### CI Link

https://gradle-enterprise.elastic.co/s/o5szwywjimd6o/

### Repro line

./gradlew ':x-pack:plugin:core:test' --tests "org.elasticsearch.xpack.core.ml.job.config.JobUpdateTests.testMergeWithJob" -Dtests.seed=574F3B6BEFEFE6BA -Dtests.locale=ar-DZ -Dtests.timezone=Universal -Druntime.java=20

### Does it reproduce?

Yes

### Applicable branches

main

### Failure history

_No response_

### Failure excerpt

```
org.elasticsearch.xpack.core.ml.job.config.JobUpdateTests > testMergeWithJob FAILED
    java.lang.IllegalArgumentException: Cannot convert 8.11.0. Incompatible version
        at __randomizedtesting.SeedInfo.seed([574F3B6BEFEFE6BA:691D63E8F460F0FE]:0)
        at org.elasticsearch.xpack.core.ml.MlConfigVersion.fromVersion(MlConfigVersion.java:274)
        at org.elasticsearch.xpack.core.ml.job.config.JobUpdateTests.testMergeWithJob(JobUpdateTests.java:296)
```

With all these "versions" that we have now decoupled from transport version or node version, we need to ensure that all get bumped when a version bump occurs. There are too many of these things to not catch them in CI in a version bump for a cut release.
x-pack/plugin/core/src/test/java/org/elasticsearch/xpack/core/ml/job/config/JobUpdateTests.java
int rulesSize = randomBoolean() ? randomIntBetween(1, 5) : 0;
            List<DetectionRule> detectionRules = rulesSize == 0 ? null : new ArrayList<>(rulesSize);
            for (int ruleIndex = 0; ruleIndex < rulesSize; ++ruleIndex) {
                int detectorIndex = randomInt(analysisConfig.getDetectors().size() - 1);
                Detector detector = analysisConfig.getDetectors().get(detectorIndex);
                List<String> analysisFields = detector.extractAnalysisFields();
                if (randomBoolean() || analysisFields.isEmpty()) {
                    detectionRules.add(
                        new DetectionRule.Builder(
                            Collections.singletonList(
                                new RuleCondition(
                                    randomFrom(RuleCondition.AppliesTo.values()),
                                    randomFrom(Operator.values()),
                                    randomDouble()
                                )
                            )
                        ).build()
                    );
                } else {
                    RuleScope.Builder ruleScope = RuleScope.builder();
                    int scopeSize = randomIntBetween(1, analysisFields.size());
                    Set<String> analysisFieldsPickPot = new HashSet<>(analysisFields);
                    for (int scopeIndex = 0; scopeIndex < scopeSize; ++scopeIndex) {
                        String scopedField = randomFrom(analysisFieldsPickPot);
                        analysisFieldsPickPot.remove(scopedField);
                        if (randomBoolean()) {
                            ruleScope.include(scopedField, MlFilterTests.randomValidFilterId());
                        } else {
                            ruleScope.exclude(scopedField, MlFilterTests.randomValidFilterId());
                        }