting for a **Postdoctoral Scientist - AI/ML** to help advance AI/ML for Drug Design. The primary location for this position is High Wycombe, UK, or in Switzerland, Netherlands, Belgium, Germany and France, with up to 10% travel.
Remote working options will be considered on a case by case basis.
At Johnson & Johnson Innovative Medicine, we are working to create a world without disease-transforming lives by finding new and better ways to prevent, intercept, treat and cure disease. We bring together the best minds and pursue the most promising science. We are Johnson & Johnson Innovative Medicine. We collaborate with the world for the health of everyone in it.
The Data Science Analytics & Insights team within Johnson & Johnson Innovative Medicine develops innovative solutions using a variety of data sources across multiple different disease areas, encompassing oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease. We are looking for a highly motivated and innovative Postdoctoral Fellow who will work at the intersection of AI/ML and Drug Design.
**Key Responsibilities:**
+ Conceive, develop, and implement AI/ML solutions applied to drug design problems, including but not limited to, molecule structure generation/prediction and molecular property prediction, to help identify molecules that have the potential to become effective drugs
+ Work closely with a cross disciplinary team of AI/ML scientists, imaging experts, structural biologists, and computational chemists to design and implement computational approaches, analyze and interpret results, and communicate findings through internal presentations, conferences and scientific publications
+ Participate in cross-functional collaborations with external companies, academia, and internal scientific and data science teams
+ Extensive hands-on coding and actively contribute to platform development
+ Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making findings through peer-reviewed publications and/or scientific conferences
**Qualifications**
+ Ph.D. in EE/CS/Statistics/Applied math or related majors
+ Deep expertise in causality, such as causal discovery, causal representation learning; and/or Bayesian experimental design, such as Bayesian optimization, active learning
+ Strong background in one or more probabilistic models, such as Gaussian processes, Bayesian deep learning, dynamical systems
+ Track record of publications on top machine learning conference, e.g., ICML/NeurIPS/ICLR/AISTATS/UAI and statistical journals
+ Proficiency with one or more programming languages such as Python or C++. Proficiency in one or more AI frameworks such as PyTorch or Tensorflow
+ Excellent written and verbal communication skills
+ Ability to work independently and as part of a team
+ Familiarity with and exposure to drug discovery and clinical development processes is a plus
+ Hands-on technical data analysis, cloud computing (AWS, Azure), and dockerization is a plus
**Training Opportunities:**
+ Gain experience working in the pharmaceutical industry
+ Navigate and work within a matrix environment
+ Communication and presentation skills to clearly articulate results and impact to diverse audiences and partners through internal presentations, conferences, and scientific publications
For additional general information on company benefits, please go to:
+

**Job Description Summary**
Principal Engineer combine a high level of technical expertise with sound business acumen and a good understanding of engineering processes. As an AI/ML Principal Engineers, you are part of a formal career path for technical personnel wanting to continue to develop and grow your technical competencies while having increasingly more impact on the business.
As recognized experts in specialized fields, you will lead/support projects and initiatives with broad scope and high impact to the business. You will be responsible for major and complex assignments with long-term business implications. This role contributes to the overall strategy and manages complex issues within functional area of expertise.
**Job Description**
**Roles &** **Responsibilities** **:**
**Technical** **Leadership**
Support Consulting Engineers in business line technology strategy definition and Multi-Generational Product Plan (MGPP).
Chair Design reviews for individual components, sub-assemblies and key engineering deliverables at tendering and contract execution stages. Support Consulting Engineers in governance and trainings to reinforce proper execution of design review guidelines.
Identify, develop, evaluate, and introduce engineering solutions to create market winning proposals in anticipation of business product needs. Provide key technical direction to large projects during contract execution phase.
Provide technical consultation on product problems throughout the business including supplier and field support and perform technical rescues when needed.
Participate Patent Evaluation Board (PEB) to protect technology that gives the business a competitive advantage, as well as protecting the intellectual property rights of the company.
Represent the business externally at conferences or in professional working bodies (IEC, CIGRE etc) and maintain active relationship with relevant academic institutions to promote research projects and other academic cooperations.
Provide ad-hoc technical guidance to the Engineering/Technology management team as required, e.g., joining customer negotiations or supplier audits.
**Engineering/Technology Practices**
Support Consulting Engineers to safeguard design qualities. Organize lessons-learnt in one's own domain and make sure they are well documented and communicated throughout the organization to prevent repeated mistakes.
Maintain an active role in product introduction, cost improvements, schedule adherence and problem resolution to meet business needs.
Provide technical consultation to cross-functional teams within the business to improve or resolve manufacturing, supply, or field issues.
**Competency** **Governance**
Develop technical competencies by establishing and delivering structured technical training schemes within one's own business lines.
Support Consulting Engineers in reviewing Engineering competency frameworks specific to one's own business line.
**People Development**
Actively support Consulting Engineers with staff development & succession planning.
Participate interviews for promotions or hiring within Engineering/Technology up to the level of Senior Engineer.
Actively mentor and coach identified high potential Engineering talents within one's business lines.
**Required Qualifications/Experience:**
+ Bachelor of Science in Computer Science, Machine Learning, Engineering, or Mathematics.
+ At least 10 years of experience in an engineering capacity
**Desired Characteristics**
+ Experience with Machine Learning technologies, and software systems architecture
+ Ability to work across organizations in a matrix environment
+ Preferably having taken a Senior Engineer role
+ Strong oral and written communication skills
+ Strong interpersonal, responsive and leadership skills
+ Problem analysis and resolution skills
+ Able to pursue Engineering integrity in adverse conditions
+ Able to interface effectively with most levels of the organization
+ Lean experience preferred
**Additional Information**
**Relocation Assistance Provided:** No
#LI-Remote - This is a remote position
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

**Job Description Summary**
Principal Engineer combine a high level of technical expertise with sound business acumen and a good understanding of engineering processes. As an AI/ML Principal Engineers, you are part of a formal career path for technical personnel wanting to continue to develop and grow your technical competencies while having increasingly more impact on the business.
As recognized experts in specialized fields, you will lead/support projects and initiatives with broad scope and high impact to the business. You will be responsible for major and complex assignments with long-term business implications. This role contributes to the overall strategy and manages complex issues within functional area of expertise.
**Job Description**
**Roles &** **Responsibilities** **:**
**Technical** **Leadership**
Support Consulting Engineers in business line technology strategy definition and Multi-Generational Product Plan (MGPP).
Chair Design reviews for individual components, sub-assemblies and key engineering deliverables at tendering and contract execution stages. Support Consulting Engineers in governance and trainings to reinforce proper execution of design review guidelines.
Identify, develop, evaluate, and introduce engineering solutions to create market winning proposals in anticipation of business product needs. Provide key technical direction to large projects during contract execution phase.
Provide technical consultation on product problems throughout the business including supplier and field support and perform technical rescues when needed.
Participate Patent Evaluation Board (PEB) to protect technology that gives the business a competitive advantage, as well as protecting the intellectual property rights of the company.
Represent the business externally at conferences or in professional working bodies (IEC, CIGRE etc) and maintain active relationship with relevant academic institutions to promote research projects and other academic cooperations.
Provide ad-hoc technical guidance to the Engineering/Technology management team as required, e.g., joining customer negotiations or supplier audits.
**Engineering/Technology Practices**
Support Consulting Engineers to safeguard design qualities. Organize lessons-learnt in one's own domain and make sure they are well documented and communicated throughout the organization to prevent repeated mistakes.
Maintain an active role in product introduction, cost improvements, schedule adherence and problem resolution to meet business needs.
Provide technical consultation to cross-functional teams within the business to improve or resolve manufacturing, supply, or field issues.
**Competency** **Governance**
Develop technical competencies by establishing and delivering structured technical training schemes within one's own business lines.
Support Consulting Engineers in reviewing Engineering competency frameworks specific to one's own business line.
**People Development**
Actively support Consulting Engineers with staff development & succession planning.
Participate interviews for promotions or hiring within Engineering/Technology up to the level of Senior Engineer.
Actively mentor and coach identified high potential Engineering talents within one's business lines.
**Required Qualifications/Experience:**
+ Bachelor of Science in Computer Science, Machine Learning, Engineering, or Mathematics.
+ At least 10 years of experience in an engineering capacity
**Desired Characteristics**
+ Experience with Machine Learning technologies, and software systems architecture
+ Ability to work across organizations in a matrix environment
+ Preferably having taken a Senior Engineer role
+ Strong oral and written communication skills
+ Strong interpersonal, responsive and leadership skills
+ Problem analysis and resolution skills
+ Able to pursue Engineering integrity in adverse conditions
+ Able to interface effectively with most levels of the organization
+ Lean experience preferred
**Additional Information**
**Relocation Assistance Provided:** No
#LI-Remote - This is a remote position
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Our client, a pioneering technology firm based in Cambridge, Cambridgeshire, UK , is seeking an experienced Lead AI/ML Engineer. This exciting role offers the opportunity to drive innovation in artificial intelligence and machine learning by leading the development and deployment of sophisticated AI models and algorithms. You will be at the forefront of creating intelligent systems that solve complex real-world problems, working closely with a talented team of researchers and engineers in a collaborative, cutting-edge environment.

Key Responsibilities:

• Lead the design, development, and implementation of machine learning models and artificial intelligence solutions.
• Mentor and guide junior AI/ML engineers, fostering a culture of technical excellence.
• Collaborate with data scientists and domain experts to identify and address business challenges using AI.
• Develop and maintain robust ML pipelines for data preprocessing, model training, evaluation, and deployment.
• Research and implement state-of-the-art AI algorithms and techniques.
• Optimize model performance and efficiency for production environments.
• Ensure the ethical and responsible development of AI systems.
• Stay updated with the latest advancements in AI and ML research and apply them to relevant projects.
• Contribute to the overall technical strategy and roadmap for AI initiatives.
• Present findings and project progress to stakeholders and leadership.

Qualifications:

• Extensive experience in AI and Machine Learning development, with a strong portfolio of completed projects.
• Proficiency in Python and popular ML libraries/frameworks such as TensorFlow, PyTorch, scikit-learn.
• Deep understanding of various ML algorithms (e.g., deep learning, NLP, computer vision, reinforcement learning).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Strong programming skills and experience with software development best practices.
• Excellent problem-solving and analytical skills.
• Proven leadership and mentoring abilities.
• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.

Join our client's innovative team and play a pivotal role in shaping the future of AI. If you are passionate about pushing the boundaries of intelligent systems, we encourage you to apply.