Are you looking to benefit from a new career in Data Analysis?

If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst

We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis.

Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles.

Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners.

Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts:

• Junior Data Analyst - £30,000
• Data Analyst - £50,000
• Business Data Analyst - £67,500
• Data Analytics Analyst - £80,000
• Business Analysts - £60,000

Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis.

The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector.

Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.

Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below.

Step 1 - CompTIA Data+ Qualification

The first step is completing the CompTIA Data+ Qualification accredited by CompTIA.

This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.

Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

The course is provided online and comes complete with exam simulators and revision tools.

You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

This qualification will set you on a route to becoming a data analyst.

Step 2 - Data Administration Training

Data is extracted using various method which are normally IT driven.

Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst.

• Microsoft excel - to expert level.
• Learn SQL - the programming language used for extracting data from more complex databases.
• Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.
• Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.

Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam.

Step 3 - Business Analysis Foundation

Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.

Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT).

Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam.

Step 4 - Recruitment Support

Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have.

We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot.

Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector.

They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need.

Our money back guarantee

If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.

However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.

Check our testimonials from the hundreds of candidates we have already helped.

What Now?

To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.

Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Overview:
Equimundo: Center for Masculinities and Social Justice is seeking a Senior Research Officer to support
our organization’s research portfolio focused on gender and masculinities through rigorous quantitative,
qualitative, and mixed-methods research.

About Equimundo:
Equimundo is a global leader in promoting gender equality and preventing violence by engaging men
and boys in partnership with women, girls, and individuals of all gender identities. We believe that
working with men and boys to transform harmful gender norms and unequal power dynamics is critical
to achieving gender equality. Our core thematic areas of work are Caring Men, Healthy Boyhoods, and
Social Connection. With partners in more than 55 countries, Equimundo s work including high-impact
research, evidence-based programs, and targeted advocacy efforts seeks to create a nonviolent, caring,
and gender-equitable future for all.

Job Description:
The Senior Research Officer reports to the Deputy Director of Research, Evaluation and Learning and
plays an essential role in supporting technical, strategic, operational, financial, and other aspects of
leadership for the projects in the digital portfolio within the Research Department. The position is
full-time and requires up to 30% travel.

In addition to competitive base pay, for US -based employees, we provide:

• Full employee healthcare coverage, including medical, dental, and vision
• Ancillary coverage, including group life, AD&D, short- and long-term disability
• Employer 401k contribution equalling 8% of annual salary
• Commuter benefits
• 4 weeks of PTO, paid holidays, and health leave
• International employees will receive benefits in line with their country s requirements and best practices.

Key responsibilities envisioned for this position:

• Research Portfolio Management
  • Provides oversight and technical leadership throughout all stages of the research cycle, including:
    • Research design and tool development
    • Training of research personnel (internal and external)
    • Data collection, quality assurance, and ethical conduct
    • Data management and analysis
    • Developing knowledge products for diverse audiences
    • Contributing thought leadership to strategic and impactful dissemination
  • Provides project/research management and coordination, including budgeting, contracts, and reporting to funders
  • Effectively coordinates research portfolio, delivering high-quality outcomes while respecting timelines and budgets, with minimal supervision
• Research and Thematic Skills in the Digital Sphere
  • Conducts research on the digital lives of men and boys, including online behaviors, digital interventions, and digital methodologies
  • Develops and implements innovative evaluation approaches for assessing online interventions
  • Applies big data social media listening tools and methodologies to track digital conversations, trends, and sentiment analysis at scale
  • Utilizes digital scraping techniques, web data extraction, and ethical methods for collecting publicly available online data
  • Conducts narrative shift analysis to assess changes in public discourse and cultural narratives
  • Employs adjacent digital research methodologies such as online ethnography, digital content analysis, community monitoring, influence mapping, misinformation/disinformation tracking, and digital storytelling assessment
• Knowledge Leadership
  • Serves as a capacity building resource in several technical skill areas and at least one core thematic area (Caring men, Healthy Boyhoods, and/or Social connection), both internally and externally
  • Maintains connection to the wider research community by actively participating in at least one strategically selected working group or learning collaborative in the area(s) of expertise
  • Seeks opportunities to present organizational research at conferences and events

Qualifications:

Required:

• Master’s Degree; at least 3-5 years relevant work experience.
• Track record of developing innovative evaluation approaches for online interventions
• Experience with project management and partnership development.
• Track record of presenting work to diverse audiences.
• Passionate about Equimundo s mission and goals.
• Deeply committed to diversity, equity, and inclusion. Kind to oneself and others.

Preferred:

• Knowledge and experience within gender and masculinity, and at least one of
• Equimundo’s core thematic areas.
• Prior experience conducting research on the digital lives of men and boys, including online behaviors, digital interventions, and digital methodologies
• Fluency in another language aside from English, preferably French or Arabic.

Compensation:
Equimundo offers competitive and fair salary ranges in Washington, D.C., the not-for-profit and related
sectors. This position ranges between $90,000 and $110,000, depending on years of experience and
academic qualifications.

To Apply (only shortlisted candidates will be contacted)
To apply, please send the following documents as one single PDF file labeled
FirstName_LastName_SeniorResearchOfficer no later than April 13, 2026:

1. Cover letter
2. CV / resumé
3. Three professional references

Please write Senior Research Officer as the subject heading.

This position is expected to begin in May 2026 and is anticipated to be funded through the end of 2028,
with the potential for extension, subject to funding availability. This position is contingent on external
funding.

Machine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit‑learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech | Do you want to work with a business building AI‑native data system that bring clarity and credibility to nature‑based assets? A business tackling complex, real‑world environmental challenges, helping organisations make high‑impact decisions around risk, resilience and commercial performance? This is the chance to join as a Machine Learning Engineer working with a climate‑tech scale‑up applying cutting‑edge Machine Learning to satellite data, weather models and environmental signals, reshaping how nature is valued in real‑world decision‑making. Joining their AI team, you’ll design and deploy models that forecast climate volatility, detect vegetation stress, and generate risk‑driven insights from remote sensing and time‑series data. You’ll work across AI, climate science, geospatial modelling and scalable pipelines, contributing meaningfully from day one. What you’ll be working on: • Building and evaluating Machine Learning/DL models for satellite, weather and climate data • Forecasting environmental and risk‑related signals (volatility, vegetation stress, land‑surface change) • Developing geospatial and remote‑sensing models (Sentinel‑1/2, GEDI, optical, radar, LiDAR) • Creating time‑series and forecasting models for environmental change • Translating business questions into robust modelling problems • Turning research prototypes into scalable, reproducible AI pipelines • Communicating assumptions, uncertainty and results clearly The must‑haves: • Strong background in Machine Learning, DL and Applied Statistics • Time‑series modelling + backtesting • Experience with geospatial and climate datasets • Python stack: PyTorch, scikit‑learn, scipy • Reproducible workflows (Git, AWS/cloud, W&B) Nice‑to‑haves: • Risk modelling, financial time series, portfolio optimisation (great for FinTech/quant backgrounds) • Climate/weather datasets (CMIP, forecast data) • Geospatial tools: rasterio, xarray, geopandas, GDAL • Remote sensing (optical, radar, LiDAR) • MLOps: CI/CD, containerisation, monitoring • Startup or fast‑paced product environment The role offers £110k–£130k, a global team environment, and the chance to shape the future of AI‑powered environmental and risk intelligence. If it ticks those boxes, don’t hang about message me: (url removed) Machine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit‑learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech

About the opportunity

Are you ready to launch a career in the fast-growing world of Data Analytics and Business Intelligence?

Netcom Training’s fully-funded Certificate in Data (Level 3) equips you with the technical skills employers are actively seeking. Unlike standard administration courses, this programme focuses on the specific tools used by industry pros, including Excel, SQL, Tableau, and Power BI.

From sourcing and cleansing data to creating visual dashboards that drive business decisions , you will gain hands-on experience that prepares you for roles like Junior Data Analyst, Data Technician, or Business Analyst.

Upon completion of this course your profile will marketed to our excusive network of hiring partners with active roles and you will be guaranteed a dedicated career coach

Course Details

• Start Date: 07/04
• Duration: 17 weeks, Mon-Thur, 6-9PM
• Format: Online, practical workshops
• Qualification: NCFE Accredited Level 3 Certificate

What you’ll learn

You will move beyond the basics and master the full data lifecycle:

• Core Tools: Gain hands-on skills in Excel, SQL, Tableau, and Power BI.
• Data Sourcing: Understand common data sources and how to collect data effectively.
• Processing: Learn to format, blend, link, and save datasets using professional tools.
• Analysis: Apply statistical methods and algorithms to filter data and support business outcomes.
• Visualisation: Create clear, engaging dashboards to present insights to stakeholders.
• Security & Compliance: Understand GDPR and legal requirements for secure data handling.
• Collaboration: Learn to work effectively within multi-functional teams.

Career Pathway

Successful participants will be marketed to our excusive network of hiring partners with active roles and you will be guaranteed a dedicated career coach.

Potential Roles:

• Junior Data Analyst
• Junior Business Analyst
• Data Technician
• Data Administrator

Eligibility

This is a government-funded opportunity. To apply, you must:

• Live in Greater Manchester
• Be aged 19 or over.
• Have lived in the UK/EU for a minimum of 3 years.
• Earn below the gross annual wage cap (approx. £32,400 for GMCA).
• Prerequisites: Basic IT skills are required.

Cost

This is a fully-funded course with no fees - complete the training, gain your Level 3 Certificate.

Location: Remote (UK-based applicants only)

This listing is for a paidstructured Data Analyst Career Programme, not a traditional job.

We are recruiting motivated UK-based candidates who want to transition into a Data Analyst career through a guided, industry-aligned training programme with portfolio projects, certifications, and career support.

This is a 6-month, part-time, online Data Analyst Career Programme designed to help beginners and career-switchers gain job-ready data analyst skills and prepare for real roles in the UK job market.

You will be trained in the exact tools and workflows employers expect from junior and entry-level data analysts.

What you will learn

• Data analysis using Excel, SQL, Python
• Business intelligence and dashboards with Power BI
• Data cleaning, data modelling, and reporting
• Real-world portfolio projects for your CV and LinkedIn
• Interview preparation and career coaching
• Understanding how data analysts work in real companies

What You Get

• Structured online training (8-10 hours per week)
• Multiple hands-on portfolio projects
• Industry-recognised certifications
• Career coaching and job search support
• Guidance on CVs, LinkedIn, and interviews
• A clear pathway into junior / entry-level data analyst roles

Who This Is For

This programme is suitable if you are:

• Based in the United Kingdom
• A graduate, career switcher, or early-career professional
• Interested in starting a career in data analytics
• Willing to commit consistent time to structured learning
• Looking for guidance rather than self-study alone

Who This Is NOT For

• This is not a salaried job
• This is not free training
• Not suitable if you are not based in the UK
• Not suitable if you are unwilling to invest time in learning

This listing is for a paid training programme, not direct employment. Successful completion prepares candidates for entry-level data analyst roles, but employment is not automatic.

How to Apply

Apply to express interest and speak with an advisor to confirm eligibility and fit for the programme.Spaces are limited per cohort.

Equality, Diversity and Inclusion

Our programmes are open to all individuals regardless of age, gender identity, marital status, race, ethnicity, religion or belief, disability, sexual orientation, pregnancy, or socioeconomic background.

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 www.jazzpharmaceuticals.com for more information.

Essential Functions
• Support 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.
• Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives.
• Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients’ engagement.
• Support the 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.
• Ensuring compliance with regulatory requirements and data privacy standards.

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.
• Knowledge/experience with digital healthcare tools design and development
• 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 compute cloud-based platforms and services, in particular AWS.
•Familiarity with code version control and MLOps deployment approaches.

Required/Preferred Education and Licenses
•Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field
•3 – 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data.
•Experience in healthcare/AI implementation in healthcare field is a plus.
•Knowledge of digital healthcare tools design and development

#LI-Remote

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: https://careers.jazzpharma.com/benefits.html.

Trainee AI Engineer - No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? Their AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Candidates earn £28,000-£45,000. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Projecti Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. They Get You Hired They 're not new to this. The company has 15+ years of experience and has placed over 5,000 people into new roles. Their job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. They don't believe in empty promises. Complete their programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, they'll help you turn that into a career you can be proud of. Apply now, and one of thier expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

AI Engineer Placement Programme- No Experience Needed Future-proof your career in Artificial Intelligence - starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? Their AI Placement Programme is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Candidates earn £28,000-£45,000. How It Works Step 1 - AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 - Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 - Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 - Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 - Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 - Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 - AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 - AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 - Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 - AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. They Get You Hired They 're not new to this. The company has 15+ years of experience and has placed over 5,000 people into new roles. Their job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. They don't believe in empty promises. Complete their programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you're motivated, curious, and excited about technology, they'll help you turn that into a career you can be proud of. Apply now, and one of thier expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts.

If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science.

We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science.

Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles.

Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners.

Current average salaries in the sector for lower-level positions and fully trained Data Experts:

• Junior Data Analyst - £30,000
• Data Analyst - £50,000
• Business Analysts - £60,000
• Data Scientist - £65,000

Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science.

Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector.

Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.

Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks.

Step 1 - Data Administration Training

Data is extracted using various method which are normally IT driven.

We provide you with access to the following courses to ensure you are employable as a data analyst.

• Microsoft excel - to expert level.
• Learn SQL - the programming language used for extracting data from more complex databases.
• Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.
• Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.

Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam.

Step 2 - CompTIA Data+ Qualification

The first step is completing the CompTIA Data+ Qualification accredited by CompTIA.

This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.

Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam.

The course is online and comes complete with exam simulators and revision tools.

You will have access to a tutor and a 1-hour online revision workshop prior to your exam.

This qualification sets you on course to becoming a data analyst.

Step 3 - Business Analysis Foundation

Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.

A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS.

Study time is around 15 hours, and qualification is achieved by online exam.

Step 4 - Recruitment Support

Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience.

We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot.

Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role.

They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need.

Step 5 - CompTIA Data X Qualification

Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist.

This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately.

Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level.

Our money back guarantee

If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.

However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.

Check out our testimonials.

What Now?

To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.

Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

OurclientisbuildingthemostadvancedAIplatformintheirmarket.Theyhelptheirclientsservecustomerswithunmatchedspeedandaccuracy.

TheyveinvestedheavilyintobuildingtheMLstack,partneredwithleadinguniversities,andtrainedmodelsonmillionsofexpert-taggedimages.Now,theyrescalinggloballyandneedaworld-classLeadDataScientisttohelppushtheboundariesofcomputervision,videoanalysis,andmultimodalLLMswhilesolvingreal-worldchallenges.

RoleOverview

TheyarelookingforanexperiencedLeadDataScientisttospearheadmachine-learninginitiatives,withparticularfocusoncomputervision,largelanguagemodels,andproductionreadyMLpipelinesinAzure.Youwillactasthetechnicalleadfortheteam,settingdirection,guidingbestpractices,andensuringthesuccessfuldeliveryofhigh-impactAIsolutions.

KeyResponsibilities

Develop,train,anddeploycomputervisionmodels(objectdetection,imageclassification,segmentation,multi-modallearning)

Fine-tune,evaluate,andproductionisemulti-modalLLMsforbusinessapplications.

DriveexperimentationandprototypingofadvancedML/AItechniques

Providetechnicaldirection,mentoring,andhands-onguidancetothedatascienceteam.

Workwithengineering,product,andbusinessstakeholderstoalignMLstrategywithbusinessgoals.

Architectandproductioniseend-to-endMLpipelinesonAzure,whileensuringscalability,reproducibility,andmonitoringofdeployedmodels.

Requirements

6+yearsindatascience/ML,withatleast2yearsinatechnicalleadrole.

Deepexperienceintraininganddeployingcomputervisionmodelsintoproduction

ProventrackrecordwithLLMfine-tuning,promptengineeringandproductionisation

DeepexperienceinMLOpsonAzure,includingCI/CD,monitoringandscalingpipelines.

StrongcodingskillsinPython,withframeworkssuchasPyTorch,FastAPIandAzureCLI.

ALL APPLICANTS MUST BE FREE TO WORK IN THE UK
Exposed Solutions is acting as an employment agency to this client.
Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.

Please note this is a training course and fees apply

Are you looking to benefit from a new career in Data Analysis?

If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst

We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis.

Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles.

Demand for Data Analysts has grown 20% year on year. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners.

Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis.

The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector.

Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.

Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below.

Step 1 - CompTIA Data+ Qualification

The first step is completing the CompTIA Data+ Qualification accredited by CompTIA.

This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.

Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

The course is provided online and comes complete with exam simulators and revision tools.

You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

This qualification will set you on a route to becoming a data analyst.

Step 2 - Data Administration Training

Data is extracted using various method which are normally IT driven.

Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst.

• Microsoft excel - to expert level.
• Learn SQL - the programming language used for extracting data from more complex databases.
• Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.
• Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.

Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam.

Step 3 - Business Analysis Foundation

Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.

Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT).

Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam.

Step 4 - Recruitment Support

Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have.

We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot.

Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector.

They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need.

Our money back guarantee

If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.

However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.

Check our testimonials from the hundreds of candidates we have already helped.

What Now?

To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.

Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Role Purpose

To support the Asset Data Analyst in managing and enhancing asset management data systems. The role focuses on ensuring high-quality data is maintained, developed, and effectively used to inform investment decisions, long-term planning, and compliance with relevant regulatory standards.

Key responsibilities include maintaining accurate property and asset records, supporting energy efficiency data management, and contributing to strategic planning through reliable data insights.

Key Responsibilities

Asset Data Management

Under the direction of the Asset Data Analyst:

• Collect, validate, input, manipulate, extract, and analyse asset-related data.
• Ensure data accuracy by challenging inconsistencies provided by internal teams and external contractors.
• Coordinate and support programmes of stock condition surveys.
• Gather stock condition and component lifecycle data from multiple sources and formats, ensuring timely and accurate input into asset management systems.
• Reconcile property address data across asset management and housing management systems to maintain consistency.
• Generate scenario modelling from asset databases to support investment planning, financial forecasting, and maintenance programmes.
• Review and update cost data schedules and component lifecycle assumptions within asset systems.
• Maintain the security, integrity, and confidentiality of asset data in line with organisational policies and procedures.
• Continuously improve the scope, accessibility, and accuracy of asset data.
• Produce reports relating to stock condition, regulatory compliance, financial planning, and energy efficiency performance.
• Maintain and update data relating to the energy efficiency of residential properties.
• Provide accurate and comprehensive asset and property data to support strategic planning and organisational objectives.
• Respond to enquiries regarding asset management and energy efficiency from stakeholders, including internal teams and residents.
• Support the monitoring and review of the Asset Management Strategy and associated documentation.
• Deliver training and guidance to staff on accessing and using asset management systems.

Business Continuity

• Contribute to business continuity planning and, where required, support the recovery of key services within defined timeframes.

Health and Safety

• Comply with all relevant health and safety legislation and organisational policies.
• Identify, manage, and monitor risks within the scope of the role.

About the opportunity

Are you ready to launch a career in the fast-growing world of Data Analytics and Business Intelligence?

Netcom Training s fully-funded Certificate in Data (Level 3) equips you with the technical skills employers are actively seeking. Unlike standard administration courses, this programme focuses on the specific tools used by industry pros, including Excel, SQL, Tableau, and Power BI.

From sourcing and cleansing data to creating visual dashboards that drive business decisions , you will gain hands-on experience that prepares you for roles like Junior Data Analyst, Data Technician, or Business Analyst.

Upon completion of this course your profile will marketed to our excusive network of hiring partners with active roles and you will be guaranteed a dedicated career coach

Course Details

• Start Date: 07/04
• Duration: 17 weeks, Mon-Thur, 6-9PM
• Format: Online, practical workshops
• Qualification: NCFE Accredited Level 3 Certificate

What you ll learn

You will move beyond the basics and master the full data lifecycle:

• Core Tools: Gain hands-on skills in Excel, SQL, Tableau, and Power BI.
• Data Sourcing: Understand common data sources and how to collect data effectively.
• Processing: Learn to format, blend, link, and save datasets using professional tools.
• Analysis: Apply statistical methods and algorithms to filter data and support business outcomes.
• Visualisation: Create clear, engaging dashboards to present insights to stakeholders.
• Security & Compliance: Understand GDPR and legal requirements for secure data handling.
• Collaboration: Learn to work effectively within multi-functional teams.

Career Pathway

Successful participants will be marketed to our excusive network of hiring partners with active roles and you will be guaranteed a dedicated career coach.

Potential Roles:

• Junior Data Analyst
• Junior Business Analyst
• Data Technician
• Data Administrator

Eligibility

This is a government-funded opportunity. To apply, you must:

• Live in Greater Manchester
• Be aged 19 or over.
• Have lived in the UK/EU for a minimum of 3 years.
• Earn below the gross annual wage cap (approx. £32,400 for GMCA).
• Prerequisites: Basic IT skills are required.

Cost

This is a fully-funded course with no fees complete the training, gain your Level 3 Certificate.

Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy.

They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges.

Role Overview

They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions.

Key Responsibilities

Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning)

Fine-tune, evaluate, and productionise multi-modal LLMs for business applications.

Drive experimentation and prototyping of advanced ML/AI techniques

Provide technical direction, mentoring, and hands-on guidance to the data science team.

Work with engineering, product, and business stakeholders to align ML strategy with business goals.

Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models.

Requirements

6+ years in data science / ML, with at least 2 years in a technical lead role.

Deep experience in training and deploying computer vision models into production

Proven track record with LLM fine-tuning, prompt engineering and productionisation

Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines.

Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI.

ALL APPLICANTS MUST BE FREE TO WORK IN THE UK
Exposed Solutions is acting as an employment agency to this client.
Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.

We are seeking an experienced AI Engineer to develop and implement innovative AI solutions within the industrial and manufacturing sector. The role focuses on leveraging data analytics to optimise processes and drive efficiency.

Client Details

A well know manufacturing company with a global presence

Description

• Design and develop AI models to optimise manufacturing processes and workflows.
• Collaborate with cross-functional teams to identify and solve key operational challenges using analytics.
• Implement machine learning algorithms and predictive analytics to improve process efficiency.
• Analyse large datasets to extract actionable insights and present findings to stakeholders.
• Monitor and maintain AI models to ensure optimal performance and accuracy over time.
• Contribute to the development of data pipelines and infrastructure to support AI initiatives.
• Ensure compliance with industry standards and best practices in AI and data analytics.
• Document processes, methodologies, and project outcomes for internal knowledge sharing.

Profile

A successful AI Engineer should have:

• Proven experience in developing and implementing AI and machine learning models.
• Proficiency in programming languages such as Python, R, or similar tools.
• Machine Vision experience is beneficial
• Previously worked in manufacturing business with multiple sites

Job Offer

Day rate of (Apply online only) per day (outside IR35)

3 month contract with potential extension

Remote role, with occasional travel to site

Senior Data & Analytics Consultant - Fully Remote - Microsoft partner

60,000 - 70,000 + Bonus and the chance to have shares in the business as they move to an employee owned model.

A well established MS partner who are experiencing growth through a very strong project pipeline are looking to add a Senior Data & Analytics Consultant to their team.

The Senior Data & Analytics Consultant will play a key role in helping their customers turn data into meaningful insight and measurable impact.

In this role, you will design and deliver robust data and analytics solutions that strengthen data foundations, enable AI-driven initiatives, and support better operational and strategic decision-making.

You will design and deliver data solutions within the Microsoft ecosystem, including Azure Data Services, Microsoft Dataverse, Power BI, and Dynamics 365 integrations.

Main Duties and Responsibilities:

Data Strategy & Advisory
Data Governance & Quality
Data Analytics & Insights
Data Management & Warehousing
ETL & Data Integration
Data Architecture & Engineering

Knowledge and Experience

5+ years’ strong experience in data analytics, engineering, or business intelligence
within a consultancy or technology services environment
Proven expertise in data modelling, warehousing, and relational database design
Experience designing and delivering cloud-based data solutions, particularly within
Microsoft Azure
Knowledge of ETL processes and data integration across multiple systems
Experience integrating Microsoft technologies (e.g., Dynamics 365, Azure Data
Services, Power BI) with third-party platforms
Understanding of data governance, security, and compliance principles
Hands-on experience with SQL and one or more data programming languages
Strong understanding of Microsoft Dataverse data structures and integration patterns
Experience delivering complex data projects in customer environments
Experience working with and understanding public sector data, security and
governance

Technical Abilities

Proficiency in Microsoft Power BI, SQL, and Azure Data Services
Experience with data integration tools, APIs, and middleware
Knowledge of ETL tools such as Azure Data Factory, SSIS, or similar
Experience with data warehouses, data lakes, and modern data platforms
Familiarity with advanced analytics or machine learning concepts
Experience with Microsoft Power Platform for process automation
Understanding of statistical analysis, reporting, and visualisation techniques

This role will be fully remote with the occasional travel to client site.

You must be eligible for SC clearance due to the nature of their clients so you will need to be a UK national who includes a minimum of 5 years consecutive UK residency.

Please reach out to me on (phone number removed) or (url removed) to find out more about the Senior Data & Analytics Consultant position and get your application moving!

Are you ready to start a new career in AI Engineering? AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. In today's digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away. Newto Training can support you at any stage of your career journey whether you're new to the industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready. Step One Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications, all alongside real-world project work to harness the power and understanding of these technologies. We also provide two digital badges: CompTIA AI Essentials and CompTIA AI Prompting Essentials. Step Two Study and take your three AI and data certifications: Azure AI Fundamentals, Azure Data Fundamentals, CompTIA Data+ and CompTIA Data AI. Step Three Now that you're qualified for an entry-level AI or data position paying up to £35,000 per year, our recruitment support team will begin working with you to help secure a role that suits your new qualifications and any other experience you bring. Course cost £2295, or, £191.25 per month We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. No prior industry experience is required - no matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. Click 'Apply Now' to begin your new career!

Ready to start your career as a Data Analyst?

The demand for skilled data professionals in the UK is booming - and organisations are searching for people who can turn raw data into meaningful insight. If you’re looking for a career with purpose and strong growth, our Data Analyst Career Programme is built for you, with a job guarantee on completion.

Why this programme matters

We focus on equipping you with both the tools and the real-world experience you need to hit the ground running. With industry-recognised certifications, live instruction and project work you’ll be ready for business challenges from day one.

What you’ll get:

• Seven training modules, covering Excel, SQL, Python, Tableau, Power BI and more.
• Three official certifications: Microsoft Azure Data Fundamentals, Microsoft Power BI Data Analyst Associate and Microsoft Azure AI Fundamentals.
• Real-world project work to enhance your CV and show our end employers you can deliver.
• Job guarantee: If you complete the programme and don’t receive a job offer, we’ll refund 100% of your course fee.

Your investment:

• Course cost: £2,795
• Payment plan: From £232.91 per month (interest-free)

No prior tech-job experience? No problem.

You don’t need to come from a data background. If you bring curiosity, communication skills, and a willingness to learn, this programme will equip you for a transition into a demanding and rewarding role.

Take the next step now.

Click ‘Apply Now’ and embark on a career where data drives decisions, and you drive your future.

Data Modeller

Remote- Warwick based business
£40,000 - £45,000

A growing engineering consultancy working within the UK water and utilities sector is looking to hire Junior Hydraulic Modellers to join their expanding team.

This is a great opportunity for someone early in their career to develop their experience in hydraulic modelling and water network analysis, working on projects across regulated utilities.

The Role
As a Junior Hydraulic Modeller, you will support the delivery of hydraulic modelling and analysis across water and wastewater networks, working alongside experienced engineers on a range of infrastructure projects.

Key responsibilities include:
Supporting hydraulic modelling of water and wastewater networks
Developing and maintaining hydraulic models
Analysing network performance and system behaviour
Assisting with data analysis and modelling activities
Supporting project delivery and technical reporting

Requirements
We are keen to speak with candidates who have:
Experience or exposure to hydraulic modelling or water network analysis
A background within water utilities, engineering consultancies, or infrastructure environments
Knowledge of modelling tools such as InfoWorks, EPANET, or similar software
Strong analytical and problem-solving skills

What’s On Offer
Salary of £40,000 - £45,000
Remote working
Opportunity to work on projects within the UK water sector
Strong development opportunities within a growing team

Job Title: AI Engineer / Data & AI Scientist (LLM, Generative AI, Python)

We are recruiting for an AI Engineer / Data & AI Scientist to join a high-impact programme building next-generation conversational AI and generative AI platforms. This role focuses on developing production-grade LLM applications, agent-based AI systems and RAG pipelines used in large-scale customer-facing environments.

This is an opportunity to work on advanced AI assistant and conversational AI technology, building scalable multi-agent architectures and generative search systems using modern AI frameworks.

Key Responsibilities

• Design and build LLM-powered applications using Python and Generative AI frameworks
• Develop RAG (Retrieval Augmented Generation) pipelines and AI orchestration workflows
• Build and deploy agent-based AI systems using tools such as LangGraph, CrewAI or similar frameworks
• Engineer scalable AI infrastructure across Azure and GCP environments
• Implement prompt engineering, model evaluation and LLMOps monitoring
• Develop AI products including conversational AI assistants, summarisation tools and generative search capabilities

Required Skills

• Strong Python development experience
• Experience building production LLM or Generative AI applications
• Knowledge of RAG pipelines, prompt engineering and vector search
• Experience with agentic AI frameworks (LangGraph, CrewAI or similar)
• Exposure to LLMOps, model evaluation or monitoring
• Experience with cloud AI platforms such as Azure AI or Vertex AI (GCP)

Desirable Experience

• Conversational AI or AI assistant platforms
• Multi-agent architectures
• Responsible AI, AI ethics or guardrail design
• Agile / Scrum environments

This is an excellent opportunity for an AI Engineer, Machine Learning Engineer, LLM Engineer or Generative AI Engineer looking to build production AI systems and next-generation conversational AI platforms.

Apply now to work on cutting-edge generative AI and LLM technologies.

Tech Focus: Azure / OpenAI / Copilot

Rate: Inside IR35: £500-£600/day

Location: Fully Remote

This is a fantastic opportunity for an AI Engineer to join a global construction and property consultancy that has undergone significant digital transformation. The organisation has invested heavily in its digital and data foundations and now wants to accelerate its AI capabilities. They have already built an AI platform and identified use cases. They now need an engineer who can help bring them to life.

Although the journey has begun, this hire is critical. As the AI Engineer, you will be driving this forward. Taking a hands-on role in developing AI solutions from the ground up and establishing best practices, standards, and guardrails for future development.

The organisation wants to leverage AI to streamline processes, solve complex challenges, and deliver tangible business outcomes. They work exclusively within the Microsoft Azure ecosystem, so practical experience with AI tooling in a cloud environment is essential.

What We Are Looking For

• Proven, practical AI development experience - building solutions that have delivered real business outcomes
• Experience developing chatbots, agentic AI, or similar applied AI applications
• Strong understanding of best practices, governance, and guardrails for safe and scalable AI adoption
• Scripting experience - Python, R, or Java.
• Hands-on experience with Azure cloud AI services, such as: Azure AI, Azure Machine Learning, Azure OpenAI (Open to candidates with equivalent experience in other cloud environments)
• Experience with Copilot (or similar tools)
• Experience with OpenAI models

Why This Role?

This is a unique opportunity to help to shape the future of AI for a global business and will give you an exceptional opportunity to further develop your skills and take more ownership.

If this sounds like the right fit and you’d like to find out more, please apply directly and we’ll be in touch.