
Senior AI & ML Engineer – Pharmaceutical – Hybrid (Macclesfield) - £700 (Outside IR35)
Hybrid
Macclesfield, United Kingdom
Freelance
12-03-2025
Job Specifications
Global pharmaceutical client is now searching for a Senior Engineer to design, develop and enhance their AI driven document generation systems.
This engineer will use LLM models and machine learning algorithms to improve model efficiency and accuracy.
Key responsibilities:
Develop and implement generative AI models to produce outputs such as text or images.
Research and apply advanced machine learning algorithms.
Handle large datasets and perform data cleaning.
Deploy AI models and applications on cloud platforms using containerisation and orchestration tools.
Collaborate with cross functional teams to gather requirements and translate them into technical solutions.
Resolve issues and debug AI models.
Key Requirements:
Proven experience in Artificial intelligence, Machine Learning and natural language processing.
Excellent hands-on Python experience.
Understanding of the full SDLC and agile methodologies.
Experience with automation (CI/CD) and containerisation (Kubernetes/Docker) strategies.
Understanding of knowledge graph concepts.
Strong experience translating technical requirements.
This is an initial 6-month contract role which provides a daily rate of £700 (Outside IR35).
In terms of working structure, this is hybrid with 3 days per week in their Macclesfield office and the rest remote.
About the Company
Ventula Consulting is a boutique recruitment firm determined to see our clients grow through hiring exceptional people. Ventula was formed in July 2013 to provide the next generation of recruitment services. We utilize the latest techniques in digital talent attraction and are experts at proactively promoting our clients brands and mission statements to help them attract the highest calibre candidates in an increasingly competitive market. The recruitment landscape has changed dramatically over recent years. Ventula’s evolu... Know more
Related Jobs


- Company Name
- Square One Resources
- Job Title
- Database Administrator | MongoDB | PostgreSQL
- Job Description
- Job Title: Database Administrator Location: Manchester Salary/Rate: Up to £437.50 per day INSIDE IR35 Start Date: 17/03/2025 Job Type: Contract Company Introduction We have an exciting opportunity now available with one of our sector-leading financial services clients! They are currently looking for a skilled Database Administrator to join their team for a six-month contract. Required Skills/Experience The ideal candidate will have the following: Must have hands on experience as Database Administration specifically with MongoDB, PostgreSQL/Oracle. Working with database software to find ways to store, organise and manage data Expert knowledge of RDBMS and NoSQL data stores and working with a variety of structures including JSON and XML Experience of software development with distributed data processing technologies including Oracle, MongoDB, PostgreSQL Experience in keeping databases up to date, troubleshooting, helping with database design & development, and managing database access. Experience in designing maintenance procedures and putting them into operation. Liaising with programmers, applications/operational staff, IT project managers and other technical staff Managing database security/integrity and backup procedures, implementing security measures.


- Company Name
- Dalkia UK
- Job Title
- QSHE Data Analyst - Maternity Cover
- Job Description
- About Dalkia in the UK: Jointly owned by EDF and Dalkia, we are a leading technical services group operating nationwide in the UK. Housing key expertise under one roof, we provide specialist technical services in technical facilities management, mechanical and electrical engineering, energy performance contracting and systems integration and digital services. We leverage the strength of our Group, without losing the personability of a smaller business. We are a people-first culture. In fact, our customers tell us that we build the best people and customer relationships in the business. With an annual turnover of over c.£600m, c. 4,500 employees and a diverse and inclusive ethos, we are proud to attract great talent, nurturing and inducting our people who embed the Dalkia DNA and apply an innovative mindset across all customer engagements. With c. 100 employees, the Dalkia group centre has HR, Finance, Legal, IT, QSHE and Communications teams supporting our business unit colleagues in these specialisms. We provide technical expertise, governance, policy, guidance and support to the business units to provide a high-quality service to their own people and their clients. Roles in the centre work closely with Executive team to shape and deliver our strategic goals but also partner with the business functions to embed the values, behaviours and strategic ambitions. The Role As an QSHE (Safety, Health and Environmental) Data Analyst, you will play a crucial role in supporting Dalkia UK with the effective and efficient utilisation of data across the QSHE team and wider organisation, including data gathering, processing, reporting and analytics to identify trends, reduce risks, and improve overall QSHE performance. Your role will also involve collaborating with various QSHE teams to ensure data accuracy, preparing Power point presentations, and contributing to the development of strategic safety initiatives. This will be a 12 month maternity cover. Your main responsibilities on a day to day basis will be:- Data Management & Reporting: Collect, clean, and manage QSHE-related data from multiple sources, ensuring data accuracy and integrity. Produce periodic performance reports against leading and lagging measures. Analyse incident trends and highlight them to the Group QSHE Director and Strategic Project Lead. Work with internal stakeholders and engage third party consultants to deliver statutory environmental and sustainability reporting requirements (ESOS, SECR, CSR etc.) Systems and Governance: Assume Superuser status for digital solutions (e.g. Reporting System) and provide support to users across the group. Use predictive analytics to forecast potential risks and help develop proactive measures to mitigate safety issues. Manage shared third party QSHE certifications where requested. Develop, maintain and update QSHE intranet pages. Collaboration & Support: Work closely with the QSHE leadership, divisional teams, and relevant stakeholders to understand data requirements and ensure alignment with business objectives. Support any in-house QSHE training delivery activities to meet continuous improvement objectives. Develop and maintain central resources such as campaigns, Tool Box Talks, training packs and event briefs to enable learning and development conversations. Process Improvement: Identify opportunities to enhance the efficiency of QSHE data management processes and reporting mechanisms. Continuously improve and evolve the dashboards and data models to better serve the needs of the QSHE function within the organisation. To be successful in this role you will need:- Educational Qualifications: Bachelor’s degree within Data or Business Analytics or a related field (desirable) Relevant Experience: Experience in data modelling and analytics. Working in a large organisation in a Group function which services multiple companies or stakeholders. Experience developing and managing dashboards. Experience working with large datasets and applying predictive analytics techniques to inform decision-making. Knowledge & Skills: Advanced skillset using Microsoft Excel and Microsoft Power Point and other data visualisation tools. Strong analytical skills with the ability to interpret complex data and create actionable insights. Excellent communication skills, both written and verbal, with the ability to explain technical information to non-technical stakeholders. Familiarity with QSHE regulations, standards, and best practices is a plus. Personal Characteristics & Behaviours: Strong attention to detail and problem-solving skills. Ability to work independently and manage multiple tasks simultaneously. A proactive approach to learning. Ability to work as part of a team. Travel Requirements: We offer hybrid working with at least 1 day a week working in London office. Company benefits: We pay for professional memberships relevant to your role and invest in our people’s professional development Pension Scheme Private Health Insurance 4 x Salary Life Assurance 25 Days Holiday (increasing on service) PLUS Bank holidays Cycle to work scheme An electric vehicle scheme – where we help you lease an electric vehicle for a fixed monthly cost.


- Company Name
- OFS
- Job Title
- Businesss Support/Data Management Specialist
- Job Description
- Data Management/Administrator – Office Only (London) | Wealth Management & Real Estate Location: London (Office Only) Contract Type: 12-Month Fixed Term Salary: £45,000 - £55,000 base + completion bonus About the Role A leading wealth management and real estate firm is seeking a Data Management/Administrator to join their risk, operations, and compliance team. This role requires strong data management skills, excellent communication, and a highly organized approach to support key business functions. Key Responsibilities Manage and maintain data records with high levels of accuracy and diligence Collaborate with internal teams and senior stakeholders to ensure smooth data operations Analyze, organize, and report on key data to support decision-making processes Ensure compliance with industry regulations and company data policies Identify process improvements to enhance data efficiency and integrity Key Requirements Excellent communication skills, capable of engaging with stakeholders at all levels Strong organizational skills with the ability to manage multiple priorities High level of diligence and numeracy, ensuring accurate data processing Experience in data management, operations, or administration within a financial services or real estate environment is ideal Why Join? Competitive salary of £45,000 - £55,000 plus completion bonus Work in a prestigious wealth management and real estate environment Engage with senior stakeholders and develop valuable industry expertise 12-month fixed-term contract with potential opportunities beyond


- Company Name
- Enterprise Blueprints
- Job Title
- Data Architect (Contract)
- Job Description
- Enterprise Blueprints is a boutique IT architecture consultancy formed by Architects focused on Architecture. Our passion for architecture has driven our growth over 15 years and led to an acquisition by Bain & Company at the beginning of 2023 retaining our culture and collaboration whilst opening even more doors to exciting projects and opportunities in the IT architecture space. Our Culture is built on our values of contribution and trusted relationships this applies to our team and our clients. We have an inclusive culture which encourages ideas, input, and collaboration; we are keen for you to bring your skills, experience and personality to the team and engagements you are a part of. We work with architects who want to make an impact. When you join EB, you join an organisation that values your entrepreneurial spirit and contribution to Enterprise Blueprints as well as our clients. You have a chance to do more than delivery. There are opportunities to carve a niche for yourself, add value, use your experience, develop your skills, and define your career trajectory. About the role: We are seeking an experienced Data Architect to support a large-scale transformation program within the financial services industry. This contract role offers the opportunity to work on complex data architecture, pipeline design, and real-time data processing within a cloud-based environment. 6 Month Engagement Inside IR35 Hybrid Working - Mixture of remote/office presence required in Manchester Required Skills & Experience: Proven experience as a Data Architect within the financial services industry. Strong expertise in data warehousing, schema design, and data modeling. Hands-on experience with time series data ingestion and event-driven architectures. Proficiency in data pipeline frameworks (ETL, ELT) and cloud-based data transformation. Extensive knowledge of Google Cloud Platform (GCP), particularly BigQuery. Experience with Apache Kafka for real-time data streaming and event processing.