AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13119 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
May 27, 2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13119 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13118 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
May 27, 2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13118 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Data & AI Delivery Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13121 Senior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments. You will bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption. You will work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives. Key responsibilities: Leading the delivery of complex data and AI transformation programmes across multiple workstreams Managing multidisciplinary teams to deliver business critical technology outcomes Collaborating directly with clients to understand challenges and shape tailored solutions Translating technical requirements into business outcomes and delivery plans Managing programme risks, dependencies, timelines and stakeholder expectations Supporting the implementation of modern data platforms and AI driven solutions Providing technical guidance and oversight across delivery teams Building and maintaining strong relationships with client and business stakeholders Supporting programme governance, reporting and communication across large initiatives Applying market and industry knowledge to help shape client strategies and solutions Supporting pre sales activity, technical proposals and client presentations Coaching and mentoring team members across multidisciplinary environments Experience Required: Experience delivering large scale data, AI or technology transformation programmes Background within consulting, programme delivery, implementation or transformation environments Experience leading teams across complex projects and multiple workstreams Strong communication and stakeholder management skills with the ability to bridge technical and business audiences Experience gathering requirements and shaping solutions aligned to business objectives Understanding of AI technologies, modern data platforms and data management principles Knowledge of data governance, data quality and data strategy concepts Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high impact data and AI transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
May 27, 2026
Full time
Data & AI Delivery Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13121 Senior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments. You will bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption. You will work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives. Key responsibilities: Leading the delivery of complex data and AI transformation programmes across multiple workstreams Managing multidisciplinary teams to deliver business critical technology outcomes Collaborating directly with clients to understand challenges and shape tailored solutions Translating technical requirements into business outcomes and delivery plans Managing programme risks, dependencies, timelines and stakeholder expectations Supporting the implementation of modern data platforms and AI driven solutions Providing technical guidance and oversight across delivery teams Building and maintaining strong relationships with client and business stakeholders Supporting programme governance, reporting and communication across large initiatives Applying market and industry knowledge to help shape client strategies and solutions Supporting pre sales activity, technical proposals and client presentations Coaching and mentoring team members across multidisciplinary environments Experience Required: Experience delivering large scale data, AI or technology transformation programmes Background within consulting, programme delivery, implementation or transformation environments Experience leading teams across complex projects and multiple workstreams Strong communication and stakeholder management skills with the ability to bridge technical and business audiences Experience gathering requirements and shaping solutions aligned to business objectives Understanding of AI technologies, modern data platforms and data management principles Knowledge of data governance, data quality and data strategy concepts Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high impact data and AI transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
May 27, 2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
May 27, 2026
Seasonal
Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
May 27, 2026
Full time
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
EVENTS MANAGER £40,000 per annum subject to knowledge and experience ABOUT THE BIA The Bioindustry Association is the UK's trade association for innovative life sciences and biotech. We work with incredible entrepreneurs, scientists, business leaders, regulators, policy makers and advisors in a fascinating, vital and booming sector that spans global connections and the entire life sciences ecosystem in the UK. SUMMARY BACKGROUND AND ROLE We produce leading sector events - aimed at both our members and the wider life sciences community - currently ranging from Gala Dinner, thought leadership conferences, roundtables and boot-camps, vibrant networking events and broadcast webinars. All benefit from a high profile, trusted brand in the BIA and strong engaged communities. We are looking for an experienced Events Manager to join the existing events team here at BIA. The primary task is to plan and budget, market and manage a range of professional and high-quality events throughout the year, and deliver an agreed contribution - but we're looking also for somebody who comes with creative ideas and solutions for event delivery, with the experience and enthusiasm to help us explore and implement innovative formats. DUTIES AND RESPONSIBILITIES Event Manager will: Establish budgets for agreed events and agree with Associate Director, Events & Programmes Deliver these events to agreed budgets Work with Associate Director and Programme Manager to create sector-leading agendas and attract the best speakers Independently manage the selection of venues and online platforms (to spec and to budget) and relationships with all relevant suppliers (platform and app providers, caterers, contractors, equipment suppliers) In collaboration with Marketing team, establish branding for events and roll out across online and print collateral In collaboration with the Marketing team, plan and deliver marketing campaigns for agreed events, including drafting email communications and producing engaging copy to drive interest and registrations Report regularly to Associate Director and BIA forums on progress with events launches, delegate recruitment, logistical plans and event contribution Produce project plans where relevant and be 'on the ground' to manage these. Alternatively, to delegate sensibly and as agreed to other BIA staff Delegate management - to accurately manage delegate lists, joining instructions and answer queries Work with Senior Sponsorship Manager and wider BIA team to secure and manage sponsors to meet income targets, ensuring the financial success of each event Fulfilment of event and annual supporter expectations Manage post-event evaluation, and work with team members to address feedback and improve the event experience for delegates in a sustainable and ongoing way Manage event content, pages and microsites on the BIA website Accurately and systematically manage events functionality and bookings through our Event Management Software (Eventfolio) and MS Dynamics database Assist and support other events team members with the running of BIA events KNOWLEDGE, SKILLS AND EXPERIENCE Essential: Degree or equivalent with absolute minimum three years' experience in managing events Excellent organisational skills, able to work under pressure and within tight timelines Ability to confidently liaise with contacts at all levels Excellent oral and written communications Experience in using all standard Microsoft programmes and managing online events booking functionality is essential Experience of managing both live and virtual events is essential (e.g. Zoom webinars) A self-starter who is able to work independently and collaboratively as part of a team Meticulous attention to detail and methodical approach to work Problem solving, solutions-driven attitude Proactive approach in offering assistance when required Desirable: Experience of using Microsoft Dynamics and online webinar platforms Experience of working with an online content management system (website management) Interest in life sciences and/or politics/public affairs Experience of working in the membership or trade association sector Experience of working with Corporate Members and Sponsors WORKING FOR THE BIA Building a thriving, diverse workplace is a priority across all industries. The BIA is committed to providing a fair and equitable working environment, to attract and nurture people from all backgrounds. We value the individuality and diversity that employees bring to the company throughout our activities. We are currently working in a hybrid pattern, whereby we work 3 days in the office and 2 from home. This is under review and at the discretion of the business. HOW TO APPLY Interested candidates are invited to submit their resume/CV and a cover letter detailing their relevant experience, with reference to the job description, outlining their approach to the role. Please note that all offers of employment are subject to two satisfactory references and proof of eligibility to work in the UK. Applications written using an AI generator will not be accepted. Please email your application using the button below with the subject line "Events Manager Application - Your Full Name ." Deadline for applications is Monday 15th June 2026 at 9am. Initial interviews will take place during week(s) of 15/22 June, dependent on availability. We are committed to providing equal opportunities and creating an accessible workplace. If you require any reasonable accommodations during the application, interview or assessment process, please let us know when you apply.
May 23, 2026
Full time
EVENTS MANAGER £40,000 per annum subject to knowledge and experience ABOUT THE BIA The Bioindustry Association is the UK's trade association for innovative life sciences and biotech. We work with incredible entrepreneurs, scientists, business leaders, regulators, policy makers and advisors in a fascinating, vital and booming sector that spans global connections and the entire life sciences ecosystem in the UK. SUMMARY BACKGROUND AND ROLE We produce leading sector events - aimed at both our members and the wider life sciences community - currently ranging from Gala Dinner, thought leadership conferences, roundtables and boot-camps, vibrant networking events and broadcast webinars. All benefit from a high profile, trusted brand in the BIA and strong engaged communities. We are looking for an experienced Events Manager to join the existing events team here at BIA. The primary task is to plan and budget, market and manage a range of professional and high-quality events throughout the year, and deliver an agreed contribution - but we're looking also for somebody who comes with creative ideas and solutions for event delivery, with the experience and enthusiasm to help us explore and implement innovative formats. DUTIES AND RESPONSIBILITIES Event Manager will: Establish budgets for agreed events and agree with Associate Director, Events & Programmes Deliver these events to agreed budgets Work with Associate Director and Programme Manager to create sector-leading agendas and attract the best speakers Independently manage the selection of venues and online platforms (to spec and to budget) and relationships with all relevant suppliers (platform and app providers, caterers, contractors, equipment suppliers) In collaboration with Marketing team, establish branding for events and roll out across online and print collateral In collaboration with the Marketing team, plan and deliver marketing campaigns for agreed events, including drafting email communications and producing engaging copy to drive interest and registrations Report regularly to Associate Director and BIA forums on progress with events launches, delegate recruitment, logistical plans and event contribution Produce project plans where relevant and be 'on the ground' to manage these. Alternatively, to delegate sensibly and as agreed to other BIA staff Delegate management - to accurately manage delegate lists, joining instructions and answer queries Work with Senior Sponsorship Manager and wider BIA team to secure and manage sponsors to meet income targets, ensuring the financial success of each event Fulfilment of event and annual supporter expectations Manage post-event evaluation, and work with team members to address feedback and improve the event experience for delegates in a sustainable and ongoing way Manage event content, pages and microsites on the BIA website Accurately and systematically manage events functionality and bookings through our Event Management Software (Eventfolio) and MS Dynamics database Assist and support other events team members with the running of BIA events KNOWLEDGE, SKILLS AND EXPERIENCE Essential: Degree or equivalent with absolute minimum three years' experience in managing events Excellent organisational skills, able to work under pressure and within tight timelines Ability to confidently liaise with contacts at all levels Excellent oral and written communications Experience in using all standard Microsoft programmes and managing online events booking functionality is essential Experience of managing both live and virtual events is essential (e.g. Zoom webinars) A self-starter who is able to work independently and collaboratively as part of a team Meticulous attention to detail and methodical approach to work Problem solving, solutions-driven attitude Proactive approach in offering assistance when required Desirable: Experience of using Microsoft Dynamics and online webinar platforms Experience of working with an online content management system (website management) Interest in life sciences and/or politics/public affairs Experience of working in the membership or trade association sector Experience of working with Corporate Members and Sponsors WORKING FOR THE BIA Building a thriving, diverse workplace is a priority across all industries. The BIA is committed to providing a fair and equitable working environment, to attract and nurture people from all backgrounds. We value the individuality and diversity that employees bring to the company throughout our activities. We are currently working in a hybrid pattern, whereby we work 3 days in the office and 2 from home. This is under review and at the discretion of the business. HOW TO APPLY Interested candidates are invited to submit their resume/CV and a cover letter detailing their relevant experience, with reference to the job description, outlining their approach to the role. Please note that all offers of employment are subject to two satisfactory references and proof of eligibility to work in the UK. Applications written using an AI generator will not be accepted. Please email your application using the button below with the subject line "Events Manager Application - Your Full Name ." Deadline for applications is Monday 15th June 2026 at 9am. Initial interviews will take place during week(s) of 15/22 June, dependent on availability. We are committed to providing equal opportunities and creating an accessible workplace. If you require any reasonable accommodations during the application, interview or assessment process, please let us know when you apply.
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Associate Director, AI Data Scientist will be responsible for leading the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Lead the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Lead the development and implementation of GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Build and maintain strategic relationships with external subject matter experts, including healthcare providers, medical researchers, regulators, and AI technology partners, to ensure alignment of AI solutions and stay current with emerging technologies and methodologies in the field. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high computer cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly to the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 7 - 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Experience/Knowledge in digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Associate Director, AI Data Scientist will be responsible for leading the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Lead the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Lead the development and implementation of GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Build and maintain strategic relationships with external subject matter experts, including healthcare providers, medical researchers, regulators, and AI technology partners, to ensure alignment of AI solutions and stay current with emerging technologies and methodologies in the field. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high computer cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly to the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 7 - 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Experience/Knowledge in digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Associate Director, AI Data Scientist will be responsible for leading the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Lead the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Lead the development and implementation of GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Build and maintain strategic relationships with external subject matter experts, including healthcare providers, medical researchers, regulators, and AI technology partners, to ensure alignment of AI solutions and stay current with emerging technologies and methodologies in the field. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high computer cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly to the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 7 - 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Experience/Knowledge in digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Associate Director, AI Data Scientist will be responsible for leading the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Lead the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Lead the development and implementation of GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Build and maintain strategic relationships with external subject matter experts, including healthcare providers, medical researchers, regulators, and AI technology partners, to ensure alignment of AI solutions and stay current with emerging technologies and methodologies in the field. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high computer cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly to the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 7 - 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Experience/Knowledge in digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Associate Director, AI Data Scientist will be responsible for leading the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Lead the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Lead the development and implementation of GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Build and maintain strategic relationships with external subject matter experts, including healthcare providers, medical researchers, regulators, and AI technology partners, to ensure alignment of AI solutions and stay current with emerging technologies and methodologies in the field. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high computer cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly to the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 7 - 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Experience/Knowledge in digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Associate Director, AI Data Scientist will be responsible for leading the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Lead the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Lead the development and implementation of GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Build and maintain strategic relationships with external subject matter experts, including healthcare providers, medical researchers, regulators, and AI technology partners, to ensure alignment of AI solutions and stay current with emerging technologies and methodologies in the field. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high computer cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly to the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 7 - 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Experience/Knowledge in digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Associate Director, AI Data Scientist will be responsible for leading the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Lead the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Lead the development and implementation of GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Build and maintain strategic relationships with external subject matter experts, including healthcare providers, medical researchers, regulators, and AI technology partners, to ensure alignment of AI solutions and stay current with emerging technologies and methodologies in the field. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high computer cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly to the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 7 - 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Experience/Knowledge in digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Associate Director, AI Data Scientist will be responsible for leading the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Lead the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Lead the development and implementation of GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Build and maintain strategic relationships with external subject matter experts, including healthcare providers, medical researchers, regulators, and AI technology partners, to ensure alignment of AI solutions and stay current with emerging technologies and methodologies in the field. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high computer cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly to the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 7 - 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Experience/Knowledge in digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Associate Director, AI Data Scientist will be responsible for leading the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Lead the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Lead the development and implementation of GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Build and maintain strategic relationships with external subject matter experts, including healthcare providers, medical researchers, regulators, and AI technology partners, to ensure alignment of AI solutions and stay current with emerging technologies and methodologies in the field. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high computer cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly to the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 7 - 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Experience/Knowledge in digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Associate Director, AI Data Scientist will be responsible for leading the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Lead the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Lead the development and implementation of GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Build and maintain strategic relationships with external subject matter experts, including healthcare providers, medical researchers, regulators, and AI technology partners, to ensure alignment of AI solutions and stay current with emerging technologies and methodologies in the field. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high computer cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly to the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 7 - 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Experience/Knowledge in digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .