Development & Cloud Solutions Architect

Northfleet
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Optimisation

Software Dev Intern - AI / Machine Learning

Engineering Lead II - Machine Learning Platform

Senior Data Architect: DataOps, Cloud Analytics & Leadership

LEAD DATA SCIENTIST

Senior Data Scientist SME & AI Architect

Inspirec have partnered with a Digital and Cyber Security Consultancy who are looking to build a team to continue solving problems using software and technology for their clients.
As a Development & Cloud Solutions Architect, you will lead the design and delivery of scalable, secure, and high-performing cloud-based solutions tailored to meet the needs of private and public sector clients.
RESPONSIBILITIES

  • Across AWS, Azure, and GCP, devise and execute flexible, protected data architectures.
  • Give enterprise-wide data models, pipelines, and artificial intelligence frameworks.
  • Use Spark, Kinesis, Pub/Sub to organise real time and batch data processing. Create ML pipelines for effective model training, deployment, and monitoring.
  • Construct AI powered analytical systems, data lakes, and warehouses stored in the cloud.
  • Ensure that data security, privacy, and integrity policies are followed.
  • Offer technical leadership in data engineering, artificial intelligence, and machine learning.
  • Deploy auto AI using CI/CD together with MLOps greatest practices.
  • While guaranteeing high availability and performance, make the best use of cloud assets.
  • Lead groups in choosing technology agnostic data and artificial intelligence tools.
  • Work with the sales team to help form AI driven products and answer RFPs.
  • Give customers technical lectures, proofs of concept, and artificial intelligence demos.
  • Encourage stakeholders to modernise, embrace the cloud, and embrace artificial intelligence. Get engineering teams and senior management involved to coordinate artificial intelligence approaches with corporate aims.
  • Give training seminars, hackathons, and workshops to stimulate creativity. Mentoring groups on optimal approaches in artificial intelligence, data engineering, and cloud structures.
  • Create artificial intelligence powered systems appropriate to security standards and official rules. Convey difficult scientific ideas to stakeholder who themselves are not experts.
    EXPERIENCE & SKILLS REQUIRED
  • Experience in AI/ML platform design, data engineering, and solution architecture.Skilled in current data technologies (Kafka, Spark, Snowflake, Databricks, BigQuery).
  • Proficient in deep learning (TensorFlow, PyTorch) as well as artificial intelligence/machine learning platforms (SageMaker, Azure ML, Vertex AI).
  • Good understanding of responsible Artificial Intelligence practices, model interpretability, and AI ethics.
  • Experience combining artificial intelligence with event driven architectures, APIfirst approach, and microservices.
  • Ability demonstrated to create AI/ML solutions from start to end—from data acquisition to deployment.
  • Knowledge of regulatory compliance, data strategy, and governance in different industries.Experience with cognitive services, decision making, and AI driven automation.
  • Technical presales knowledge, proposition drafting, and stakeholder interaction.
  • Good consulting abilities marrying technical feasibility with corporate requirements.
  • Track history of providing artificial intelligence/data services to enterprise clients and government.Full knowledge of constraints on public sector data policies and compliance requirements.
  • Cybersecurity, health, and financial industries expertise.
  • Trained in Azure, AWS, and common artificial intelligence/machine learning platforms.
    BENEFITS*
    Our client prioritises employee well-being and mental health by offering a comprehensive range of benefits so to enhance both health and career growth.
    Salary depending on experience and background.
    Health Benefits: 24/7 GP Access, Counselling Services, Virtual Physiotherapy, Discounted Gym Memberships, Virtual Gym Classes, Discounted Private Health Cover, Eye Care Discounts.
    Wealth Benefits: Shopping Discounts, Debt Support, Money Advice, Free Credit Reports, Travel Money Savings.
    Education Benefits: Learning Courses, Business Skills Training.
    *Offered only to employees based in the UK

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.